From 7778eaf31b1efa30a4d6c118b2533f7a83049f23 Mon Sep 17 00:00:00 2001 From: Pavol Mulinka Date: Thu, 24 Dec 2020 16:50:29 +0100 Subject: [PATCH 01/10] initial_commit_with_cjk_features --- editquality/feature_lists/wikitext.py | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/editquality/feature_lists/wikitext.py b/editquality/feature_lists/wikitext.py index dd90daf3..786cdc59 100644 --- a/editquality/feature_lists/wikitext.py +++ b/editquality/feature_lists/wikitext.py @@ -91,3 +91,26 @@ def _process_new_longest(p_longest, r_longest): depends_on=[wikitext.revision.parent.longest_repeated_char, wikitext.revision.longest_repeated_char]) ] + +if hasattr(wikitext.revision, 'cjk') and hasattr(wikitext.revision.parent, 'cjk'): + parent.append( + log(wikitext.revision.parent.cjk_chars + 1), + log(wikitext.revision.parent.cjk.cjks + 1), + div(wikitext.revision.parent.cjk_chars, + max(wikitext.revision.parent.cjk.cjks, 1), + name="revision.parent.cjkchars_per_cjkwordthing"), + div(wikitext.revision.parent.cjk.cjks, + max(wikitext.revision.parent.cjk.tokens, 1), + name="revision.parent.cjkwordthings_per_token"), + ) + diff.append( + sub(wikitext.revision.cjk_chars, + wikitext.revision.parent.cjk_chars, + name="revision.diff.cjkchars_change"), + sub(wikitext.revision.cjk.tokens, + wikitext.revision.parent.cjk.tokens, + name="revision.diff.tokens_change_inc_cjktokens"), + sub(wikitext.revision.cjk.cjks, + wikitext.revision.parent.cjk.cjks, + name="revision.diff.cjkwordthings_change"), + ) \ No newline at end of file From 4222d4639ca3b663a08631bfdcba2f21712bf3fb Mon Sep 17 00:00:00 2001 From: Pavol Mulinka Date: Sat, 26 Dec 2020 18:15:20 +0100 Subject: [PATCH 02/10] added cjk features --- editquality/feature_lists/jawiki.py | 3 ++ editquality/feature_lists/kowiki.py | 3 ++ .../feature_lists/tests/test_zhwiki.py | 26 +++++++++++ editquality/feature_lists/wikitext.py | 44 +++++++++---------- editquality/feature_lists/zhwiki.py | 4 +- 5 files changed, 57 insertions(+), 23 deletions(-) create mode 100644 editquality/feature_lists/tests/test_zhwiki.py diff --git a/editquality/feature_lists/jawiki.py b/editquality/feature_lists/jawiki.py index 3e2db908..31b09889 100644 --- a/editquality/feature_lists/jawiki.py +++ b/editquality/feature_lists/jawiki.py @@ -27,5 +27,8 @@ enwiki.badwords + enwiki.informals "Damaging Features" +cjk = wikitext.parent_cjk + wikitext.diff_cjk +"CJK features" + reverted = damaging goodfaith = damaging diff --git a/editquality/feature_lists/kowiki.py b/editquality/feature_lists/kowiki.py index 1854bf91..dee68bed 100644 --- a/editquality/feature_lists/kowiki.py +++ b/editquality/feature_lists/kowiki.py @@ -27,5 +27,8 @@ enwiki.badwords + enwiki.informals + enwiki.dict_words "Damaging Features" +cjk = wikitext.parent_cjk + wikitext.diff_cjk +"CJK features" + reverted = damaging goodfaith = damaging diff --git a/editquality/feature_lists/tests/test_zhwiki.py b/editquality/feature_lists/tests/test_zhwiki.py new file mode 100644 index 00000000..cd900900 --- /dev/null +++ b/editquality/feature_lists/tests/test_zhwiki.py @@ -0,0 +1,26 @@ +from revscoring.dependencies import solve +from revscoring.datasources import revision_oriented +from .. import zhwiki + + +p_text_text = """ +中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， +回頭見 拜拜 回見 +""" + +r_text_text = """ +中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， +回頭見 拜拜 回見 你怎么样 +""" + +r_text = revision_oriented.revision.text +p_text = revision_oriented.revision.parent.text + + +cache = {p_text: p_text_text, + r_text: r_text_text} + + +def test_zhwiki(): + assert ([round(i) for i in solve(zhwiki.cjk, cache=cache)] == + [4, 2, 7, 0, 4, 2, 1]) diff --git a/editquality/feature_lists/wikitext.py b/editquality/feature_lists/wikitext.py index 786cdc59..27f772ff 100644 --- a/editquality/feature_lists/wikitext.py +++ b/editquality/feature_lists/wikitext.py @@ -33,6 +33,17 @@ def _process_new_longest(p_longest, r_longest): name="revision.parent.markups_per_token"), ] +parent_cjk = [ + log(wikitext.revision.parent.cjk_chars + 1), + log(wikitext.revision.parent.cjk.cjks + 1), + div(wikitext.revision.parent.cjk_chars, + max(wikitext.revision.parent.cjk.cjks, 1), + name="revision.parent.cjkchars_per_cjkwordthing"), + div(wikitext.revision.parent.cjk.cjks, + max(wikitext.revision.parent.cjk.tokens, 1), + name="revision.parent.cjkwordthings_per_token"), +] + diff = [ wikitext.revision.diff.markup_delta_sum, wikitext.revision.diff.markup_delta_increase, @@ -92,25 +103,14 @@ def _process_new_longest(p_longest, r_longest): wikitext.revision.longest_repeated_char]) ] -if hasattr(wikitext.revision, 'cjk') and hasattr(wikitext.revision.parent, 'cjk'): - parent.append( - log(wikitext.revision.parent.cjk_chars + 1), - log(wikitext.revision.parent.cjk.cjks + 1), - div(wikitext.revision.parent.cjk_chars, - max(wikitext.revision.parent.cjk.cjks, 1), - name="revision.parent.cjkchars_per_cjkwordthing"), - div(wikitext.revision.parent.cjk.cjks, - max(wikitext.revision.parent.cjk.tokens, 1), - name="revision.parent.cjkwordthings_per_token"), - ) - diff.append( - sub(wikitext.revision.cjk_chars, - wikitext.revision.parent.cjk_chars, - name="revision.diff.cjkchars_change"), - sub(wikitext.revision.cjk.tokens, - wikitext.revision.parent.cjk.tokens, - name="revision.diff.tokens_change_inc_cjktokens"), - sub(wikitext.revision.cjk.cjks, - wikitext.revision.parent.cjk.cjks, - name="revision.diff.cjkwordthings_change"), - ) \ No newline at end of file +diff_cjk = [ + sub(wikitext.revision.cjk_chars, + wikitext.revision.parent.cjk_chars, + name="revision.diff.cjkchars_change"), + sub(wikitext.revision.cjk.tokens, + wikitext.revision.parent.cjk.tokens, + name="revision.diff.tokens_change_inc_cjktokens"), + sub(wikitext.revision.cjk.cjks, + wikitext.revision.parent.cjk.cjks, + name="revision.diff.cjkwordthings_change"), +] diff --git a/editquality/feature_lists/zhwiki.py b/editquality/feature_lists/zhwiki.py index b5777201..79d23bd0 100644 --- a/editquality/feature_lists/zhwiki.py +++ b/editquality/feature_lists/zhwiki.py @@ -1,5 +1,4 @@ from revscoring.languages import chinese - from . import enwiki, mediawiki, wikipedia, wikitext badwords = [ @@ -35,5 +34,8 @@ enwiki.badwords + enwiki.informals "Damaging Features" +cjk = wikitext.parent_cjk + wikitext.diff_cjk +"CJK features" + reverted = damaging goodfaith = damaging From 811202cbaa0a165d99778c49af814cad2da0d7f3 Mon Sep 17 00:00:00 2001 From: Pavol Mulinka Date: Mon, 4 Jan 2021 16:32:26 +0100 Subject: [PATCH 03/10] update --- editquality/about.py | 2 +- editquality/feature_lists/jawiki.py | 6 +- editquality/feature_lists/kowiki.py | 6 +- .../feature_lists/tests/test_cjk_wiki.py | 57 +++++++++++++++++++ .../feature_lists/tests/test_zhwiki.py | 26 --------- editquality/feature_lists/wikitext.py | 8 +-- editquality/feature_lists/zhwiki.py | 7 +-- requirements.txt | 2 +- 8 files changed, 70 insertions(+), 44 deletions(-) create mode 100644 editquality/feature_lists/tests/test_cjk_wiki.py delete mode 100644 editquality/feature_lists/tests/test_zhwiki.py diff --git a/editquality/about.py b/editquality/about.py index ebcffb76..6f084333 100644 --- a/editquality/about.py +++ b/editquality/about.py @@ -1,5 +1,5 @@ __name__ = "editquality" -__version__ = "0.5.0" +__version__ = "0.5.1" __author__ = "Aaron Halfaker" __author_email__ = "ahalfaker@wikimedia.org" __description__ = "A library for performing automatic detection of the " + \ diff --git a/editquality/feature_lists/jawiki.py b/editquality/feature_lists/jawiki.py index 31b09889..1eeef0c6 100644 --- a/editquality/feature_lists/jawiki.py +++ b/editquality/feature_lists/jawiki.py @@ -24,11 +24,9 @@ wikitext.parent + wikitext.diff + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + \ - enwiki.badwords + enwiki.informals + enwiki.badwords + enwiki.informals + \ + wikitext.parent_cjk + wikitext.diff_cjk "Damaging Features" -cjk = wikitext.parent_cjk + wikitext.diff_cjk -"CJK features" - reverted = damaging goodfaith = damaging diff --git a/editquality/feature_lists/kowiki.py b/editquality/feature_lists/kowiki.py index dee68bed..59e3e53b 100644 --- a/editquality/feature_lists/kowiki.py +++ b/editquality/feature_lists/kowiki.py @@ -24,11 +24,9 @@ wikitext.parent + wikitext.diff + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + \ - enwiki.badwords + enwiki.informals + enwiki.dict_words + enwiki.badwords + enwiki.informals + enwiki.dict_words + \ + wikitext.parent_cjk + wikitext.diff_cjk "Damaging Features" -cjk = wikitext.parent_cjk + wikitext.diff_cjk -"CJK features" - reverted = damaging goodfaith = damaging diff --git a/editquality/feature_lists/tests/test_cjk_wiki.py b/editquality/feature_lists/tests/test_cjk_wiki.py new file mode 100644 index 00000000..d52529fe --- /dev/null +++ b/editquality/feature_lists/tests/test_cjk_wiki.py @@ -0,0 +1,57 @@ +from revscoring.dependencies import solve +from revscoring.datasources import revision_oriented +from .. import zhwiki +from .. import jawiki +from .. import kowiki + + +r_text = revision_oriented.revision.text +p_text = revision_oriented.revision.parent.text + + +def test_zhwiki(): + p_text_text = """ + 中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， + 回頭見 拜拜 回見 + """ + r_text_text = """ + 中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， + 回頭見 拜拜 回見 你怎么样 + """ + cache = {p_text: p_text_text, + r_text: r_text_text} + + assert ([round(i) for i in solve(zhwiki.cjk, cache=cache)] == + [4, 2, 7, 0, 4, 2, 1]) + + +def test_jawiki(): + p_text_text = """ + 敗戦後は桑原武夫の『第二芸術－現代俳句について』 + （1946年）によって、短詩型である俳句の限界が指摘された。 + """ + r_text_text = """ + 敗戦後は桑原武夫の『第二芸術－現代俳句について』 + （1946年）によって、短詩型である俳句の限界が指摘された。 + """ + cache = {p_text: p_text_text, + r_text: r_text_text} + + assert ([round(i) for i in solve(jawiki.cjk, cache=cache)] == + [4, 2, 7, 0, 4, 2, 1]) + + +def test_kowiki(): + p_text_text = """ + 국어사 자료에서 ‘김치’가 소급하는 최초의 형태는 + 16세기의 ‘딤치’이다. + """ + r_text_text = """ + 국어사 자료에서 ‘김치’가 소급하는 최초의 형태는 + 16세기의 ‘딤치’이다. + """ + cache = {p_text: p_text_text, + r_text: r_text_text} + + assert ([round(i) for i in solve(kowiki.cjk, cache=cache)] == + [4, 2, 7, 0, 4, 2, 1]) diff --git a/editquality/feature_lists/tests/test_zhwiki.py b/editquality/feature_lists/tests/test_zhwiki.py deleted file mode 100644 index cd900900..00000000 --- a/editquality/feature_lists/tests/test_zhwiki.py +++ /dev/null @@ -1,26 +0,0 @@ -from revscoring.dependencies import solve -from revscoring.datasources import revision_oriented -from .. import zhwiki - - -p_text_text = """ -中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， -回頭見 拜拜 回見 -""" - -r_text_text = """ -中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， -回頭見 拜拜 回見 你怎么样 -""" - -r_text = revision_oriented.revision.text -p_text = revision_oriented.revision.parent.text - - -cache = {p_text: p_text_text, - r_text: r_text_text} - - -def test_zhwiki(): - assert ([round(i) for i in solve(zhwiki.cjk, cache=cache)] == - [4, 2, 7, 0, 4, 2, 1]) diff --git a/editquality/feature_lists/wikitext.py b/editquality/feature_lists/wikitext.py index 27f772ff..42776a89 100644 --- a/editquality/feature_lists/wikitext.py +++ b/editquality/feature_lists/wikitext.py @@ -38,10 +38,10 @@ def _process_new_longest(p_longest, r_longest): log(wikitext.revision.parent.cjk.cjks + 1), div(wikitext.revision.parent.cjk_chars, max(wikitext.revision.parent.cjk.cjks, 1), - name="revision.parent.cjkchars_per_cjkwordthing"), + name="revision.parent.cjk.cjkchars_per_cjkwordthing"), div(wikitext.revision.parent.cjk.cjks, max(wikitext.revision.parent.cjk.tokens, 1), - name="revision.parent.cjkwordthings_per_token"), + name="revision.parent.cjk.cjkwordthings_per_token"), ] diff = [ @@ -109,8 +109,8 @@ def _process_new_longest(p_longest, r_longest): name="revision.diff.cjkchars_change"), sub(wikitext.revision.cjk.tokens, wikitext.revision.parent.cjk.tokens, - name="revision.diff.tokens_change_inc_cjktokens"), + name="revision.diff.cjk.tokens_change_inc_cjktokens"), sub(wikitext.revision.cjk.cjks, wikitext.revision.parent.cjk.cjks, - name="revision.diff.cjkwordthings_change"), + name="revision.diff.cjk.cjkwordthings_change"), ] diff --git a/editquality/feature_lists/zhwiki.py b/editquality/feature_lists/zhwiki.py index 79d23bd0..5726b820 100644 --- a/editquality/feature_lists/zhwiki.py +++ b/editquality/feature_lists/zhwiki.py @@ -27,15 +27,14 @@ chinese.words_to_watch.revision.diff.match_prop_delta_increase, chinese.words_to_watch.revision.diff.match_prop_delta_decrease ] + damaging = wikipedia.page + \ wikitext.parent + wikitext.diff + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + words_to_watch + \ - enwiki.badwords + enwiki.informals + enwiki.badwords + enwiki.informals + \ + wikitext.parent_cjk + wikitext.diff_cjk "Damaging Features" -cjk = wikitext.parent_cjk + wikitext.diff_cjk -"CJK features" - reverted = damaging goodfaith = damaging diff --git a/requirements.txt b/requirements.txt index 03f35358..963e34ff 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,7 +6,7 @@ mwapi >= 0.5.1, < 0.5.999 mwtypes >= 0.3.0, < 0.3.999 mwreverts >= 0.1.0, < 0.1.999 mwxml >= 0.3.3 -revscoring >= 2.8.2, < 2.8.999 +revscoring >= 2.9.2, < 2.9.999 statistics >= 1.0.3, < 1.0.999 tqdm >= 4.15.0, < 4.15.999 mysqltsv >= 0.0.7, < 0.0.999 From f4ffad4e3fb57cf3702fe46659659d322e171f4a Mon Sep 17 00:00:00 2001 From: Pavol Mulinka Date: Tue, 12 Jan 2021 22:51:13 +0100 Subject: [PATCH 04/10] updated tests --- .gitignore | 2 ++ .../feature_lists/tests/test_cjk_wiki.py | 30 ++++++++++++------- requirements.txt | 2 +- 3 files changed, 22 insertions(+), 12 deletions(-) diff --git a/.gitignore b/.gitignore index 5bc8ee6e..1d18e54b 100644 --- a/.gitignore +++ b/.gitignore @@ -13,6 +13,8 @@ ipython/.ipynb_checkpoints/ # Temporary text editor files *~ .*.sw? +.ipynb_checkpoints/ +.vscode/ # C extensions *.so diff --git a/editquality/feature_lists/tests/test_cjk_wiki.py b/editquality/feature_lists/tests/test_cjk_wiki.py index d52529fe..e0bac7e6 100644 --- a/editquality/feature_lists/tests/test_cjk_wiki.py +++ b/editquality/feature_lists/tests/test_cjk_wiki.py @@ -15,14 +15,17 @@ def test_zhwiki(): 回頭見 拜拜 回見 """ r_text_text = """ - 中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， - 回頭見 拜拜 回見 你怎么样 + 中國中國是位於亞歐大陸的國家或地理區域。此名稱最早见于西周， + 回頭見 拜拜 回見 """ cache = {p_text: p_text_text, r_text: r_text_text} - assert ([round(i) for i in solve(zhwiki.cjk, cache=cache)] == - [4, 2, 7, 0, 4, 2, 1]) + assert (list(solve(zhwiki.wikitext.diff_cjk, cache=cache)) == + [2, 1.0, 1.0]) + assert ([round(i) for i in solve(zhwiki.wikitext + .parent_cjk, cache=cache)] == + [4, 3, 2, 1]) def test_jawiki(): @@ -32,13 +35,15 @@ def test_jawiki(): """ r_text_text = """ 敗戦後は桑原武夫の『第二芸術－現代俳句について』 - （1946年）によって、短詩型である俳句の限界が指摘された。 + （1946年）によって、短詩型である俳句の限界が指摘された た。 """ cache = {p_text: p_text_text, r_text: r_text_text} - - assert ([round(i) for i in solve(jawiki.cjk, cache=cache)] == - [4, 2, 7, 0, 4, 2, 1]) + assert (list(solve(jawiki.wikitext.diff_cjk, cache=cache)) == + [1, 2.0, 1.0]) + assert ([round(i) for i in solve(jawiki.wikitext + .parent_cjk, cache=cache)] == + [4, 3, 1, 1]) def test_kowiki(): @@ -48,10 +53,13 @@ def test_kowiki(): """ r_text_text = """ 국어사 자료에서 ‘김치’가 소급하는 최초의 형태는 - 16세기의 ‘딤치’이다. + 16세기의 ‘딤치’이다 다. """ cache = {p_text: p_text_text, r_text: r_text_text} - assert ([round(i) for i in solve(kowiki.cjk, cache=cache)] == - [4, 2, 7, 0, 4, 2, 1]) + assert (list(solve(kowiki.wikitext.diff_cjk, cache=cache)) == + [1, 2.0, 1.0]) + assert ([round(i) for i in solve(kowiki.wikitext + .parent_cjk, cache=cache)] == + [3, 3, 2, 1]) diff --git a/requirements.txt b/requirements.txt index 963e34ff..f586f744 100644 --- a/requirements.txt +++ b/requirements.txt @@ -6,7 +6,7 @@ mwapi >= 0.5.1, < 0.5.999 mwtypes >= 0.3.0, < 0.3.999 mwreverts >= 0.1.0, < 0.1.999 mwxml >= 0.3.3 -revscoring >= 2.9.2, < 2.9.999 +revscoring >= 2.9.3, < 2.9.999 statistics >= 1.0.3, < 1.0.999 tqdm >= 4.15.0, < 4.15.999 mysqltsv >= 0.0.7, < 0.0.999 From 0c788dae17f4150626667ab3711a728f83356edd Mon Sep 17 00:00:00 2001 From: Pavol Mulinka Date: Thu, 14 Jan 2021 10:54:53 +0100 Subject: [PATCH 05/10] update --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 1d18e54b..b7f1bca2 100644 --- a/.gitignore +++ b/.gitignore @@ -15,6 +15,7 @@ ipython/.ipynb_checkpoints/ .*.sw? .ipynb_checkpoints/ .vscode/ +*.ipynb # C extensions *.so From aa628903e953aa30d68f52f91b2a0f3490577a6a Mon Sep 17 00:00:00 2001 From: Pavol Mulinka Date: Thu, 14 Jan 2021 17:49:17 +0100 Subject: [PATCH 06/10] updated test-requirements --- test-requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test-requirements.txt b/test-requirements.txt index a8cc3ed4..3a67d0e7 100644 --- a/test-requirements.txt +++ b/test-requirements.txt @@ -1,4 +1,4 @@ -pytest == 4.1 +pytest codecov -pytest-cov == 2.9 +pytest-cov flake8 >= 3.8.1, < 3.8.999 From c7ec75e4531dc3b217364d32f528af4875ba3508 Mon Sep 17 00:00:00 2001 From: Pavol86 Date: Tue, 26 Jan 2021 20:32:36 +0000 Subject: [PATCH 07/10] model_info added --- Makefile | 1 + model_info/arwiki.damaging.md | 72 +++++++++--------- model_info/arwiki.goodfaith.md | 66 ++++++++--------- model_info/bnwiki.reverted.md | 58 +++++++-------- model_info/bswiki.damaging.md | 68 ++++++++--------- model_info/bswiki.goodfaith.md | 66 ++++++++--------- model_info/cawiki.damaging.md | 58 +++++++-------- model_info/cawiki.goodfaith.md | 60 +++++++-------- model_info/cswiki.damaging.md | 70 +++++++++--------- model_info/cswiki.goodfaith.md | 66 ++++++++--------- model_info/dewiki.damaging.md | 70 +++++++++--------- model_info/dewiki.goodfaith.md | 60 +++++++-------- model_info/elwiki.reverted.md | 64 ++++++++-------- model_info/enwiki.damaging.md | 44 +++++------ model_info/enwiki.goodfaith.md | 54 +++++++------- model_info/enwiktionary.reverted.md | 58 +++++++-------- model_info/eswiki.damaging.md | 68 ++++++++--------- model_info/eswiki.goodfaith.md | 68 ++++++++--------- model_info/eswikibooks.damaging.md | 70 +++++++++--------- model_info/eswikibooks.goodfaith.md | 66 ++++++++--------- model_info/eswikiquote.damaging.md | 66 ++++++++--------- model_info/eswikiquote.goodfaith.md | 70 +++++++++--------- model_info/etwiki.damaging.md | 68 ++++++++--------- model_info/etwiki.goodfaith.md | 28 +++---- model_info/fawiki.damaging.md | 70 +++++++++--------- model_info/fawiki.goodfaith.md | 62 ++++++++-------- model_info/frwiki.damaging.md | 60 +++++++-------- model_info/frwiki.goodfaith.md | 72 +++++++++--------- model_info/glwiki.reverted.md | 74 +++++++++---------- model_info/hewiki.damaging.md | 58 +++++++-------- model_info/hewiki.goodfaith.md | 62 ++++++++-------- model_info/hrwiki.reverted.md | 70 +++++++++--------- model_info/huwiki.damaging.md | 60 +++++++-------- model_info/huwiki.goodfaith.md | 62 ++++++++-------- model_info/idwiki.reverted.md | 72 +++++++++--------- model_info/iswiki.reverted.md | 72 +++++++++--------- model_info/itwiki.damaging.md | 70 +++++++++--------- model_info/itwiki.goodfaith.md | 56 +++++++------- model_info/jawiki.damaging.md | 70 +++++++++--------- model_info/jawiki.goodfaith.md | 64 ++++++++-------- model_info/kowiki.damaging.md | 72 +++++++++--------- model_info/kowiki.goodfaith.md | 70 +++++++++--------- model_info/lvwiki.damaging.md | 46 ++++++------ model_info/lvwiki.goodfaith.md | 58 +++++++-------- model_info/nlwiki.damaging.md | 70 +++++++++--------- model_info/nlwiki.goodfaith.md | 62 ++++++++-------- model_info/nowiki.damaging.md | 52 ++++++------- model_info/nowiki.goodfaith.md | 66 ++++++++--------- model_info/ptwiki.damaging.md | 68 ++++++++--------- model_info/ptwiki.goodfaith.md | 62 ++++++++-------- model_info/rowiki.damaging.md | 60 +++++++-------- model_info/rowiki.goodfaith.md | 62 ++++++++-------- model_info/ruwiki.damaging.md | 70 +++++++++--------- model_info/ruwiki.goodfaith.md | 70 +++++++++--------- model_info/sqwiki.damaging.md | 66 ++++++++--------- model_info/sqwiki.goodfaith.md | 70 +++++++++--------- model_info/srwiki.damaging.md | 64 ++++++++-------- model_info/srwiki.goodfaith.md | 58 +++++++-------- model_info/svwiki.damaging.md | 72 +++++++++--------- model_info/svwiki.goodfaith.md | 68 ++++++++--------- model_info/tawiki.reverted.md | 66 ++++++++--------- model_info/trwiki.damaging.md | 46 ++++++------ model_info/trwiki.goodfaith.md | 68 ++++++++--------- model_info/ukwiki.damaging.md | 66 ++++++++--------- model_info/ukwiki.goodfaith.md | 70 +++++++++--------- model_info/viwiki.reverted.md | 52 ++++++------- model_info/zhwiki.damaging.md | 70 +++++++++--------- model_info/zhwiki.goodfaith.md | 70 +++++++++--------- .../arwiki.damaging.gradient_boosting.model | 4 +- .../arwiki.goodfaith.gradient_boosting.model | 4 +- .../bnwiki.reverted.gradient_boosting.model | 4 +- models/bswiki.damaging.rf.model | 4 +- .../bswiki.goodfaith.gradient_boosting.model | 4 +- .../cawiki.damaging.gradient_boosting.model | 4 +- .../cawiki.goodfaith.gradient_boosting.model | 4 +- .../cswiki.damaging.gradient_boosting.model | 4 +- .../cswiki.goodfaith.gradient_boosting.model | 4 +- .../dewiki.damaging.gradient_boosting.model | 4 +- .../dewiki.goodfaith.gradient_boosting.model | 4 +- .../elwiki.reverted.gradient_boosting.model | 4 +- .../enwiki.damaging.gradient_boosting.model | 4 +- .../enwiki.goodfaith.gradient_boosting.model | 4 +- models/enwiktionary.reverted.rf.model | 4 +- .../eswiki.damaging.gradient_boosting.model | 4 +- .../eswiki.goodfaith.gradient_boosting.model | 4 +- ...wikibooks.damaging.gradient_boosting.model | 4 +- ...ikibooks.goodfaith.gradient_boosting.model | 4 +- ...wikiquote.damaging.gradient_boosting.model | 4 +- ...ikiquote.goodfaith.gradient_boosting.model | 4 +- .../etwiki.damaging.gradient_boosting.model | 4 +- .../etwiki.goodfaith.gradient_boosting.model | 4 +- .../fawiki.damaging.gradient_boosting.model | 4 +- .../fawiki.goodfaith.gradient_boosting.model | 4 +- .../fiwiki.damaging.gradient_boosting.model | 4 +- .../fiwiki.goodfaith.gradient_boosting.model | 4 +- .../frwiki.damaging.gradient_boosting.model | 4 +- .../frwiki.goodfaith.gradient_boosting.model | 4 +- .../glwiki.reverted.gradient_boosting.model | 4 +- models/hewiki.damaging.rf.model | 4 +- .../hewiki.goodfaith.gradient_boosting.model | 4 +- .../hrwiki.reverted.gradient_boosting.model | 4 +- .../huwiki.damaging.gradient_boosting.model | 4 +- .../huwiki.goodfaith.gradient_boosting.model | 4 +- .../idwiki.reverted.gradient_boosting.model | 4 +- .../iswiki.reverted.gradient_boosting.model | 4 +- .../itwiki.damaging.gradient_boosting.model | 4 +- .../itwiki.goodfaith.gradient_boosting.model | 4 +- .../jawiki.damaging.gradient_boosting.model | 4 +- .../jawiki.goodfaith.gradient_boosting.model | 4 +- .../kowiki.damaging.gradient_boosting.model | 4 +- .../kowiki.goodfaith.gradient_boosting.model | 4 +- .../lvwiki.damaging.gradient_boosting.model | 4 +- .../lvwiki.goodfaith.gradient_boosting.model | 4 +- .../nlwiki.damaging.gradient_boosting.model | 4 +- .../nlwiki.goodfaith.gradient_boosting.model | 4 +- .../nowiki.damaging.gradient_boosting.model | 4 +- .../nowiki.goodfaith.gradient_boosting.model | 4 +- .../plwiki.damaging.gradient_boosting.model | 4 +- models/plwiki.goodfaith.rf.model | 4 +- .../ptwiki.damaging.gradient_boosting.model | 4 +- .../ptwiki.goodfaith.gradient_boosting.model | 4 +- .../rowiki.damaging.gradient_boosting.model | 4 +- .../rowiki.goodfaith.gradient_boosting.model | 4 +- .../ruwiki.damaging.gradient_boosting.model | 4 +- .../ruwiki.goodfaith.gradient_boosting.model | 4 +- .../sqwiki.damaging.gradient_boosting.model | 4 +- .../sqwiki.goodfaith.gradient_boosting.model | 4 +- .../srwiki.damaging.gradient_boosting.model | 4 +- .../srwiki.goodfaith.gradient_boosting.model | 4 +- .../svwiki.damaging.gradient_boosting.model | 4 +- .../svwiki.goodfaith.gradient_boosting.model | 4 +- .../tawiki.reverted.gradient_boosting.model | 4 +- .../trwiki.damaging.gradient_boosting.model | 4 +- .../trwiki.goodfaith.gradient_boosting.model | 4 +- .../ukwiki.damaging.gradient_boosting.model | 4 +- .../ukwiki.goodfaith.gradient_boosting.model | 4 +- .../viwiki.reverted.gradient_boosting.model | 4 +- ...idatawiki.damaging.gradient_boosting.model | 4 +- ...datawiki.goodfaith.gradient_boosting.model | 4 +- .../zhwiki.damaging.gradient_boosting.model | 4 +- .../zhwiki.goodfaith.gradient_boosting.model | 4 +- 141 files changed, 2290 insertions(+), 2289 deletions(-) diff --git a/Makefile b/Makefile index 04e29c33..077b8332 100644 --- a/Makefile +++ b/Makefile @@ -4119,3 +4119,4 @@ zhwiki_tuning_reports: \ tuning_reports/zhwiki.goodfaith.md + diff --git a/model_info/arwiki.damaging.md b/model_info/arwiki.damaging.md index 7cf3c86d..c25bd056 100644 --- a/model_info/arwiki.damaging.md +++ b/model_info/arwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'labels': [True, False], 'learning_rate': 0.01, 'warm_start': False, 'n_iter_no_change': None, 'init': None, 'multilabel': False, 'ccp_alpha': 0.0, 'min_samples_leaf': 1, 'min_samples_split': 2, 'center': True, 'n_estimators': 100, 'population_rates': None, 'max_depth': 3, 'verbose': 0, 'min_impurity_decrease': 0.0, 'subsample': 1.0, 'max_features': 'log2', 'scale': True, 'label_weights': OrderedDict([(True, 10)]), 'loss': 'deviance', 'tol': 0.0001, 'criterion': 'friedman_mse', 'min_impurity_split': None, 'presort': 'deprecated', 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'random_state': None} + - params: {'presort': 'deprecated', 'warm_start': False, 'validation_fraction': 0.1, 'max_depth': 3, 'max_features': 'log2', 'n_estimators': 100, 'multilabel': False, 'label_weights': OrderedDict([(True, 10)]), 'scale': True, 'loss': 'deviance', 'verbose': 0, 'min_samples_leaf': 1, 'center': True, 'learning_rate': 0.01, 'random_state': None, 'min_samples_split': 2, 'labels': [True, False], 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'min_weight_fraction_leaf': 0.0, 'min_impurity_split': None, 'n_iter_no_change': None, 'init': None, 'tol': 0.0001, 'ccp_alpha': 0.0, 'population_rates': None, 'criterion': 'friedman_mse', 'subsample': 1.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18479): + counts (n=18214): label n ~True ~False ------- ----- --- ------- -------- - True 339 --> 1 338 - False 18140 --> 2 18138 + True 338 --> 0 338 + False 17876 --> 0 17876 rates: True False ---------- ------ ------- - sample 0.018 0.982 + sample 0.019 0.981 population 0.021 0.979 - match_rate (micro=0.978, macro=0.5): + match_rate (micro=0.979, macro=0.5): True False ------ ------- 0 1 - filter_rate (micro=0.022, macro=0.5): + filter_rate (micro=0.021, macro=0.5): True False ------ ------- 1 0 - recall (micro=0.979, macro=0.501): + recall (micro=0.979, macro=0.5): True False ------ ------- - 0.003 1 - !recall (micro=0.024, macro=0.501): + 0 1 + !recall (micro=0.021, macro=0.5): True False ------ ------- - 1 0.003 - precision (micro=0.966, macro=0.674): - True False + 1 0 + precision (micro=None, macro=None): + True False ------ ------- - 0.369 0.979 - !precision (micro=0.382, macro=0.674): - True False + 0.979 + !precision (micro=None, macro=None): + True False ------ ------- - 0.979 0.369 - f1 (micro=0.968, macro=0.497): - True False + 0.979 + f1 (micro=None, macro=None): + True False ------ ------- - 0.006 0.989 - !f1 (micro=0.027, macro=0.497): - True False + 0.989 + !f1 (micro=None, macro=None): + True False ------ ------- - 0.989 0.006 + 0.989 accuracy (micro=0.979, macro=0.979): True False ------ ------- 0.979 0.979 - fpr (micro=0.976, macro=0.499): + fpr (micro=0.979, macro=0.5): True False ------ ------- - 0 0.997 - roc_auc (micro=0.936, macro=0.936): + 0 1 + roc_auc (micro=0.938, macro=0.938): True False ------ ------- - 0.937 0.936 - pr_auc (micro=0.982, macro=0.616): + 0.938 0.938 + pr_auc (micro=0.983, macro=0.635): True False ------ ------- - 0.234 0.998 + 0.272 0.998 - - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} diff --git a/model_info/arwiki.goodfaith.md b/model_info/arwiki.goodfaith.md index dd8cf729..3ee28f8d 100644 --- a/model_info/arwiki.goodfaith.md +++ b/model_info/arwiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'ccp_alpha': 0.0, 'max_features': 'log2', 'learning_rate': 0.5, 'n_estimators': 300, 'min_impurity_decrease': 0.0, 'scale': True, 'loss': 'deviance', 'subsample': 1.0, 'min_samples_leaf': 1, 'validation_fraction': 0.1, 'labels': [True, False], 'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'min_impurity_split': None, 'max_depth': 7, 'min_samples_split': 2, 'criterion': 'friedman_mse', 'presort': 'deprecated', 'population_rates': None, 'label_weights': OrderedDict([(False, 10)]), 'random_state': None, 'center': True, 'n_iter_no_change': None, 'multilabel': False, 'warm_start': False, 'tol': 0.0001, 'init': None, 'max_leaf_nodes': None} + - params: {'min_samples_split': 2, 'min_impurity_split': None, 'init': None, 'n_estimators': 300, 'tol': 0.0001, 'label_weights': OrderedDict([(False, 10)]), 'center': True, 'max_depth': 7, 'scale': True, 'validation_fraction': 0.1, 'verbose': 0, 'random_state': None, 'ccp_alpha': 0.0, 'loss': 'deviance', 'criterion': 'friedman_mse', 'labels': [True, False], 'max_leaf_nodes': None, 'population_rates': None, 'learning_rate': 0.5, 'min_weight_fraction_leaf': 0.0, 'min_samples_leaf': 1, 'min_impurity_decrease': 0.0, 'warm_start': False, 'max_features': 'log2', 'multilabel': False, 'subsample': 1.0, 'n_iter_no_change': None, 'presort': 'deprecated'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18479): + counts (n=18214): label n ~True ~False ------- ----- --- ------- -------- - True 18392 --> 18366 26 - False 87 --> 86 1 + True 18127 --> 18101 26 + False 87 --> 87 0 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.001 0.999 - recall (micro=0.993, macro=0.505): + recall (micro=0.992, macro=0.499): True False ------ ------- - 0.999 0.011 - !recall (micro=0.018, macro=0.505): + 0.999 0 + !recall (micro=0.006, macro=0.499): True False ------ ------- - 0.011 0.999 - precision (micro=0.988, macro=0.521): + 0 0.999 + precision (micro=0.988, macro=0.497): True False ------ ------- - 0.994 0.048 - !precision (micro=0.054, macro=0.521): + 0.994 0 + !precision (micro=0.006, macro=0.497): True False ------ ------- - 0.048 0.994 - f1 (micro=0.99, macro=0.507): - True False + 0 0.994 + f1 (micro=None, macro=None): + True False ------ ------- - 0.996 0.019 - !f1 (micro=0.025, macro=0.507): - True False + 0.996 + !f1 (micro=None, macro=None): + True False ------ ------- - 0.019 0.996 - accuracy (micro=0.993, macro=0.993): + 0.996 + accuracy (micro=0.992, macro=0.992): True False ------ ------- - 0.993 0.993 - fpr (micro=0.982, macro=0.495): + 0.992 0.992 + fpr (micro=0.994, macro=0.501): True False ------ ------- - 0.989 0.001 - roc_auc (micro=0.979, macro=0.804): + 1 0.001 + roc_auc (micro=0.979, macro=0.802): True False ------ ------- - 0.981 0.627 - pr_auc (micro=0.99, macro=0.522): + 0.982 0.622 + pr_auc (micro=0.99, macro=0.521): True False ------ ------- - 0.995 0.049 + 0.995 0.046 - - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} diff --git a/model_info/bnwiki.reverted.md b/model_info/bnwiki.reverted.md index 748389a1..5275ae19 100644 --- a/model_info/bnwiki.reverted.md +++ b/model_info/bnwiki.reverted.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'scale': True, 'warm_start': False, 'random_state': None, 'loss': 'deviance', 'min_impurity_split': None, 'ccp_alpha': 0.0, 'center': True, 'min_weight_fraction_leaf': 0.0, 'subsample': 1.0, 'learning_rate': 0.01, 'min_samples_split': 2, 'labels': [True, False], 'population_rates': None, 'n_iter_no_change': None, 'n_estimators': 500, 'multilabel': False, 'max_depth': 7, 'label_weights': OrderedDict([(True, 10)]), 'max_features': 'log2', 'presort': 'deprecated', 'max_leaf_nodes': None, 'criterion': 'friedman_mse', 'init': None, 'min_impurity_decrease': 0.0, 'min_samples_leaf': 1, 'tol': 0.0001, 'validation_fraction': 0.1, 'verbose': 0} + - params: {'presort': 'deprecated', 'labels': [True, False], 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None, 'verbose': 0, 'min_samples_split': 2, 'n_estimators': 500, 'warm_start': False, 'loss': 'deviance', 'max_features': 'log2', 'label_weights': OrderedDict([(True, 10)]), 'subsample': 1.0, 'min_samples_leaf': 1, 'tol': 0.0001, 'scale': True, 'n_iter_no_change': None, 'multilabel': False, 'center': True, 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.01, 'criterion': 'friedman_mse', 'random_state': None, 'min_impurity_split': None, 'validation_fraction': 0.1, 'max_depth': 7, 'population_rates': None, 'init': None, 'ccp_alpha': 0.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19523): + counts (n=19468): label n ~True ~False ------- ----- --- ------- -------- - True 378 --> 131 247 - False 19145 --> 330 18815 + True 379 --> 132 247 + False 19089 --> 322 18767 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.976 0.024 - recall (micro=0.969, macro=0.665): + recall (micro=0.969, macro=0.666): True False ------ ------- - 0.347 0.983 - !recall (micro=0.36, macro=0.665): + 0.348 0.983 + !recall (micro=0.362, macro=0.666): True False ------ ------- - 0.983 0.347 - precision (micro=0.971, macro=0.646): + 0.983 0.348 + precision (micro=0.971, macro=0.649): True False ------ ------- - 0.307 0.986 - !precision (micro=0.322, macro=0.646): + 0.313 0.986 + !precision (micro=0.327, macro=0.649): True False ------ ------- - 0.986 0.307 - f1 (micro=0.97, macro=0.655): + 0.986 0.313 + f1 (micro=0.97, macro=0.657): True False ------ ------- - 0.326 0.984 - !f1 (micro=0.34, macro=0.655): + 0.33 0.984 + !f1 (micro=0.344, macro=0.657): True False ------ ------- - 0.984 0.326 + 0.984 0.33 accuracy (micro=0.969, macro=0.969): True False ------ ------- 0.969 0.969 - fpr (micro=0.64, macro=0.335): + fpr (micro=0.638, macro=0.334): True False ------ ------- - 0.017 0.653 - roc_auc (micro=0.924, macro=0.924): + 0.017 0.652 + roc_auc (micro=0.919, macro=0.919): True False ------ ------- - 0.924 0.925 - pr_auc (micro=0.982, macro=0.633): + 0.919 0.919 + pr_auc (micro=0.982, macro=0.623): True False ------ ------- - 0.268 0.998 + 0.248 0.998 - - score_schema: {'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} diff --git a/model_info/bswiki.damaging.md b/model_info/bswiki.damaging.md index 86aa69dd..84654caa 100644 --- a/model_info/bswiki.damaging.md +++ b/model_info/bswiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: RandomForest - version: 0.5.0 - - params: {'bootstrap': True, 'scale': True, 'class_weight': None, 'max_samples': None, 'max_depth': None, 'warm_start': False, 'n_estimators': 320, 'criterion': 'entropy', 'max_features': 'log2', 'min_samples_leaf': 7, 'min_samples_split': 2, 'population_rates': None, 'multilabel': False, 'max_leaf_nodes': None, 'ccp_alpha': 0.0, 'min_impurity_decrease': 0.0, 'center': True, 'verbose': 0, 'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'n_jobs': None, 'oob_score': False, 'min_impurity_split': None, 'random_state': None, 'labels': [True, False]} + - params: {'multilabel': False, 'min_samples_leaf': 7, 'center': True, 'ccp_alpha': 0.0, 'n_jobs': None, 'labels': [True, False], 'min_samples_split': 2, 'warm_start': False, 'max_features': 'log2', 'max_leaf_nodes': None, 'criterion': 'entropy', 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'scale': True, 'class_weight': None, 'n_estimators': 320, 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None, 'min_impurity_split': None, 'oob_score': False, 'bootstrap': True, 'max_samples': None, 'max_depth': None, 'min_impurity_decrease': 0.0, 'verbose': 0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=35058): + counts (n=34914): label n ~True ~False ------- ----- --- ------- -------- - True 1103 --> 463 640 - False 33955 --> 139 33816 + True 1101 --> 484 617 + False 33813 --> 151 33662 rates: True False ---------- ------ ------- - sample 0.031 0.969 + sample 0.032 0.968 population 0.028 0.972 - match_rate (micro=0.957, macro=0.5): + match_rate (micro=0.956, macro=0.5): True False ------ ------- - 0.016 0.984 - filter_rate (micro=0.043, macro=0.5): + 0.017 0.983 + filter_rate (micro=0.044, macro=0.5): True False ------ ------- - 0.984 0.016 - recall (micro=0.98, macro=0.708): + 0.983 0.017 + recall (micro=0.98, macro=0.718): True False ------ ------- - 0.42 0.996 - !recall (micro=0.436, macro=0.708): + 0.44 0.996 + !recall (micro=0.455, macro=0.718): True False ------ ------- - 0.996 0.42 - precision (micro=0.977, macro=0.866): + 0.996 0.44 + precision (micro=0.977, macro=0.862): True False ------ ------- - 0.748 0.983 - !precision (micro=0.754, macro=0.866): + 0.74 0.984 + !precision (micro=0.747, macro=0.862): True False ------ ------- - 0.983 0.748 - f1 (micro=0.977, macro=0.764): + 0.984 0.74 + f1 (micro=0.977, macro=0.771): True False ------ ------- - 0.538 0.99 - !f1 (micro=0.55, macro=0.764): + 0.552 0.99 + !f1 (micro=0.564, macro=0.771): True False ------ ------- - 0.99 0.538 + 0.99 0.552 accuracy (micro=0.98, macro=0.98): True False ------ ------- 0.98 0.98 - fpr (micro=0.564, macro=0.292): + fpr (micro=0.545, macro=0.282): True False ------ ------- - 0.004 0.58 - roc_auc (micro=0.981, macro=0.98): + 0.004 0.56 + roc_auc (micro=0.979, macro=0.979): True False ------ ------- - 0.979 0.981 - pr_auc (micro=0.99, macro=0.832): + 0.979 0.979 + pr_auc (micro=0.99, macro=0.83): True False ------ ------- - 0.664 0.999 + 0.66 0.999 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} diff --git a/model_info/bswiki.goodfaith.md b/model_info/bswiki.goodfaith.md index 02e6e65b..1a242352 100644 --- a/model_info/bswiki.goodfaith.md +++ b/model_info/bswiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_samples_split': 2, 'warm_start': False, 'presort': 'deprecated', 'scale': True, 'population_rates': None, 'validation_fraction': 0.1, 'max_depth': 7, 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'multilabel': False, 'n_estimators': 700, 'center': True, 'loss': 'deviance', 'max_leaf_nodes': None, 'tol': 0.0001, 'n_iter_no_change': None, 'criterion': 'friedman_mse', 'ccp_alpha': 0.0, 'random_state': None, 'min_weight_fraction_leaf': 0.0, 'max_features': 'log2', 'verbose': 0, 'labels': [True, False], 'label_weights': OrderedDict([(False, 10)]), 'min_samples_leaf': 1, 'learning_rate': 0.5, 'init': None} + - params: {'multilabel': False, 'warm_start': False, 'labels': [True, False], 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'learning_rate': 0.5, 'tol': 0.0001, 'validation_fraction': 0.1, 'center': True, 'min_impurity_split': None, 'min_weight_fraction_leaf': 0.0, 'n_estimators': 700, 'criterion': 'friedman_mse', 'label_weights': OrderedDict([(False, 10)]), 'verbose': 0, 'max_depth': 7, 'min_samples_split': 2, 'random_state': None, 'init': None, 'max_leaf_nodes': None, 'scale': True, 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'min_samples_leaf': 1, 'population_rates': None, 'loss': 'deviance', 'presort': 'deprecated', 'max_features': 'log2'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=35058): + counts (n=34914): label n ~True ~False ------- ----- --- ------- -------- - True 34172 --> 33893 279 - False 886 --> 383 503 + True 34030 --> 33752 278 + False 884 --> 372 512 rates: True False ---------- ------ ------- sample 0.975 0.025 population 0.977 0.023 - match_rate (micro=0.958, macro=0.5): + match_rate (micro=0.957, macro=0.5): True False ------ ------- 0.979 0.021 - filter_rate (micro=0.042, macro=0.5): + filter_rate (micro=0.043, macro=0.5): True False ------ ------- 0.021 0.979 - recall (micro=0.982, macro=0.78): + recall (micro=0.983, macro=0.786): True False ------ ------- - 0.992 0.568 - !recall (micro=0.577, macro=0.78): + 0.992 0.579 + !recall (micro=0.588, macro=0.786): True False ------ ------- - 0.568 0.992 - precision (micro=0.982, macro=0.803): + 0.579 0.992 + precision (micro=0.982, macro=0.805): True False ------ ------- - 0.99 0.616 - !precision (micro=0.624, macro=0.803): + 0.99 0.62 + !precision (micro=0.628, macro=0.805): True False ------ ------- - 0.616 0.99 - f1 (micro=0.982, macro=0.791): + 0.62 0.99 + f1 (micro=0.982, macro=0.795): True False ------ ------- - 0.991 0.591 - !f1 (micro=0.6, macro=0.791): + 0.991 0.599 + !f1 (micro=0.608, macro=0.795): True False ------ ------- - 0.591 0.991 - accuracy (micro=0.982, macro=0.982): + 0.599 0.991 + accuracy (micro=0.983, macro=0.983): True False ------ ------- - 0.982 0.982 - fpr (micro=0.423, macro=0.22): + 0.983 0.983 + fpr (micro=0.412, macro=0.214): True False ------ ------- - 0.432 0.008 - roc_auc (micro=0.988, macro=0.948): + 0.421 0.008 + roc_auc (micro=0.989, macro=0.95): True False ------ ------- - 0.99 0.905 - pr_auc (micro=0.986, macro=0.79): + 0.991 0.91 + pr_auc (micro=0.987, macro=0.799): True False ------ ------- - 0.996 0.584 + 0.996 0.601 - - score_schema: {'type': 'object', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object'} diff --git a/model_info/cawiki.damaging.md b/model_info/cawiki.damaging.md index bd07dbe1..2c0909cb 100644 --- a/model_info/cawiki.damaging.md +++ b/model_info/cawiki.damaging.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'init': None, 'max_leaf_nodes': None, 'max_features': 'log2', 'min_impurity_split': None, 'subsample': 1.0, 'ccp_alpha': 0.0, 'loss': 'deviance', 'multilabel': False, 'population_rates': None, 'learning_rate': 0.01, 'criterion': 'friedman_mse', 'label_weights': OrderedDict([(True, 10)]), 'min_weight_fraction_leaf': 0.0, 'min_samples_split': 2, 'min_samples_leaf': 13, 'n_estimators': 700, 'max_depth': 7, 'scale': True, 'warm_start': False, 'min_impurity_decrease': 0.0, 'verbose': 0, 'n_iter_no_change': None, 'random_state': None, 'presort': 'deprecated', 'tol': 0.0001, 'center': True, 'validation_fraction': 0.1, 'labels': [True, False]} + - params: {'min_samples_split': 2, 'criterion': 'friedman_mse', 'warm_start': False, 'loss': 'deviance', 'population_rates': None, 'n_iter_no_change': None, 'subsample': 1.0, 'max_features': 'log2', 'random_state': None, 'center': True, 'verbose': 0, 'min_samples_leaf': 13, 'max_depth': 7, 'label_weights': OrderedDict([(True, 10)]), 'init': None, 'min_impurity_split': None, 'ccp_alpha': 0.0, 'scale': True, 'presort': 'deprecated', 'learning_rate': 0.01, 'multilabel': False, 'validation_fraction': 0.1, 'labels': [True, False], 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'n_estimators': 700, 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=39634): + counts (n=39608): label n ~True ~False ------- ----- --- ------- -------- - True 755 --> 578 177 - False 38879 --> 680 38199 + True 753 --> 571 182 + False 38855 --> 666 38189 rates: True False ---------- ------ ------- @@ -31,27 +31,27 @@ Model Information: match_rate (micro=0.951, macro=0.5): True False ------ ------- - 0.032 0.968 + 0.031 0.969 filter_rate (micro=0.049, macro=0.5): True False ------ ------- - 0.968 0.032 - recall (micro=0.978, macro=0.874): + 0.969 0.031 + recall (micro=0.979, macro=0.871): True False ------ ------- - 0.766 0.983 - !recall (micro=0.77, macro=0.874): + 0.758 0.983 + !recall (micro=0.763, macro=0.871): True False ------ ------- - 0.983 0.766 - precision (micro=0.985, macro=0.727): + 0.983 0.758 + precision (micro=0.985, macro=0.728): True False ------ ------- - 0.459 0.995 - !precision (micro=0.469, macro=0.727): + 0.461 0.995 + !precision (micro=0.472, macro=0.728): True False ------ ------- - 0.995 0.459 + 0.995 0.461 f1 (micro=0.981, macro=0.781): True False ------ ------- @@ -60,22 +60,22 @@ Model Information: True False ------ ------- 0.989 0.574 - accuracy (micro=0.978, macro=0.978): + accuracy (micro=0.979, macro=0.979): True False ------ ------- - 0.978 0.978 - fpr (micro=0.23, macro=0.126): + 0.979 0.979 + fpr (micro=0.237, macro=0.129): True False ------ ------- - 0.017 0.234 - roc_auc (micro=0.976, macro=0.977): + 0.017 0.242 + roc_auc (micro=0.977, macro=0.977): True False ------ ------- - 0.977 0.976 - pr_auc (micro=0.993, macro=0.84): + 0.977 0.977 + pr_auc (micro=0.993, macro=0.842): True False ------ ------- - 0.681 0.999 + 0.684 0.999 - - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} diff --git a/model_info/cawiki.goodfaith.md b/model_info/cawiki.goodfaith.md index 88feb9ab..03bbb552 100644 --- a/model_info/cawiki.goodfaith.md +++ b/model_info/cawiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'init': None, 'min_samples_leaf': 3, 'warm_start': False, 'max_depth': 5, 'verbose': 0, 'scale': True, 'center': True, 'loss': 'deviance', 'ccp_alpha': 0.0, 'max_leaf_nodes': None, 'max_features': 'log2', 'multilabel': False, 'learning_rate': 0.01, 'subsample': 1.0, 'validation_fraction': 0.1, 'criterion': 'friedman_mse', 'min_impurity_split': None, 'labels': [True, False], 'label_weights': OrderedDict([(False, 10)]), 'n_iter_no_change': None, 'random_state': None, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'population_rates': None, 'tol': 0.0001, 'min_samples_split': 2, 'presort': 'deprecated', 'n_estimators': 700} + - params: {'warm_start': False, 'min_impurity_decrease': 0.0, 'center': True, 'init': None, 'criterion': 'friedman_mse', 'scale': True, 'loss': 'deviance', 'learning_rate': 0.01, 'n_estimators': 700, 'max_leaf_nodes': None, 'min_impurity_split': None, 'multilabel': False, 'population_rates': None, 'tol': 0.0001, 'verbose': 0, 'label_weights': OrderedDict([(False, 10)]), 'ccp_alpha': 0.0, 'min_samples_split': 2, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'labels': [True, False], 'n_iter_no_change': None, 'min_samples_leaf': 3, 'random_state': None, 'max_features': 'log2', 'max_depth': 5, 'presort': 'deprecated', 'subsample': 1.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=39634): + counts (n=39608): label n ~True ~False ------- ----- --- ------- -------- - True 39058 --> 38423 635 - False 576 --> 99 477 + True 39033 --> 38410 623 + False 575 --> 93 482 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.028 0.972 - recall (micro=0.981, macro=0.906): + recall (micro=0.982, macro=0.911): True False ------ ------- - 0.984 0.828 - !recall (micro=0.83, macro=0.906): + 0.984 0.838 + !recall (micro=0.84, macro=0.911): True False ------ ------- - 0.828 0.984 - precision (micro=0.989, macro=0.713): + 0.838 0.984 + precision (micro=0.989, macro=0.717): True False ------ ------- - 0.997 0.428 - !precision (micro=0.437, macro=0.713): + 0.998 0.436 + !precision (micro=0.444, macro=0.717): True False ------ ------- - 0.428 0.997 - f1 (micro=0.984, macro=0.778): + 0.436 0.998 + f1 (micro=0.985, macro=0.782): True False ------ ------- - 0.991 0.565 - !f1 (micro=0.571, macro=0.778): + 0.991 0.574 + !f1 (micro=0.58, macro=0.782): True False ------ ------- - 0.565 0.991 - accuracy (micro=0.981, macro=0.981): + 0.574 0.991 + accuracy (micro=0.982, macro=0.982): True False ------ ------- - 0.981 0.981 - fpr (micro=0.17, macro=0.094): + 0.982 0.982 + fpr (micro=0.16, macro=0.089): True False ------ ------- - 0.172 0.016 - roc_auc (micro=0.985, macro=0.984): + 0.162 0.016 + roc_auc (micro=0.987, macro=0.986): True False ------ ------- - 0.985 0.983 - pr_auc (micro=0.996, macro=0.854): + 0.987 0.984 + pr_auc (micro=0.996, macro=0.856): True False ------ ------- - 1 0.709 + 1 0.713 - score_schema: {'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/cswiki.damaging.md b/model_info/cswiki.damaging.md index eb2548c9..62216b31 100644 --- a/model_info/cswiki.damaging.md +++ b/model_info/cswiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.6.0 - - params: {'ccp_alpha': 0.0, 'min_impurity_split': None, 'min_samples_split': 2, 'n_iter_no_change': None, 'labels': [True, False], 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'scale': True, 'multilabel': False, 'random_state': None, 'min_impurity_decrease': 0.0, 'population_rates': None, 'min_samples_leaf': 1, 'max_features': 'log2', 'label_weights': OrderedDict([(True, 10)]), 'warm_start': False, 'criterion': 'friedman_mse', 'subsample': 1.0, 'max_depth': 7, 'presort': 'deprecated', 'validation_fraction': 0.1, 'max_leaf_nodes': None, 'init': None, 'loss': 'deviance', 'learning_rate': 0.01, 'n_estimators': 500, 'center': True} + - params: {'validation_fraction': 0.1, 'presort': 'deprecated', 'labels': [True, False], 'n_iter_no_change': None, 'init': None, 'subsample': 1.0, 'verbose': 0, 'population_rates': None, 'ccp_alpha': 0.0, 'center': True, 'multilabel': False, 'label_weights': OrderedDict([(True, 10)]), 'scale': True, 'max_depth': 7, 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'criterion': 'friedman_mse', 'min_samples_split': 2, 'learning_rate': 0.01, 'min_samples_leaf': 1, 'min_impurity_decrease': 0.0, 'warm_start': False, 'loss': 'deviance', 'random_state': None, 'max_features': 'log2', 'n_estimators': 500, 'max_leaf_nodes': None, 'min_impurity_split': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=17799): + counts (n=17743): label n ~True ~False ------- ----- --- ------- -------- - True 451 --> 223 228 - False 17348 --> 388 16960 + True 450 --> 217 233 + False 17293 --> 366 16927 rates: True False ---------- ------ ------- sample 0.025 0.975 population 0.045 0.955 - match_rate (micro=0.916, macro=0.5): + match_rate (micro=0.917, macro=0.5): True False ------ ------- - 0.043 0.957 - filter_rate (micro=0.084, macro=0.5): + 0.042 0.958 + filter_rate (micro=0.083, macro=0.5): True False ------ ------- - 0.957 0.043 - recall (micro=0.956, macro=0.736): + 0.958 0.042 + recall (micro=0.957, macro=0.731): True False ------ ------- - 0.494 0.978 - !recall (micro=0.516, macro=0.736): + 0.482 0.979 + !recall (micro=0.504, macro=0.731): True False ------ ------- - 0.978 0.494 - precision (micro=0.956, macro=0.742): + 0.979 0.482 + precision (micro=0.955, macro=0.746): True False ------ ------- - 0.508 0.976 - !precision (micro=0.529, macro=0.742): + 0.515 0.976 + !precision (micro=0.536, macro=0.746): True False ------ ------- - 0.976 0.508 - f1 (micro=0.956, macro=0.739): + 0.976 0.515 + f1 (micro=0.956, macro=0.738): True False ------ ------- - 0.501 0.977 - !f1 (micro=0.522, macro=0.739): + 0.498 0.977 + !f1 (micro=0.52, macro=0.738): True False ------ ------- - 0.977 0.501 - accuracy (micro=0.956, macro=0.956): + 0.977 0.498 + accuracy (micro=0.957, macro=0.957): True False ------ ------- - 0.956 0.956 - fpr (micro=0.484, macro=0.264): + 0.957 0.957 + fpr (micro=0.496, macro=0.269): True False ------ ------- - 0.022 0.506 - roc_auc (micro=0.923, macro=0.922): + 0.021 0.518 + roc_auc (micro=0.915, macro=0.915): True False ------ ------- - 0.921 0.923 - pr_auc (micro=0.974, macro=0.753): + 0.914 0.915 + pr_auc (micro=0.973, macro=0.749): True False ------ ------- - 0.51 0.995 + 0.504 0.995 - - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} diff --git a/model_info/cswiki.goodfaith.md b/model_info/cswiki.goodfaith.md index ce080835..be4032b7 100644 --- a/model_info/cswiki.goodfaith.md +++ b/model_info/cswiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.6.0 - - params: {'min_impurity_decrease': 0.0, 'presort': 'deprecated', 'population_rates': None, 'tol': 0.0001, 'center': True, 'labels': [True, False], 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'loss': 'deviance', 'init': None, 'label_weights': OrderedDict([(False, 10)]), 'learning_rate': 0.01, 'multilabel': False, 'min_impurity_split': None, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'min_samples_leaf': 1, 'random_state': None, 'max_depth': 5, 'verbose': 0, 'max_features': 'log2', 'n_iter_no_change': None, 'subsample': 1.0, 'n_estimators': 500, 'scale': True, 'min_samples_split': 2, 'warm_start': False, 'criterion': 'friedman_mse'} + - params: {'population_rates': None, 'min_impurity_decrease': 0.0, 'n_iter_no_change': None, 'max_depth': 5, 'min_impurity_split': None, 'validation_fraction': 0.1, 'verbose': 0, 'multilabel': False, 'init': None, 'max_features': 'log2', 'learning_rate': 0.01, 'min_samples_split': 2, 'max_leaf_nodes': None, 'scale': True, 'warm_start': False, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'n_estimators': 500, 'subsample': 1.0, 'center': True, 'loss': 'deviance', 'tol': 0.0001, 'label_weights': OrderedDict([(False, 10)]), 'ccp_alpha': 0.0, 'labels': [True, False], 'presort': 'deprecated', 'min_samples_leaf': 1, 'criterion': 'friedman_mse'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=17799): + counts (n=17743): label n ~True ~False ------- ----- --- ------- -------- - True 17597 --> 17432 165 - False 202 --> 90 112 + True 17541 --> 17390 151 + False 202 --> 93 109 rates: True False ---------- ------ ------- sample 0.989 0.011 population 0.978 0.022 - match_rate (micro=0.957, macro=0.5): + match_rate (micro=0.958, macro=0.5): True False ------ ------- - 0.978 0.022 - filter_rate (micro=0.043, macro=0.5): + 0.979 0.021 + filter_rate (micro=0.042, macro=0.5): True False ------ ------- - 0.022 0.978 - recall (micro=0.981, macro=0.773): + 0.021 0.979 + recall (micro=0.981, macro=0.765): True False ------ ------- - 0.991 0.554 - !recall (micro=0.564, macro=0.773): + 0.991 0.54 + !recall (micro=0.55, macro=0.765): True False ------ ------- - 0.554 0.991 - precision (micro=0.98, macro=0.783): + 0.54 0.991 + precision (micro=0.98, macro=0.79): True False ------ ------- - 0.99 0.576 - !precision (micro=0.585, macro=0.783): + 0.989 0.59 + !precision (micro=0.599, macro=0.79): True False ------ ------- - 0.576 0.99 - f1 (micro=0.981, macro=0.778): + 0.59 0.989 + f1 (micro=0.981, macro=0.777): True False ------ ------- - 0.99 0.565 - !f1 (micro=0.575, macro=0.778): + 0.99 0.564 + !f1 (micro=0.573, macro=0.777): True False ------ ------- - 0.565 0.99 + 0.564 0.99 accuracy (micro=0.981, macro=0.981): True False ------ ------- 0.981 0.981 - fpr (micro=0.436, macro=0.227): + fpr (micro=0.45, macro=0.235): True False ------ ------- - 0.446 0.009 - roc_auc (micro=0.96, macro=0.958): + 0.46 0.009 + roc_auc (micro=0.962, macro=0.96): True False ------ ------- - 0.96 0.957 - pr_auc (micro=0.989, macro=0.792): + 0.962 0.958 + pr_auc (micro=0.989, macro=0.789): True False ------ ------- - 0.999 0.586 + 0.999 0.58 - - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/dewiki.damaging.md b/model_info/dewiki.damaging.md index 7d19fef6..53a3be7e 100644 --- a/model_info/dewiki.damaging.md +++ b/model_info/dewiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'init': None, 'min_samples_split': 2, 'min_impurity_split': None, 'max_leaf_nodes': None, 'multilabel': False, 'random_state': None, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'learning_rate': 0.1, 'n_estimators': 100, 'min_samples_leaf': 1, 'max_depth': 3, 'tol': 0.0001, 'warm_start': False, 'scale': True, 'n_iter_no_change': None, 'population_rates': None, 'ccp_alpha': 0.0, 'center': True, 'loss': 'deviance', 'labels': [True, False], 'verbose': 0, 'presort': 'deprecated', 'criterion': 'friedman_mse', 'subsample': 1.0, 'max_features': 'log2', 'validation_fraction': 0.1, 'label_weights': OrderedDict([(True, 10)])} + - params: {'criterion': 'friedman_mse', 'max_leaf_nodes': None, 'min_samples_leaf': 1, 'loss': 'deviance', 'warm_start': False, 'multilabel': False, 'n_estimators': 100, 'min_impurity_decrease': 0.0, 'verbose': 0, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'scale': True, 'subsample': 1.0, 'max_depth': 3, 'init': None, 'labels': [True, False], 'tol': 0.0001, 'random_state': None, 'validation_fraction': 0.1, 'learning_rate': 0.1, 'min_impurity_split': None, 'presort': 'deprecated', 'max_features': 'log2', 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'center': True, 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18563): + counts (n=18230): label n ~True ~False ------- ----- --- ------- -------- - True 557 --> 405 152 - False 18006 --> 1186 16820 + True 557 --> 416 141 + False 17673 --> 1182 16491 rates: True False ---------- ------ ------- - sample 0.03 0.97 - population 0.03 0.97 - match_rate (micro=0.889, macro=0.5): + sample 0.031 0.969 + population 0.03 0.97 + match_rate (micro=0.888, macro=0.5): True False ------ ------- - 0.086 0.914 - filter_rate (micro=0.111, macro=0.5): + 0.087 0.913 + filter_rate (micro=0.112, macro=0.5): True False ------ ------- - 0.914 0.086 - recall (micro=0.928, macro=0.831): + 0.913 0.087 + recall (micro=0.928, macro=0.84): True False ------ ------- - 0.727 0.934 - !recall (micro=0.733, macro=0.831): + 0.747 0.933 + !recall (micro=0.752, macro=0.84): True False ------ ------- - 0.934 0.727 - precision (micro=0.969, macro=0.623): + 0.933 0.747 + precision (micro=0.97, macro=0.624): True False ------ ------- - 0.254 0.991 - !precision (micro=0.276, macro=0.623): + 0.257 0.992 + !precision (micro=0.279, macro=0.624): True False ------ ------- - 0.991 0.254 - f1 (micro=0.944, macro=0.669): + 0.992 0.257 + f1 (micro=0.944, macro=0.672): True False ------ ------- - 0.377 0.962 - !f1 (micro=0.394, macro=0.669): + 0.382 0.962 + !f1 (micro=0.399, macro=0.672): True False ------ ------- - 0.962 0.377 + 0.962 0.382 accuracy (micro=0.928, macro=0.928): True False ------ ------- 0.928 0.928 - fpr (micro=0.267, macro=0.169): + fpr (micro=0.248, macro=0.16): True False ------ ------- - 0.066 0.273 - roc_auc (micro=0.936, macro=0.936): + 0.067 0.253 + roc_auc (micro=0.934, macro=0.933): True False ------ ------- - 0.935 0.936 - pr_auc (micro=0.983, macro=0.755): + 0.932 0.934 + pr_auc (micro=0.983, macro=0.756): True False ------ ------- - 0.513 0.998 + 0.514 0.997 - - score_schema: {'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} diff --git a/model_info/dewiki.goodfaith.md b/model_info/dewiki.goodfaith.md index 02521820..a924498d 100644 --- a/model_info/dewiki.goodfaith.md +++ b/model_info/dewiki.goodfaith.md @@ -1,32 +1,32 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'center': True, 'n_estimators': 500, 'learning_rate': 0.5, 'labels': [True, False], 'verbose': 0, 'scale': True, 'max_leaf_nodes': None, 'loss': 'deviance', 'population_rates': None, 'label_weights': OrderedDict([(False, 10)]), 'multilabel': False, 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'subsample': 1.0, 'n_iter_no_change': None, 'min_samples_leaf': 1, 'warm_start': False, 'random_state': None, 'tol': 0.0001, 'criterion': 'friedman_mse', 'min_samples_split': 2, 'validation_fraction': 0.1, 'max_features': 'log2', 'min_impurity_decrease': 0.0, 'max_depth': 5, 'init': None, 'presort': 'deprecated', 'min_impurity_split': None} + - params: {'min_samples_split': 2, 'random_state': None, 'subsample': 1.0, 'multilabel': False, 'max_features': 'log2', 'learning_rate': 0.5, 'criterion': 'friedman_mse', 'population_rates': None, 'verbose': 0, 'min_impurity_split': None, 'n_estimators': 500, 'warm_start': False, 'scale': True, 'center': True, 'label_weights': OrderedDict([(False, 10)]), 'loss': 'deviance', 'labels': [True, False], 'n_iter_no_change': None, 'min_samples_leaf': 1, 'tol': 0.0001, 'max_leaf_nodes': None, 'ccp_alpha': 0.0, 'presort': 'deprecated', 'min_impurity_decrease': 0.0, 'validation_fraction': 0.1, 'init': None, 'max_depth': 5, 'min_weight_fraction_leaf': 0.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18563): + counts (n=18230): label n ~True ~False ------- ----- --- ------- -------- - True 18202 --> 18143 59 - False 361 --> 210 151 + True 17869 --> 17820 49 + False 361 --> 211 150 rates: True False ---------- ------ ------- - sample 0.981 0.019 + sample 0.98 0.02 population 0.981 0.019 match_rate (micro=0.97, macro=0.5): True False @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.011 0.989 - recall (micro=0.986, macro=0.708): + recall (micro=0.986, macro=0.706): True False ------ ------- - 0.997 0.418 - !recall (micro=0.429, macro=0.708): + 0.997 0.416 + !recall (micro=0.427, macro=0.706): True False ------ ------- - 0.418 0.997 - precision (micro=0.983, macro=0.853): + 0.416 0.997 + precision (micro=0.984, macro=0.869): True False ------ ------- - 0.989 0.718 - !precision (micro=0.723, macro=0.853): + 0.989 0.749 + !precision (micro=0.754, macro=0.869): True False ------ ------- - 0.718 0.989 - f1 (micro=0.984, macro=0.761): + 0.749 0.989 + f1 (micro=0.984, macro=0.764): True False ------ ------- - 0.993 0.529 - !f1 (micro=0.538, macro=0.761): + 0.993 0.535 + !f1 (micro=0.543, macro=0.764): True False ------ ------- - 0.529 0.993 + 0.535 0.993 accuracy (micro=0.986, macro=0.986): True False ------ ------- 0.986 0.986 - fpr (micro=0.571, macro=0.292): + fpr (micro=0.573, macro=0.294): True False ------ ------- - 0.582 0.003 - roc_auc (micro=0.976, macro=0.905): + 0.584 0.003 + roc_auc (micro=0.978, macro=0.916): True False ------ ------- - 0.979 0.83 - pr_auc (micro=0.985, macro=0.762): + 0.98 0.851 + pr_auc (micro=0.986, macro=0.771): True False ------ ------- - 0.993 0.531 + 0.994 0.548 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} diff --git a/model_info/elwiki.reverted.md b/model_info/elwiki.reverted.md index b3b129dc..1e451f6b 100644 --- a/model_info/elwiki.reverted.md +++ b/model_info/elwiki.reverted.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'multilabel': False, 'min_impurity_decrease': 0.0, 'max_depth': 7, 'min_samples_split': 2, 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'loss': 'deviance', 'label_weights': OrderedDict([(True, 10)]), 'min_samples_leaf': 1, 'max_features': 'log2', 'population_rates': None, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'min_impurity_split': None, 'learning_rate': 0.01, 'center': True, 'n_estimators': 500, 'random_state': None, 'criterion': 'friedman_mse', 'ccp_alpha': 0.0, 'subsample': 1.0, 'verbose': 0, 'init': None, 'n_iter_no_change': None, 'labels': [True, False], 'presort': 'deprecated', 'warm_start': False, 'scale': True} + - params: {'labels': [True, False], 'presort': 'deprecated', 'criterion': 'friedman_mse', 'verbose': 0, 'label_weights': OrderedDict([(True, 10)]), 'ccp_alpha': 0.0, 'random_state': None, 'center': True, 'n_estimators': 500, 'subsample': 1.0, 'max_features': 'log2', 'loss': 'deviance', 'warm_start': False, 'init': None, 'max_depth': 7, 'multilabel': False, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'min_weight_fraction_leaf': 0.0, 'validation_fraction': 0.1, 'tol': 0.0001, 'scale': True, 'max_leaf_nodes': None, 'min_samples_split': 2, 'learning_rate': 0.01, 'min_samples_leaf': 1, 'min_impurity_split': None, 'population_rates': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19734): + counts (n=19704): label n ~True ~False ------- ----- --- ------- -------- - True 947 --> 629 318 - False 18787 --> 1381 17406 + True 945 --> 617 328 + False 18759 --> 1359 17400 rates: True False ---------- ------ ------- sample 0.048 0.952 population 0.052 0.948 - match_rate (micro=0.855, macro=0.5): + match_rate (micro=0.856, macro=0.5): True False ------ ------- - 0.104 0.896 - filter_rate (micro=0.145, macro=0.5): + 0.102 0.898 + filter_rate (micro=0.144, macro=0.5): True False ------ ------- - 0.896 0.104 - recall (micro=0.913, macro=0.795): + 0.898 0.102 + recall (micro=0.913, macro=0.79): True False ------ ------- - 0.664 0.926 - !recall (micro=0.678, macro=0.795): + 0.653 0.928 + !recall (micro=0.667, macro=0.79): True False ------ ------- - 0.926 0.664 - precision (micro=0.947, macro=0.655): + 0.928 0.653 + precision (micro=0.946, macro=0.655): True False ------ ------- - 0.33 0.981 - !precision (micro=0.364, macro=0.655): + 0.329 0.98 + !precision (micro=0.363, macro=0.655): True False ------ ------- - 0.981 0.33 - f1 (micro=0.926, macro=0.697): + 0.98 0.329 + f1 (micro=0.926, macro=0.696): True False ------ ------- - 0.441 0.953 - !f1 (micro=0.467, macro=0.697): + 0.438 0.953 + !f1 (micro=0.465, macro=0.696): True False ------ ------- - 0.953 0.441 + 0.953 0.438 accuracy (micro=0.913, macro=0.913): True False ------ ------- 0.913 0.913 - fpr (micro=0.322, macro=0.205): + fpr (micro=0.333, macro=0.21): True False ------ ------- - 0.074 0.336 + 0.072 0.347 roc_auc (micro=0.912, macro=0.912): True False ------ ------- - 0.912 0.912 - pr_auc (micro=0.966, macro=0.717): + 0.911 0.912 + pr_auc (micro=0.966, macro=0.723): True False ------ ------- - 0.441 0.994 + 0.452 0.994 - - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} diff --git a/model_info/enwiki.damaging.md b/model_info/enwiki.damaging.md index e232809b..597ce892 100644 --- a/model_info/enwiki.damaging.md +++ b/model_info/enwiki.damaging.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'loss': 'deviance', 'label_weights': OrderedDict([(True, 10)]), 'max_depth': 7, 'min_samples_leaf': 1, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'n_iter_no_change': None, 'criterion': 'friedman_mse', 'multilabel': False, 'subsample': 1.0, 'learning_rate': 0.01, 'labels': [True, False], 'warm_start': False, 'tol': 0.0001, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'max_features': 'log2', 'min_impurity_split': None, 'center': True, 'min_samples_split': 2, 'scale': True, 'population_rates': None, 'init': None, 'random_state': None, 'verbose': 0, 'min_impurity_decrease': 0.0, 'presort': 'deprecated', 'n_estimators': 700} + - params: {'min_impurity_split': None, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'tol': 0.0001, 'min_samples_leaf': 1, 'population_rates': None, 'min_samples_split': 2, 'max_leaf_nodes': None, 'subsample': 1.0, 'warm_start': False, 'scale': True, 'labels': [True, False], 'n_iter_no_change': None, 'label_weights': OrderedDict([(True, 10)]), 'verbose': 0, 'init': None, 'loss': 'deviance', 'criterion': 'friedman_mse', 'n_estimators': 700, 'learning_rate': 0.01, 'center': True, 'multilabel': False, 'min_impurity_decrease': 0.0, 'max_depth': 7, 'max_features': 'log2', 'ccp_alpha': 0.0, 'presort': 'deprecated'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19332): + counts (n=19300): label n ~True ~False ------- ----- --- ------- -------- - True 747 --> 429 318 - False 18585 --> 710 17875 + True 745 --> 428 317 + False 18555 --> 706 17849 rates: True False ---------- ------ ------- @@ -31,11 +31,11 @@ Model Information: match_rate (micro=0.913, macro=0.5): True False ------ ------- - 0.057 0.943 + 0.056 0.944 filter_rate (micro=0.087, macro=0.5): True False ------ ------- - 0.943 0.057 + 0.944 0.056 recall (micro=0.949, macro=0.768): True False ------ ------- @@ -47,19 +47,19 @@ Model Information: precision (micro=0.963, macro=0.666): True False ------ ------- - 0.347 0.985 - !precision (micro=0.369, macro=0.666): + 0.348 0.985 + !precision (micro=0.37, macro=0.666): True False ------ ------- - 0.985 0.347 + 0.985 0.348 f1 (micro=0.955, macro=0.703): True False ------ ------- - 0.433 0.973 - !f1 (micro=0.451, macro=0.703): + 0.434 0.973 + !f1 (micro=0.452, macro=0.703): True False ------ ------- - 0.973 0.433 + 0.973 0.434 accuracy (micro=0.949, macro=0.949): True False ------ ------- @@ -71,11 +71,11 @@ Model Information: roc_auc (micro=0.924, macro=0.924): True False ------ ------- - 0.924 0.924 - pr_auc (micro=0.978, macro=0.722): + 0.923 0.924 + pr_auc (micro=0.978, macro=0.719): True False ------ ------- - 0.448 0.997 + 0.442 0.997 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} diff --git a/model_info/enwiki.goodfaith.md b/model_info/enwiki.goodfaith.md index 501bef86..9b946466 100644 --- a/model_info/enwiki.goodfaith.md +++ b/model_info/enwiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'presort': 'deprecated', 'max_features': 'log2', 'loss': 'deviance', 'ccp_alpha': 0.0, 'multilabel': False, 'min_impurity_decrease': 0.0, 'n_iter_no_change': None, 'warm_start': False, 'max_leaf_nodes': None, 'label_weights': OrderedDict([(False, 10)]), 'verbose': 0, 'validation_fraction': 0.1, 'init': None, 'subsample': 1.0, 'center': True, 'min_samples_leaf': 1, 'learning_rate': 0.01, 'min_weight_fraction_leaf': 0.0, 'min_samples_split': 2, 'max_depth': 7, 'population_rates': None, 'random_state': None, 'criterion': 'friedman_mse', 'min_impurity_split': None, 'tol': 0.0001, 'scale': True, 'labels': [True, False], 'n_estimators': 700} + - params: {'max_depth': 7, 'loss': 'deviance', 'max_features': 'log2', 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None, 'random_state': None, 'warm_start': False, 'validation_fraction': 0.1, 'presort': 'deprecated', 'multilabel': False, 'learning_rate': 0.01, 'labels': [True, False], 'min_weight_fraction_leaf': 0.0, 'tol': 0.0001, 'init': None, 'n_iter_no_change': None, 'subsample': 1.0, 'label_weights': OrderedDict([(False, 10)]), 'min_impurity_split': None, 'center': True, 'criterion': 'friedman_mse', 'min_samples_leaf': 1, 'ccp_alpha': 0.0, 'population_rates': None, 'min_samples_split': 2, 'scale': True, 'n_estimators': 700, 'verbose': 0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19332): + counts (n=19300): label n ~True ~False ------- ----- --- ------- -------- - True 18824 --> 18490 334 - False 508 --> 257 251 + True 18794 --> 18467 327 + False 506 --> 259 247 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.033 0.967 - recall (micro=0.966, macro=0.738): + recall (micro=0.966, macro=0.735): True False ------ ------- - 0.982 0.494 - !recall (micro=0.51, macro=0.738): + 0.983 0.488 + !recall (micro=0.504, macro=0.735): True False ------ ------- - 0.494 0.982 - precision (micro=0.967, macro=0.734): + 0.488 0.983 + precision (micro=0.966, macro=0.735): True False ------ ------- - 0.983 0.486 - !precision (micro=0.502, macro=0.734): + 0.983 0.488 + !precision (micro=0.504, macro=0.735): True False ------ ------- - 0.486 0.983 - f1 (micro=0.966, macro=0.736): + 0.488 0.983 + f1 (micro=0.966, macro=0.735): True False ------ ------- - 0.983 0.49 - !f1 (micro=0.506, macro=0.736): + 0.983 0.488 + !f1 (micro=0.504, macro=0.735): True False ------ ------- - 0.49 0.983 + 0.488 0.983 accuracy (micro=0.966, macro=0.966): True False ------ ------- 0.966 0.966 - fpr (micro=0.49, macro=0.262): + fpr (micro=0.496, macro=0.265): True False ------ ------- - 0.506 0.018 + 0.512 0.017 roc_auc (micro=0.926, macro=0.925): True False ------ ------- 0.926 0.924 - pr_auc (micro=0.979, macro=0.735): + pr_auc (micro=0.979, macro=0.737): True False ------ ------- - 0.996 0.473 + 0.997 0.477 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/enwiktionary.reverted.md b/model_info/enwiktionary.reverted.md index 8c8678f6..9abfde88 100644 --- a/model_info/enwiktionary.reverted.md +++ b/model_info/enwiktionary.reverted.md @@ -1,28 +1,28 @@ Model Information: - type: RandomForest - version: 0.5.0 - - params: {'n_estimators': 320, 'n_jobs': None, 'min_impurity_decrease': 0.0, 'ccp_alpha': 0.0, 'warm_start': False, 'min_weight_fraction_leaf': 0.0, 'max_samples': None, 'criterion': 'entropy', 'oob_score': False, 'min_samples_split': 2, 'random_state': None, 'labels': [True, False], 'max_features': 'log2', 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None, 'multilabel': False, 'bootstrap': True, 'min_impurity_split': None, 'max_depth': None, 'class_weight': None, 'verbose': 0, 'center': True, 'max_leaf_nodes': None, 'scale': True, 'min_samples_leaf': 3} + - params: {'labels': [True, False], 'multilabel': False, 'bootstrap': True, 'verbose': 0, 'max_samples': None, 'min_impurity_decrease': 0.0, 'min_samples_leaf': 3, 'min_samples_split': 2, 'class_weight': None, 'n_estimators': 320, 'max_depth': None, 'label_weights': OrderedDict([(True, 10)]), 'random_state': None, 'max_features': 'log2', 'ccp_alpha': 0.0, 'n_jobs': None, 'warm_start': False, 'min_impurity_split': None, 'min_weight_fraction_leaf': 0.0, 'population_rates': None, 'scale': True, 'criterion': 'entropy', 'center': True, 'max_leaf_nodes': None, 'oob_score': False} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=91507): + counts (n=91446): label n ~True ~False ------- ----- --- ------- -------- - True 690 --> 130 560 - False 90817 --> 15 90802 + True 700 --> 127 573 + False 90746 --> 21 90725 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.999 0.001 - recall (micro=0.996, macro=0.594): + recall (micro=0.996, macro=0.591): True False ------ ------- - 0.188 1 - !recall (micro=0.192, macro=0.594): + 0.181 1 + !recall (micro=0.185, macro=0.591): True False ------ ------- - 1 0.188 - precision (micro=0.995, macro=0.921): + 1 0.181 + precision (micro=0.995, macro=0.893): True False ------ ------- - 0.846 0.996 - !precision (micro=0.846, macro=0.921): + 0.79 0.996 + !precision (micro=0.791, macro=0.893): True False ------ ------- - 0.996 0.846 - f1 (micro=0.995, macro=0.653): + 0.996 0.79 + f1 (micro=0.995, macro=0.647): True False ------ ------- - 0.308 0.998 - !f1 (micro=0.311, macro=0.653): + 0.295 0.998 + !f1 (micro=0.298, macro=0.647): True False ------ ------- - 0.998 0.308 + 0.998 0.295 accuracy (micro=0.996, macro=0.996): True False ------ ------- 0.996 0.996 - fpr (micro=0.808, macro=0.406): + fpr (micro=0.815, macro=0.409): True False ------ ------- - 0 0.812 - roc_auc (micro=0.976, macro=0.971): + 0 0.819 + roc_auc (micro=0.977, macro=0.973): True False ------ ------- - 0.967 0.976 - pr_auc (micro=0.997, macro=0.729): + 0.969 0.977 + pr_auc (micro=0.997, macro=0.731): True False ------ ------- - 0.458 1 + 0.462 1 - - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/eswiki.damaging.md b/model_info/eswiki.damaging.md index 5a15ce08..28318a9d 100644 --- a/model_info/eswiki.damaging.md +++ b/model_info/eswiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'loss': 'deviance', 'presort': 'deprecated', 'init': None, 'validation_fraction': 0.1, 'min_samples_leaf': 1, 'population_rates': None, 'scale': True, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'criterion': 'friedman_mse', 'subsample': 1.0, 'ccp_alpha': 0.0, 'n_iter_no_change': None, 'multilabel': False, 'min_impurity_split': None, 'warm_start': False, 'verbose': 0, 'random_state': None, 'label_weights': OrderedDict([(True, 10)]), 'tol': 0.0001, 'max_depth': 3, 'n_estimators': 300, 'max_features': 'log2', 'min_samples_split': 2, 'center': True, 'learning_rate': 0.1, 'max_leaf_nodes': None, 'labels': [True, False]} + - params: {'scale': True, 'min_weight_fraction_leaf': 0.0, 'labels': [True, False], 'loss': 'deviance', 'min_samples_split': 2, 'label_weights': OrderedDict([(True, 10)]), 'min_samples_leaf': 1, 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'min_impurity_split': None, 'min_impurity_decrease': 0.0, 'init': None, 'verbose': 0, 'criterion': 'friedman_mse', 'multilabel': False, 'validation_fraction': 0.1, 'learning_rate': 0.1, 'n_estimators': 300, 'population_rates': None, 'center': True, 'subsample': 1.0, 'max_features': 'log2', 'warm_start': False, 'random_state': None, 'presort': 'deprecated', 'max_leaf_nodes': None, 'max_depth': 3, 'tol': 0.0001} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18904): + counts (n=18783): label n ~True ~False ------- ----- --- ------- -------- - True 2504 --> 2290 214 - False 16400 --> 3804 12596 + True 2500 --> 2258 242 + False 16283 --> 3786 12497 rates: True False ---------- ------ ------- - sample 0.132 0.868 + sample 0.133 0.867 population 0.11 0.89 - match_rate (micro=0.65, macro=0.5): + match_rate (micro=0.651, macro=0.5): True False ------ ------- 0.307 0.693 - filter_rate (micro=0.35, macro=0.5): + filter_rate (micro=0.349, macro=0.5): True False ------ ------- 0.693 0.307 - recall (micro=0.784, macro=0.841): + recall (micro=0.782, macro=0.835): True False ------ ------- - 0.915 0.768 - !recall (micro=0.898, macro=0.841): + 0.903 0.767 + !recall (micro=0.888, macro=0.835): True False ------ ------- - 0.768 0.915 - precision (micro=0.914, macro=0.657): + 0.767 0.903 + precision (micro=0.912, macro=0.655): True False ------ ------- - 0.328 0.986 - !precision (micro=0.401, macro=0.657): + 0.325 0.985 + !precision (micro=0.398, macro=0.655): True False ------ ------- - 0.986 0.328 - f1 (micro=0.822, macro=0.673): + 0.985 0.325 + f1 (micro=0.82, macro=0.67): True False ------ ------- - 0.483 0.864 - !f1 (micro=0.525, macro=0.673): + 0.478 0.863 + !f1 (micro=0.521, macro=0.67): True False ------ ------- - 0.864 0.483 - accuracy (micro=0.784, macro=0.784): + 0.863 0.478 + accuracy (micro=0.782, macro=0.782): True False ------ ------- - 0.784 0.784 - fpr (micro=0.102, macro=0.159): + 0.782 0.782 + fpr (micro=0.112, macro=0.165): True False ------ ------- - 0.232 0.085 - roc_auc (micro=0.921, macro=0.922): + 0.233 0.097 + roc_auc (micro=0.922, macro=0.921): True False ------ ------- - 0.922 0.921 - pr_auc (micro=0.952, macro=0.817): + 0.92 0.922 + pr_auc (micro=0.951, macro=0.815): True False ------ ------- - 0.645 0.99 + 0.64 0.989 - - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/eswiki.goodfaith.md b/model_info/eswiki.goodfaith.md index 0e300a1f..51396682 100644 --- a/model_info/eswiki.goodfaith.md +++ b/model_info/eswiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_impurity_split': None, 'label_weights': OrderedDict([(False, 10)]), 'population_rates': None, 'min_samples_leaf': 1, 'n_iter_no_change': None, 'presort': 'deprecated', 'n_estimators': 300, 'subsample': 1.0, 'min_samples_split': 2, 'center': True, 'validation_fraction': 0.1, 'learning_rate': 0.1, 'criterion': 'friedman_mse', 'tol': 0.0001, 'ccp_alpha': 0.0, 'scale': True, 'max_features': 'log2', 'labels': [True, False], 'warm_start': False, 'verbose': 0, 'min_weight_fraction_leaf': 0.0, 'init': None, 'max_depth': 3, 'random_state': None, 'multilabel': False, 'max_leaf_nodes': None, 'loss': 'deviance', 'min_impurity_decrease': 0.0} + - params: {'presort': 'deprecated', 'warm_start': False, 'loss': 'deviance', 'tol': 0.0001, 'criterion': 'friedman_mse', 'init': None, 'n_estimators': 300, 'random_state': None, 'scale': True, 'min_samples_split': 2, 'validation_fraction': 0.1, 'subsample': 1.0, 'ccp_alpha': 0.0, 'label_weights': OrderedDict([(False, 10)]), 'min_weight_fraction_leaf': 0.0, 'multilabel': False, 'verbose': 0, 'min_impurity_split': None, 'labels': [True, False], 'max_features': 'log2', 'n_iter_no_change': None, 'center': True, 'min_impurity_decrease': 0.0, 'max_depth': 3, 'learning_rate': 0.1, 'population_rates': None, 'max_leaf_nodes': None, 'min_samples_leaf': 1} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18904): + counts (n=18783): label n ~True ~False ------- ----- --- ------- -------- - True 17098 --> 14373 2725 - False 1806 --> 231 1575 + True 16978 --> 14299 2679 + False 1805 --> 226 1579 rates: True False ---------- ------ ------- sample 0.904 0.096 population 0.11 0.89 - match_rate (micro=0.729, macro=0.5): + match_rate (micro=0.73, macro=0.5): True False ------ ------- - 0.207 0.793 - filter_rate (micro=0.271, macro=0.5): + 0.204 0.796 + filter_rate (micro=0.27, macro=0.5): True False ------ ------- - 0.793 0.207 - recall (micro=0.869, macro=0.856): + 0.796 0.204 + recall (micro=0.871, macro=0.858): True False ------ ------- - 0.841 0.872 - !recall (micro=0.844, macro=0.856): + 0.842 0.875 + !recall (micro=0.846, macro=0.858): True False ------ ------- - 0.872 0.841 - precision (micro=0.919, macro=0.713): + 0.875 0.842 + precision (micro=0.92, macro=0.716): True False ------ ------- - 0.449 0.978 - !precision (micro=0.507, macro=0.713): + 0.455 0.978 + !precision (micro=0.513, macro=0.716): True False ------ ------- - 0.978 0.449 - f1 (micro=0.885, macro=0.754): + 0.978 0.455 + f1 (micro=0.887, macro=0.757): True False ------ ------- - 0.585 0.922 - !f1 (micro=0.623, macro=0.754): + 0.591 0.924 + !f1 (micro=0.627, macro=0.757): True False ------ ------- - 0.922 0.585 - accuracy (micro=0.869, macro=0.869): + 0.924 0.591 + accuracy (micro=0.871, macro=0.871): True False ------ ------- - 0.869 0.869 - fpr (micro=0.156, macro=0.144): + 0.871 0.871 + fpr (micro=0.154, macro=0.142): True False ------ ------- - 0.128 0.159 + 0.125 0.158 roc_auc (micro=0.935, macro=0.935): True False ------ ------- - 0.934 0.935 - pr_auc (micro=0.967, macro=0.887): + 0.935 0.935 + pr_auc (micro=0.968, macro=0.889): True False ------ ------- - 0.785 0.99 + 0.787 0.99 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} + - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/eswikibooks.damaging.md b/model_info/eswikibooks.damaging.md index 78177a95..51a0b283 100644 --- a/model_info/eswikibooks.damaging.md +++ b/model_info/eswikibooks.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'center': True, 'learning_rate': 0.1, 'min_samples_leaf': 1, 'verbose': 0, 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None, 'multilabel': False, 'min_impurity_split': None, 'tol': 0.0001, 'warm_start': False, 'min_weight_fraction_leaf': 0.0, 'presort': 'deprecated', 'subsample': 1.0, 'n_iter_no_change': None, 'label_weights': OrderedDict([(True, 10)]), 'max_features': 'log2', 'validation_fraction': 0.1, 'init': None, 'ccp_alpha': 0.0, 'max_depth': 3, 'population_rates': None, 'scale': True, 'criterion': 'friedman_mse', 'random_state': None, 'loss': 'deviance', 'labels': [True, False], 'min_samples_split': 2, 'n_estimators': 500} + - params: {'learning_rate': 0.1, 'validation_fraction': 0.1, 'min_impurity_decrease': 0.0, 'ccp_alpha': 0.0, 'min_impurity_split': None, 'center': True, 'max_features': 'log2', 'verbose': 0, 'warm_start': False, 'min_samples_split': 2, 'loss': 'deviance', 'multilabel': False, 'label_weights': OrderedDict([(True, 10)]), 'max_depth': 3, 'min_weight_fraction_leaf': 0.0, 'criterion': 'friedman_mse', 'n_iter_no_change': None, 'random_state': None, 'population_rates': None, 'n_estimators': 500, 'scale': True, 'init': None, 'min_samples_leaf': 1, 'presort': 'deprecated', 'max_leaf_nodes': None, 'labels': [True, False], 'subsample': 1.0, 'tol': 0.0001} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18732): + counts (n=18734): label n ~True ~False ------- ----- --- ------- -------- - True 2132 --> 1915 217 - False 16600 --> 1815 14785 + True 2130 --> 1919 211 + False 16604 --> 1865 14739 rates: True False ---------- ------ ------- sample 0.114 0.886 population 0.113 0.887 - match_rate (micro=0.734, macro=0.5): + match_rate (micro=0.731, macro=0.5): True False ------ ------- - 0.198 0.802 - filter_rate (micro=0.266, macro=0.5): + 0.201 0.799 + filter_rate (micro=0.269, macro=0.5): True False ------ ------- - 0.802 0.198 - recall (micro=0.892, macro=0.894): + 0.799 0.201 + recall (micro=0.889, macro=0.894): True False ------ ------- - 0.898 0.891 - !recall (micro=0.897, macro=0.894): + 0.901 0.888 + !recall (micro=0.899, macro=0.894): True False ------ ------- - 0.891 0.898 - precision (micro=0.932, macro=0.748): + 0.888 0.901 + precision (micro=0.932, macro=0.745): True False ------ ------- - 0.511 0.986 - !precision (micro=0.564, macro=0.748): + 0.505 0.986 + !precision (micro=0.559, macro=0.745): True False ------ ------- - 0.986 0.511 - f1 (micro=0.904, macro=0.793): + 0.986 0.505 + f1 (micro=0.902, macro=0.791): True False ------ ------- - 0.651 0.936 - !f1 (micro=0.683, macro=0.793): + 0.647 0.934 + !f1 (micro=0.679, macro=0.791): True False ------ ------- - 0.936 0.651 - accuracy (micro=0.892, macro=0.892): + 0.934 0.647 + accuracy (micro=0.889, macro=0.889): True False ------ ------- - 0.892 0.892 - fpr (micro=0.103, macro=0.106): + 0.889 0.889 + fpr (micro=0.101, macro=0.106): True False ------ ------- - 0.109 0.102 - roc_auc (micro=0.958, macro=0.958): + 0.112 0.099 + roc_auc (micro=0.96, macro=0.959): True False ------ ------- - 0.958 0.958 - pr_auc (micro=0.973, macro=0.901): + 0.959 0.96 + pr_auc (micro=0.974, macro=0.901): True False ------ ------- - 0.807 0.994 + 0.808 0.995 - - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/eswikibooks.goodfaith.md b/model_info/eswikibooks.goodfaith.md index 6af67d69..8a720d47 100644 --- a/model_info/eswikibooks.goodfaith.md +++ b/model_info/eswikibooks.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'presort': 'deprecated', 'max_features': 'log2', 'multilabel': False, 'max_leaf_nodes': None, 'n_estimators': 700, 'min_samples_split': 2, 'min_samples_leaf': 1, 'max_depth': 7, 'min_impurity_decrease': 0.0, 'learning_rate': 0.5, 'label_weights': OrderedDict([(False, 10)]), 'loss': 'deviance', 'ccp_alpha': 0.0, 'labels': [True, False], 'verbose': 0, 'tol': 0.0001, 'random_state': None, 'criterion': 'friedman_mse', 'validation_fraction': 0.1, 'min_impurity_split': None, 'subsample': 1.0, 'scale': True, 'warm_start': False, 'center': True, 'init': None, 'min_weight_fraction_leaf': 0.0, 'population_rates': None, 'n_iter_no_change': None} + - params: {'init': None, 'min_samples_split': 2, 'min_impurity_decrease': 0.0, 'subsample': 1.0, 'presort': 'deprecated', 'tol': 0.0001, 'n_iter_no_change': None, 'max_features': 'log2', 'max_leaf_nodes': None, 'label_weights': OrderedDict([(False, 10)]), 'min_weight_fraction_leaf': 0.0, 'labels': [True, False], 'loss': 'deviance', 'verbose': 0, 'validation_fraction': 0.1, 'scale': True, 'criterion': 'friedman_mse', 'random_state': None, 'min_impurity_split': None, 'ccp_alpha': 0.0, 'learning_rate': 0.5, 'center': True, 'max_depth': 7, 'n_estimators': 700, 'warm_start': False, 'min_samples_leaf': 1, 'population_rates': None, 'multilabel': False} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18732): + counts (n=18734): label n ~True ~False ------- ----- --- ------- -------- - True 17099 --> 16768 331 - False 1633 --> 370 1263 + True 17103 --> 16795 308 + False 1631 --> 389 1242 rates: True False ---------- ------ ------- sample 0.913 0.087 population 0.914 0.086 - match_rate (micro=0.844, macro=0.5): + match_rate (micro=0.846, macro=0.5): True False ------ ------- - 0.916 0.084 - filter_rate (micro=0.156, macro=0.5): + 0.918 0.082 + filter_rate (micro=0.154, macro=0.5): True False ------ ------- - 0.084 0.916 - recall (micro=0.963, macro=0.877): + 0.082 0.918 + recall (micro=0.963, macro=0.872): True False ------ ------- - 0.981 0.773 - !recall (micro=0.791, macro=0.877): + 0.982 0.761 + !recall (micro=0.78, macro=0.872): True False ------ ------- - 0.773 0.981 - precision (micro=0.962, macro=0.884): + 0.761 0.982 + precision (micro=0.962, macro=0.888): True False ------ ------- - 0.979 0.79 - !precision (micro=0.806, macro=0.884): + 0.978 0.799 + !precision (micro=0.815, macro=0.888): True False ------ ------- - 0.79 0.979 - f1 (micro=0.963, macro=0.881): + 0.799 0.978 + f1 (micro=0.963, macro=0.88): True False ------ ------- - 0.98 0.782 - !f1 (micro=0.799, macro=0.881): + 0.98 0.78 + !f1 (micro=0.797, macro=0.88): True False ------ ------- - 0.782 0.98 + 0.78 0.98 accuracy (micro=0.963, macro=0.963): True False ------ ------- 0.963 0.963 - fpr (micro=0.209, macro=0.123): + fpr (micro=0.22, macro=0.128): True False ------ ------- - 0.227 0.019 - roc_auc (micro=0.982, macro=0.967): + 0.239 0.018 + roc_auc (micro=0.981, macro=0.965): True False ------ ------- - 0.985 0.949 - pr_auc (micro=0.976, macro=0.903): + 0.985 0.946 + pr_auc (micro=0.975, macro=0.9): True False ------ ------- - 0.991 0.815 + 0.99 0.811 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'type': 'object'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/eswikiquote.damaging.md b/model_info/eswikiquote.damaging.md index 66428162..fbf993f3 100644 --- a/model_info/eswikiquote.damaging.md +++ b/model_info/eswikiquote.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'tol': 0.0001, 'scale': True, 'n_iter_no_change': None, 'min_weight_fraction_leaf': 0.0, 'validation_fraction': 0.1, 'min_impurity_split': None, 'verbose': 0, 'subsample': 1.0, 'loss': 'deviance', 'max_depth': 7, 'min_samples_split': 2, 'presort': 'deprecated', 'label_weights': OrderedDict([(True, 10)]), 'max_features': 'log2', 'min_samples_leaf': 1, 'max_leaf_nodes': None, 'labels': [True, False], 'init': None, 'criterion': 'friedman_mse', 'random_state': None, 'min_impurity_decrease': 0.0, 'ccp_alpha': 0.0, 'multilabel': False, 'warm_start': False, 'center': True, 'learning_rate': 0.01, 'population_rates': None, 'n_estimators': 700} + - params: {'label_weights': OrderedDict([(True, 10)]), 'min_impurity_split': None, 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'init': None, 'labels': [True, False], 'multilabel': False, 'center': True, 'verbose': 0, 'n_estimators': 700, 'validation_fraction': 0.1, 'min_samples_leaf': 1, 'min_samples_split': 2, 'learning_rate': 0.01, 'tol': 0.0001, 'warm_start': False, 'max_leaf_nodes': None, 'population_rates': None, 'max_depth': 7, 'presort': 'deprecated', 'criterion': 'friedman_mse', 'ccp_alpha': 0.0, 'loss': 'deviance', 'scale': True, 'max_features': 'log2', 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'n_iter_no_change': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=9758): + counts (n=9421): label n ~True ~False ------- ---- --- ------- -------- - True 849 --> 687 162 - False 8909 --> 750 8159 + True 821 --> 666 155 + False 8600 --> 700 7900 rates: True False ---------- ------ ------- sample 0.087 0.913 population 0.087 0.913 - match_rate (micro=0.791, macro=0.5): + match_rate (micro=0.793, macro=0.5): True False ------ ------- - 0.147 0.853 - filter_rate (micro=0.209, macro=0.5): + 0.145 0.855 + filter_rate (micro=0.207, macro=0.5): True False ------ ------- - 0.853 0.147 - recall (micro=0.907, macro=0.863): + 0.855 0.145 + recall (micro=0.909, macro=0.865): True False ------ ------- - 0.809 0.916 - !recall (micro=0.818, macro=0.863): + 0.811 0.919 + !recall (micro=0.821, macro=0.865): True False ------ ------- - 0.916 0.809 - precision (micro=0.937, macro=0.729): + 0.919 0.811 + precision (micro=0.938, macro=0.734): True False ------ ------- - 0.478 0.981 - !precision (micro=0.522, macro=0.729): + 0.487 0.981 + !precision (micro=0.53, macro=0.734): True False ------ ------- - 0.981 0.478 - f1 (micro=0.917, macro=0.774): + 0.981 0.487 + f1 (micro=0.919, macro=0.779): True False ------ ------- - 0.601 0.947 - !f1 (micro=0.631, macro=0.774): + 0.609 0.949 + !f1 (micro=0.638, macro=0.779): True False ------ ------- - 0.947 0.601 - accuracy (micro=0.907, macro=0.907): + 0.949 0.609 + accuracy (micro=0.909, macro=0.909): True False ------ ------- - 0.907 0.907 - fpr (micro=0.182, macro=0.137): + 0.909 0.909 + fpr (micro=0.179, macro=0.135): True False ------ ------- - 0.084 0.191 + 0.081 0.189 roc_auc (micro=0.947, macro=0.947): True False ------ ------- - 0.947 0.947 - pr_auc (micro=0.971, macro=0.861): + 0.948 0.947 + pr_auc (micro=0.971, macro=0.86): True False ------ ------- 0.727 0.994 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object'} diff --git a/model_info/eswikiquote.goodfaith.md b/model_info/eswikiquote.goodfaith.md index 9eb848f0..37907fa3 100644 --- a/model_info/eswikiquote.goodfaith.md +++ b/model_info/eswikiquote.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'label_weights': OrderedDict([(False, 10)]), 'learning_rate': 1, 'max_depth': 7, 'n_iter_no_change': None, 'presort': 'deprecated', 'loss': 'deviance', 'random_state': None, 'verbose': 0, 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'scale': True, 'warm_start': False, 'ccp_alpha': 0.0, 'min_impurity_split': None, 'criterion': 'friedman_mse', 'multilabel': False, 'population_rates': None, 'tol': 0.0001, 'min_samples_leaf': 1, 'min_weight_fraction_leaf': 0.0, 'init': None, 'n_estimators': 700, 'validation_fraction': 0.1, 'min_samples_split': 2, 'labels': [True, False], 'max_leaf_nodes': None, 'max_features': 'log2', 'center': True} + - params: {'population_rates': None, 'verbose': 0, 'subsample': 1.0, 'warm_start': False, 'min_impurity_decrease': 0.0, 'multilabel': False, 'max_features': 'log2', 'random_state': None, 'ccp_alpha': 0.0, 'init': None, 'max_leaf_nodes': None, 'tol': 0.0001, 'presort': 'deprecated', 'validation_fraction': 0.1, 'n_estimators': 700, 'loss': 'deviance', 'criterion': 'friedman_mse', 'min_samples_split': 2, 'max_depth': 7, 'learning_rate': 1, 'min_weight_fraction_leaf': 0.0, 'n_iter_no_change': None, 'min_samples_leaf': 1, 'center': True, 'labels': [True, False], 'min_impurity_split': None, 'scale': True, 'label_weights': OrderedDict([(False, 10)])} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=9758): + counts (n=9421): label n ~True ~False ------- ---- --- ------- -------- - True 9127 --> 8952 175 - False 631 --> 267 364 + True 8810 --> 8646 164 + False 611 --> 241 370 rates: True False ---------- ------ ------- sample 0.935 0.065 population 0.936 0.064 - match_rate (micro=0.888, macro=0.5): + match_rate (micro=0.886, macro=0.5): True False ------ ------- - 0.945 0.055 - filter_rate (micro=0.112, macro=0.5): + 0.944 0.056 + filter_rate (micro=0.114, macro=0.5): True False ------ ------- - 0.055 0.945 - recall (micro=0.955, macro=0.779): + 0.056 0.944 + recall (micro=0.957, macro=0.793): True False ------ ------- - 0.981 0.577 - !recall (micro=0.603, macro=0.779): + 0.981 0.606 + !recall (micro=0.63, macro=0.793): True False ------ ------- - 0.577 0.981 - precision (micro=0.952, macro=0.823): + 0.606 0.981 + precision (micro=0.955, macro=0.832): True False ------ ------- - 0.971 0.674 - !precision (micro=0.693, macro=0.823): + 0.973 0.691 + !precision (micro=0.709, macro=0.832): True False ------ ------- - 0.674 0.971 - f1 (micro=0.953, macro=0.799): + 0.691 0.973 + f1 (micro=0.956, macro=0.811): True False ------ ------- - 0.976 0.622 - !f1 (micro=0.645, macro=0.799): + 0.977 0.646 + !f1 (micro=0.667, macro=0.811): True False ------ ------- - 0.622 0.976 - accuracy (micro=0.955, macro=0.955): + 0.646 0.977 + accuracy (micro=0.957, macro=0.957): True False ------ ------- - 0.955 0.955 - fpr (micro=0.397, macro=0.221): + 0.957 0.957 + fpr (micro=0.37, macro=0.207): True False ------ ------- - 0.423 0.019 - roc_auc (micro=0.971, macro=0.93): + 0.394 0.019 + roc_auc (micro=0.971, macro=0.931): True False ------ ------- - 0.977 0.884 - pr_auc (micro=0.964, macro=0.826): + 0.977 0.885 + pr_auc (micro=0.965, macro=0.83): True False ------ ------- - 0.985 0.668 + 0.985 0.674 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} + - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/etwiki.damaging.md b/model_info/etwiki.damaging.md index 3e480d09..fe415038 100644 --- a/model_info/etwiki.damaging.md +++ b/model_info/etwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'subsample': 1.0, 'learning_rate': 0.01, 'label_weights': OrderedDict([(True, 10)]), 'n_iter_no_change': None, 'min_samples_split': 2, 'warm_start': False, 'min_impurity_decrease': 0.0, 'center': True, 'criterion': 'friedman_mse', 'random_state': None, 'min_impurity_split': None, 'population_rates': None, 'labels': [True, False], 'verbose': 0, 'multilabel': False, 'loss': 'deviance', 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'validation_fraction': 0.1, 'presort': 'deprecated', 'scale': True, 'n_estimators': 500, 'max_leaf_nodes': None, 'ccp_alpha': 0.0, 'max_depth': 7, 'min_samples_leaf': 1, 'init': None, 'max_features': 'log2'} + - params: {'min_weight_fraction_leaf': 0.0, 'init': None, 'random_state': None, 'population_rates': None, 'tol': 0.0001, 'validation_fraction': 0.1, 'n_estimators': 500, 'criterion': 'friedman_mse', 'ccp_alpha': 0.0, 'verbose': 0, 'learning_rate': 0.01, 'subsample': 1.0, 'loss': 'deviance', 'min_impurity_split': None, 'warm_start': False, 'max_leaf_nodes': None, 'multilabel': False, 'presort': 'deprecated', 'min_impurity_decrease': 0.0, 'n_iter_no_change': None, 'min_samples_leaf': 1, 'max_depth': 7, 'min_samples_split': 2, 'scale': True, 'labels': [True, False], 'max_features': 'log2', 'label_weights': OrderedDict([(True, 10)]), 'center': True} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19131): + counts (n=19126): label n ~True ~False ------- ----- --- ------- -------- - True 514 --> 306 208 - False 18617 --> 370 18247 + True 514 --> 301 213 + False 18612 --> 395 18217 rates: True False ---------- ------ ------- sample 0.027 0.973 population 0.026 0.974 - match_rate (micro=0.941, macro=0.5): + match_rate (micro=0.94, macro=0.5): True False ------ ------- - 0.035 0.965 - filter_rate (micro=0.059, macro=0.5): + 0.036 0.964 + filter_rate (micro=0.06, macro=0.5): True False ------ ------- - 0.965 0.035 - recall (micro=0.97, macro=0.788): + 0.964 0.036 + recall (micro=0.968, macro=0.782): True False ------ ------- - 0.595 0.98 - !recall (micro=0.605, macro=0.788): + 0.586 0.979 + !recall (micro=0.596, macro=0.782): True False ------ ------- - 0.98 0.595 - precision (micro=0.975, macro=0.717): + 0.979 0.586 + precision (micro=0.974, macro=0.707): True False ------ ------- - 0.446 0.989 - !precision (micro=0.46, macro=0.717): + 0.426 0.989 + !precision (micro=0.44, macro=0.707): True False ------ ------- - 0.989 0.446 - f1 (micro=0.972, macro=0.747): + 0.989 0.426 + f1 (micro=0.971, macro=0.738): True False ------ ------- - 0.51 0.985 - !f1 (micro=0.522, macro=0.747): + 0.493 0.984 + !f1 (micro=0.506, macro=0.738): True False ------ ------- - 0.985 0.51 - accuracy (micro=0.97, macro=0.97): + 0.984 0.493 + accuracy (micro=0.968, macro=0.968): True False ------ ------- - 0.97 0.97 - fpr (micro=0.395, macro=0.212): + 0.968 0.968 + fpr (micro=0.404, macro=0.218): True False ------ ------- - 0.02 0.405 + 0.021 0.414 roc_auc (micro=0.962, macro=0.961): True False ------ ------- - 0.961 0.962 - pr_auc (micro=0.988, macro=0.795): + 0.96 0.962 + pr_auc (micro=0.988, macro=0.791): True False ------ ------- - 0.591 0.999 + 0.584 0.999 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} + - score_schema: {'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/etwiki.goodfaith.md b/model_info/etwiki.goodfaith.md index 6ee9659d..813e0c60 100644 --- a/model_info/etwiki.goodfaith.md +++ b/model_info/etwiki.goodfaith.md @@ -1,27 +1,27 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'init': None, 'ccp_alpha': 0.0, 'presort': 'deprecated', 'max_leaf_nodes': None, 'subsample': 1.0, 'loss': 'deviance', 'min_weight_fraction_leaf': 0.0, 'validation_fraction': 0.1, 'criterion': 'friedman_mse', 'population_rates': None, 'center': True, 'multilabel': False, 'learning_rate': 0.01, 'max_features': 'log2', 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'warm_start': False, 'random_state': None, 'label_weights': OrderedDict([(False, 10)]), 'verbose': 0, 'n_estimators': 500, 'tol': 0.0001, 'min_samples_split': 2, 'scale': True, 'max_depth': 7, 'min_samples_leaf': 1, 'labels': [True, False], 'min_impurity_split': None} + - params: {'max_leaf_nodes': None, 'label_weights': OrderedDict([(False, 10)]), 'ccp_alpha': 0.0, 'max_features': 'log2', 'labels': [True, False], 'n_estimators': 500, 'min_impurity_split': None, 'subsample': 1.0, 'min_weight_fraction_leaf': 0.0, 'warm_start': False, 'presort': 'deprecated', 'loss': 'deviance', 'n_iter_no_change': None, 'init': None, 'center': True, 'min_impurity_decrease': 0.0, 'population_rates': None, 'random_state': None, 'verbose': 0, 'tol': 0.0001, 'learning_rate': 0.01, 'validation_fraction': 0.1, 'min_samples_split': 2, 'multilabel': False, 'scale': True, 'min_samples_leaf': 1, 'criterion': 'friedman_mse', 'max_depth': 7} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19131): + counts (n=19126): label n ~True ~False ------- ----- --- ------- -------- - True 18823 --> 18752 71 + True 18818 --> 18747 71 False 308 --> 132 176 rates: True False @@ -68,14 +68,14 @@ Model Information: True False ------ ------- 0.429 0.004 - roc_auc (micro=0.98, macro=0.979): + roc_auc (micro=0.981, macro=0.98): True False ------ ------- - 0.98 0.978 - pr_auc (micro=0.995, macro=0.848): + 0.981 0.978 + pr_auc (micro=0.995, macro=0.846): True False ------ ------- - 1 0.696 + 1 0.693 - - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}} diff --git a/model_info/fawiki.damaging.md b/model_info/fawiki.damaging.md index c796853a..0736a54a 100644 --- a/model_info/fawiki.damaging.md +++ b/model_info/fawiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_impurity_decrease': 0.0, 'init': None, 'subsample': 1.0, 'verbose': 0, 'multilabel': False, 'population_rates': None, 'scale': True, 'n_iter_no_change': None, 'n_estimators': 300, 'validation_fraction': 0.1, 'label_weights': OrderedDict([(True, 10)]), 'min_impurity_split': None, 'min_samples_leaf': 1, 'tol': 0.0001, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'learning_rate': 0.1, 'labels': [True, False], 'warm_start': False, 'max_depth': 3, 'max_leaf_nodes': None, 'loss': 'deviance', 'criterion': 'friedman_mse', 'presort': 'deprecated', 'center': True, 'max_features': 'log2', 'min_samples_split': 2} + - params: {'min_samples_split': 2, 'tol': 0.0001, 'random_state': None, 'min_impurity_decrease': 0.0, 'criterion': 'friedman_mse', 'label_weights': OrderedDict([(True, 10)]), 'loss': 'deviance', 'ccp_alpha': 0.0, 'min_samples_leaf': 1, 'max_depth': 3, 'init': None, 'labels': [True, False], 'presort': 'deprecated', 'n_estimators': 300, 'center': True, 'n_iter_no_change': None, 'max_features': 'log2', 'max_leaf_nodes': None, 'population_rates': None, 'min_impurity_split': None, 'learning_rate': 0.1, 'warm_start': False, 'validation_fraction': 0.1, 'scale': True, 'subsample': 1.0, 'verbose': 0, 'multilabel': False, 'min_weight_fraction_leaf': 0.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=38651): + counts (n=38306): label n ~True ~False ------- ----- --- ------- -------- - True 1167 --> 917 250 - False 37484 --> 2103 35381 + True 1166 --> 949 217 + False 37140 --> 2238 34902 rates: True False ---------- ------ ------- sample 0.03 0.97 population 0.03 0.97 - match_rate (micro=0.897, macro=0.5): + match_rate (micro=0.893, macro=0.5): True False ------ ------- - 0.078 0.922 - filter_rate (micro=0.103, macro=0.5): + 0.083 0.917 + filter_rate (micro=0.107, macro=0.5): True False ------ ------- - 0.922 0.078 - recall (micro=0.939, macro=0.865): + 0.917 0.083 + recall (micro=0.936, macro=0.877): True False ------ ------- - 0.786 0.944 - !recall (micro=0.79, macro=0.865): + 0.814 0.94 + !recall (micro=0.818, macro=0.877): True False ------ ------- - 0.944 0.786 - precision (micro=0.973, macro=0.647): + 0.94 0.814 + precision (micro=0.973, macro=0.643): True False ------ ------- - 0.3 0.993 - !precision (micro=0.321, macro=0.647): + 0.293 0.994 + !precision (micro=0.313, macro=0.643): True False ------ ------- - 0.993 0.3 - f1 (micro=0.952, macro=0.701): + 0.994 0.293 + f1 (micro=0.95, macro=0.698): True False ------ ------- - 0.434 0.968 - !f1 (micro=0.45, macro=0.701): + 0.43 0.966 + !f1 (micro=0.446, macro=0.698): True False ------ ------- - 0.968 0.434 - accuracy (micro=0.939, macro=0.939): + 0.966 0.43 + accuracy (micro=0.936, macro=0.936): True False ------ ------- - 0.939 0.939 - fpr (micro=0.21, macro=0.135): + 0.936 0.936 + fpr (micro=0.182, macro=0.123): True False ------ ------- - 0.056 0.214 - roc_auc (micro=0.962, macro=0.963): + 0.06 0.186 + roc_auc (micro=0.964, macro=0.964): True False ------ ------- - 0.964 0.962 - pr_auc (micro=0.981, macro=0.697): + 0.965 0.964 + pr_auc (micro=0.981, macro=0.7): True False ------ ------- - 0.394 0.999 + 0.4 0.999 - - score_schema: {'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/fawiki.goodfaith.md b/model_info/fawiki.goodfaith.md index 05218d84..597275b2 100644 --- a/model_info/fawiki.goodfaith.md +++ b/model_info/fawiki.goodfaith.md @@ -1,57 +1,57 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_impurity_decrease': 0.0, 'center': True, 'random_state': None, 'subsample': 1.0, 'n_iter_no_change': None, 'max_features': 'log2', 'min_samples_split': 2, 'min_impurity_split': None, 'warm_start': False, 'n_estimators': 500, 'tol': 0.0001, 'label_weights': OrderedDict([(False, 10)]), 'max_leaf_nodes': None, 'init': None, 'multilabel': False, 'presort': 'deprecated', 'verbose': 0, 'loss': 'deviance', 'criterion': 'friedman_mse', 'min_weight_fraction_leaf': 0.0, 'scale': True, 'validation_fraction': 0.1, 'learning_rate': 0.01, 'ccp_alpha': 0.0, 'population_rates': None, 'labels': [True, False], 'min_samples_leaf': 1, 'max_depth': 7} + - params: {'max_leaf_nodes': None, 'labels': [True, False], 'min_impurity_split': None, 'n_iter_no_change': None, 'n_estimators': 500, 'max_features': 'log2', 'verbose': 0, 'criterion': 'friedman_mse', 'subsample': 1.0, 'max_depth': 7, 'warm_start': False, 'learning_rate': 0.01, 'min_impurity_decrease': 0.0, 'scale': True, 'presort': 'deprecated', 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'validation_fraction': 0.1, 'multilabel': False, 'init': None, 'loss': 'deviance', 'population_rates': None, 'center': True, 'min_samples_split': 2, 'tol': 0.0001, 'label_weights': OrderedDict([(False, 10)]), 'min_samples_leaf': 1, 'random_state': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=38651): + counts (n=38306): label n ~True ~False ------- ----- --- ------- -------- - True 38012 --> 36846 1166 - False 639 --> 303 336 + True 37667 --> 36464 1203 + False 639 --> 294 345 rates: True False ---------- ------ ------- sample 0.983 0.017 population 0.983 0.017 - match_rate (micro=0.946, macro=0.5): + match_rate (micro=0.944, macro=0.5): True False ------ ------- - 0.961 0.039 - filter_rate (micro=0.054, macro=0.5): + 0.96 0.04 + filter_rate (micro=0.056, macro=0.5): True False ------ ------- - 0.039 0.961 - recall (micro=0.962, macro=0.748): + 0.04 0.96 + recall (micro=0.961, macro=0.754): True False ------ ------- - 0.969 0.526 - !recall (micro=0.533, macro=0.748): + 0.968 0.54 + !recall (micro=0.547, macro=0.754): True False ------ ------- - 0.526 0.969 - precision (micro=0.979, macro=0.608): + 0.54 0.968 + precision (micro=0.979, macro=0.607): True False ------ ------- - 0.992 0.224 - !precision (micro=0.236, macro=0.608): + 0.992 0.221 + !precision (micro=0.234, macro=0.607): True False ------ ------- - 0.224 0.992 + 0.221 0.992 f1 (micro=0.969, macro=0.647): True False ------ ------- @@ -60,22 +60,22 @@ Model Information: True False ------ ------- 0.314 0.98 - accuracy (micro=0.962, macro=0.962): + accuracy (micro=0.961, macro=0.961): True False ------ ------- - 0.962 0.962 - fpr (micro=0.467, macro=0.252): + 0.961 0.961 + fpr (micro=0.453, macro=0.246): True False ------ ------- - 0.474 0.031 - roc_auc (micro=0.96, macro=0.96): + 0.46 0.032 + roc_auc (micro=0.959, macro=0.959): True False ------ ------- - 0.96 0.96 - pr_auc (micro=0.987, macro=0.627): + 0.959 0.959 + pr_auc (micro=0.987, macro=0.629): True False ------ ------- - 0.999 0.254 + 0.999 0.258 - - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} diff --git a/model_info/frwiki.damaging.md b/model_info/frwiki.damaging.md index 9b2b8abc..35a6e7e3 100644 --- a/model_info/frwiki.damaging.md +++ b/model_info/frwiki.damaging.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_samples_leaf': 1, 'subsample': 1.0, 'multilabel': False, 'center': True, 'labels': [True, False], 'random_state': None, 'label_weights': OrderedDict([(True, 10)]), 'presort': 'deprecated', 'n_iter_no_change': None, 'max_depth': 7, 'loss': 'deviance', 'warm_start': False, 'learning_rate': 0.01, 'min_impurity_decrease': 0.0, 'init': None, 'min_samples_split': 2, 'ccp_alpha': 0.0, 'min_impurity_split': None, 'verbose': 0, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'max_features': 'log2', 'scale': True, 'population_rates': None, 'tol': 0.0001, 'n_estimators': 300, 'criterion': 'friedman_mse', 'min_weight_fraction_leaf': 0.0} + - params: {'max_depth': 7, 'subsample': 1.0, 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'tol': 0.0001, 'max_features': 'log2', 'scale': True, 'random_state': None, 'min_impurity_decrease': 0.0, 'labels': [True, False], 'min_samples_leaf': 1, 'multilabel': False, 'n_iter_no_change': None, 'loss': 'deviance', 'population_rates': None, 'center': True, 'criterion': 'friedman_mse', 'n_estimators': 300, 'warm_start': False, 'min_impurity_split': None, 'presort': 'deprecated', 'validation_fraction': 0.1, 'label_weights': OrderedDict([(True, 10)]), 'learning_rate': 0.01, 'max_leaf_nodes': None, 'verbose': 0, 'init': None, 'min_samples_split': 2} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=17611): + counts (n=17438): label n ~True ~False ------- ----- --- ------- -------- - True 564 --> 320 244 - False 17047 --> 666 16381 + True 562 --> 318 244 + False 16876 --> 662 16214 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.946 0.054 - recall (micro=0.95, macro=0.764): + recall (micro=0.949, macro=0.763): True False ------ ------- - 0.567 0.961 - !recall (micro=0.579, macro=0.764): + 0.566 0.961 + !recall (micro=0.577, macro=0.763): True False ------ ------- - 0.961 0.567 - precision (micro=0.967, macro=0.644): + 0.961 0.566 + precision (micro=0.967, macro=0.643): True False ------ ------- - 0.301 0.987 - !precision (micro=0.32, macro=0.644): + 0.299 0.987 + !precision (micro=0.319, macro=0.643): True False ------ ------- - 0.987 0.301 + 0.987 0.299 f1 (micro=0.957, macro=0.683): True False ------ ------- - 0.393 0.974 - !f1 (micro=0.41, macro=0.683): + 0.391 0.974 + !f1 (micro=0.408, macro=0.683): True False ------ ------- - 0.974 0.393 - accuracy (micro=0.95, macro=0.95): + 0.974 0.391 + accuracy (micro=0.949, macro=0.949): True False ------ ------- - 0.95 0.95 - fpr (micro=0.421, macro=0.236): + 0.949 0.949 + fpr (micro=0.423, macro=0.237): True False ------ ------- - 0.039 0.433 - roc_auc (micro=0.903, macro=0.903): + 0.039 0.434 + roc_auc (micro=0.904, macro=0.904): True False ------ ------- - 0.902 0.903 - pr_auc (micro=0.979, macro=0.697): + 0.904 0.904 + pr_auc (micro=0.978, macro=0.69): True False ------ ------- - 0.399 0.996 + 0.385 0.996 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} diff --git a/model_info/frwiki.goodfaith.md b/model_info/frwiki.goodfaith.md index d1c92098..6e979d6e 100644 --- a/model_info/frwiki.goodfaith.md +++ b/model_info/frwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'scale': True, 'min_samples_leaf': 1, 'min_impurity_split': None, 'max_features': 'log2', 'ccp_alpha': 0.0, 'verbose': 0, 'tol': 0.0001, 'n_estimators': 500, 'random_state': None, 'subsample': 1.0, 'min_weight_fraction_leaf': 0.0, 'max_leaf_nodes': None, 'label_weights': OrderedDict([(False, 10)]), 'init': None, 'validation_fraction': 0.1, 'center': True, 'criterion': 'friedman_mse', 'learning_rate': 0.01, 'population_rates': None, 'max_depth': 5, 'n_iter_no_change': None, 'multilabel': False, 'warm_start': False, 'min_impurity_decrease': 0.0, 'labels': [True, False], 'presort': 'deprecated', 'loss': 'deviance', 'min_samples_split': 2} + - params: {'min_weight_fraction_leaf': 0.0, 'min_impurity_split': None, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None, 'multilabel': False, 'n_estimators': 500, 'random_state': None, 'presort': 'deprecated', 'labels': [True, False], 'min_samples_leaf': 1, 'verbose': 0, 'population_rates': None, 'center': True, 'subsample': 1.0, 'loss': 'deviance', 'init': None, 'tol': 0.0001, 'scale': True, 'learning_rate': 0.01, 'criterion': 'friedman_mse', 'max_features': 'log2', 'validation_fraction': 0.1, 'min_samples_split': 2, 'label_weights': OrderedDict([(False, 10)]), 'ccp_alpha': 0.0, 'max_depth': 5, 'warm_start': False} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=17611): + counts (n=17438): label n ~True ~False ------- ----- --- ------- -------- - True 17322 --> 16959 363 - False 289 --> 111 178 + True 17150 --> 16758 392 + False 288 --> 112 176 rates: True False ---------- ------ ------- - sample 0.984 0.016 + sample 0.983 0.017 population 0.979 0.021 - match_rate (micro=0.946, macro=0.5): + match_rate (micro=0.945, macro=0.5): True False ------ ------- - 0.966 0.034 - filter_rate (micro=0.054, macro=0.5): + 0.965 0.035 + filter_rate (micro=0.055, macro=0.5): True False ------ ------- - 0.034 0.966 - recall (micro=0.971, macro=0.797): + 0.035 0.965 + recall (micro=0.969, macro=0.794): True False ------ ------- - 0.979 0.616 - !recall (micro=0.624, macro=0.797): + 0.977 0.611 + !recall (micro=0.619, macro=0.794): True False ------ ------- - 0.616 0.979 - precision (micro=0.979, macro=0.691): + 0.611 0.977 + precision (micro=0.978, macro=0.68): True False ------ ------- - 0.991 0.391 - !precision (micro=0.404, macro=0.691): + 0.991 0.369 + !precision (micro=0.382, macro=0.68): True False ------ ------- - 0.391 0.991 - f1 (micro=0.974, macro=0.732): + 0.369 0.991 + f1 (micro=0.973, macro=0.722): True False ------ ------- - 0.985 0.478 - !f1 (micro=0.489, macro=0.732): + 0.984 0.46 + !f1 (micro=0.471, macro=0.722): True False ------ ------- - 0.478 0.985 - accuracy (micro=0.971, macro=0.971): + 0.46 0.984 + accuracy (micro=0.969, macro=0.969): True False ------ ------- - 0.971 0.971 - fpr (micro=0.376, macro=0.203): + 0.969 0.969 + fpr (micro=0.381, macro=0.206): True False ------ ------- - 0.384 0.021 - roc_auc (micro=0.933, macro=0.932): + 0.389 0.023 + roc_auc (micro=0.933, macro=0.931): True False ------ ------- - 0.933 0.931 - pr_auc (micro=0.987, macro=0.742): + 0.933 0.93 + pr_auc (micro=0.987, macro=0.737): True False ------ ------- - 0.998 0.487 + 0.998 0.476 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} diff --git a/model_info/glwiki.reverted.md b/model_info/glwiki.reverted.md index c8185243..0ce798d7 100644 --- a/model_info/glwiki.reverted.md +++ b/model_info/glwiki.reverted.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'max_leaf_nodes': None, 'population_rates': None, 'min_samples_split': 2, 'center': True, 'verbose': 0, 'multilabel': False, 'n_iter_no_change': None, 'validation_fraction': 0.1, 'min_impurity_decrease': 0.0, 'presort': 'deprecated', 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'learning_rate': 0.01, 'min_samples_leaf': 7, 'criterion': 'friedman_mse', 'max_depth': 3, 'tol': 0.0001, 'init': None, 'loss': 'deviance', 'label_weights': OrderedDict([(True, 10)]), 'random_state': None, 'scale': True, 'max_features': 'log2', 'n_estimators': 700, 'labels': [True, False], 'min_impurity_split': None, 'subsample': 1.0, 'warm_start': False} + - params: {'min_samples_leaf': 7, 'verbose': 0, 'tol': 0.0001, 'presort': 'deprecated', 'ccp_alpha': 0.0, 'criterion': 'friedman_mse', 'scale': True, 'learning_rate': 0.01, 'loss': 'deviance', 'n_iter_no_change': None, 'init': None, 'min_impurity_decrease': 0.0, 'center': True, 'max_depth': 3, 'warm_start': False, 'labels': [True, False], 'label_weights': OrderedDict([(True, 10)]), 'min_impurity_split': None, 'max_features': 'log2', 'population_rates': None, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'subsample': 1.0, 'max_leaf_nodes': None, 'n_estimators': 700, 'multilabel': False, 'min_samples_split': 2, 'validation_fraction': 0.1} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=59847): + counts (n=59582): label n ~True ~False ------- ----- --- ------- -------- - True 604 --> 383 221 - False 59243 --> 785 58458 + True 641 --> 420 221 + False 58941 --> 797 58144 rates: True False ---------- ------ ------- - sample 0.01 0.99 - population 0.04 0.96 - match_rate (micro=0.924, macro=0.5): + sample 0.011 0.989 + population 0.04 0.96 + match_rate (micro=0.923, macro=0.5): True False ------ ------- - 0.038 0.962 - filter_rate (micro=0.076, macro=0.5): + 0.04 0.96 + filter_rate (micro=0.077, macro=0.5): True False ------ ------- - 0.962 0.038 - recall (micro=0.972, macro=0.81): + 0.96 0.04 + recall (micro=0.973, macro=0.821): True False ------ ------- - 0.634 0.987 - !recall (micro=0.648, macro=0.81): + 0.655 0.986 + !recall (micro=0.669, macro=0.821): True False ------ ------- - 0.987 0.634 - precision (micro=0.972, macro=0.827): + 0.986 0.655 + precision (micro=0.973, macro=0.829): True False ------ ------- - 0.669 0.985 - !precision (micro=0.682, macro=0.827): + 0.672 0.985 + !precision (micro=0.684, macro=0.829): True False ------ ------- - 0.985 0.669 - f1 (micro=0.972, macro=0.818): + 0.985 0.672 + f1 (micro=0.973, macro=0.825): True False ------ ------- - 0.651 0.986 - !f1 (micro=0.665, macro=0.818): + 0.663 0.986 + !f1 (micro=0.676, macro=0.825): True False ------ ------- - 0.986 0.651 - accuracy (micro=0.972, macro=0.972): + 0.986 0.663 + accuracy (micro=0.973, macro=0.973): True False ------ ------- - 0.972 0.972 - fpr (micro=0.352, macro=0.19): + 0.973 0.973 + fpr (micro=0.331, macro=0.179): True False ------ ------- - 0.013 0.366 - roc_auc (micro=0.951, macro=0.949): + 0.014 0.345 + roc_auc (micro=0.948, macro=0.947): True False ------ ------- - 0.948 0.951 - pr_auc (micro=0.983, macro=0.826): + 0.946 0.948 + pr_auc (micro=0.983, macro=0.822): True False ------ ------- - 0.654 0.997 + 0.648 0.997 - - score_schema: {'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/hewiki.damaging.md b/model_info/hewiki.damaging.md index 0d73be53..4fd41014 100644 --- a/model_info/hewiki.damaging.md +++ b/model_info/hewiki.damaging.md @@ -1,28 +1,28 @@ Model Information: - type: RandomForest - version: 0.5.0 - - params: {'multilabel': False, 'criterion': 'entropy', 'scale': True, 'min_impurity_split': None, 'min_weight_fraction_leaf': 0.0, 'max_samples': None, 'n_jobs': None, 'warm_start': False, 'labels': [True, False], 'n_estimators': 320, 'ccp_alpha': 0.0, 'verbose': 0, 'class_weight': None, 'min_samples_split': 2, 'bootstrap': True, 'label_weights': OrderedDict([(True, 10)]), 'max_leaf_nodes': None, 'oob_score': False, 'center': True, 'random_state': None, 'max_depth': None, 'max_features': 'log2', 'min_impurity_decrease': 0.0, 'min_samples_leaf': 1, 'population_rates': None} + - params: {'min_impurity_decrease': 0.0, 'oob_score': False, 'multilabel': False, 'criterion': 'entropy', 'labels': [True, False], 'label_weights': OrderedDict([(True, 10)]), 'warm_start': False, 'population_rates': None, 'n_estimators': 320, 'n_jobs': None, 'min_samples_leaf': 1, 'random_state': None, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'class_weight': None, 'max_depth': None, 'min_samples_split': 2, 'max_features': 'log2', 'verbose': 0, 'center': True, 'min_impurity_split': None, 'scale': True, 'max_samples': None, 'bootstrap': True, 'max_leaf_nodes': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=17690): + counts (n=17668): label n ~True ~False ------- ----- --- ------- -------- - True 580 --> 65 515 - False 17110 --> 19 17091 + True 580 --> 67 513 + False 17088 --> 20 17068 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.994 0.006 - recall (micro=0.958, macro=0.555): + recall (micro=0.958, macro=0.557): True False ------ ------- - 0.112 0.999 - !recall (micro=0.153, macro=0.555): + 0.116 0.999 + !recall (micro=0.156, macro=0.557): True False ------ ------- - 0.999 0.112 - precision (micro=0.953, macro=0.895): + 0.999 0.116 + precision (micro=0.953, macro=0.893): True False ------ ------- - 0.83 0.959 - !precision (micro=0.836, macro=0.895): + 0.827 0.959 + !precision (micro=0.833, macro=0.893): True False ------ ------- - 0.959 0.83 - f1 (micro=0.942, macro=0.588): + 0.959 0.827 + f1 (micro=0.943, macro=0.591): True False ------ ------- - 0.197 0.978 - !f1 (micro=0.234, macro=0.588): + 0.203 0.978 + !f1 (micro=0.239, macro=0.591): True False ------ ------- - 0.978 0.197 + 0.978 0.203 accuracy (micro=0.958, macro=0.958): True False ------ ------- 0.958 0.958 - fpr (micro=0.847, macro=0.445): + fpr (micro=0.844, macro=0.443): True False ------ ------- - 0.001 0.888 - roc_auc (micro=0.899, macro=0.897): + 0.001 0.884 + roc_auc (micro=0.89, macro=0.889): True False ------ ------- - 0.896 0.899 - pr_auc (micro=0.968, macro=0.727): + 0.887 0.891 + pr_auc (micro=0.967, macro=0.73): True False ------ ------- - 0.462 0.993 + 0.468 0.991 - - score_schema: {'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/hewiki.goodfaith.md b/model_info/hewiki.goodfaith.md index 07cba19f..55126e47 100644 --- a/model_info/hewiki.goodfaith.md +++ b/model_info/hewiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'validation_fraction': 0.1, 'labels': [True, False], 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'max_features': 'log2', 'learning_rate': 0.1, 'scale': True, 'verbose': 0, 'population_rates': None, 'center': True, 'n_iter_no_change': None, 'tol': 0.0001, 'multilabel': False, 'min_impurity_split': None, 'loss': 'deviance', 'min_samples_leaf': 1, 'random_state': None, 'min_samples_split': 2, 'criterion': 'friedman_mse', 'max_depth': 7, 'presort': 'deprecated', 'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(False, 10)]), 'subsample': 1.0, 'ccp_alpha': 0.0, 'n_estimators': 300, 'init': None, 'warm_start': False} + - params: {'n_estimators': 300, 'subsample': 1.0, 'max_features': 'log2', 'population_rates': None, 'verbose': 0, 'criterion': 'friedman_mse', 'learning_rate': 0.1, 'ccp_alpha': 0.0, 'multilabel': False, 'warm_start': False, 'label_weights': OrderedDict([(False, 10)]), 'center': True, 'init': None, 'max_depth': 7, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'tol': 0.0001, 'labels': [True, False], 'min_impurity_split': None, 'scale': True, 'min_impurity_decrease': 0.0, 'min_samples_leaf': 1, 'loss': 'deviance', 'min_samples_split': 2, 'presort': 'deprecated', 'min_weight_fraction_leaf': 0.0, 'n_iter_no_change': None, 'random_state': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=17690): + counts (n=17668): label n ~True ~False ------- ----- --- ------- -------- - True 17393 --> 17356 37 - False 297 --> 238 59 + True 17371 --> 17342 29 + False 297 --> 242 55 rates: True False ---------- ------ ------- @@ -31,51 +31,51 @@ Model Information: match_rate (micro=0.965, macro=0.5): True False ------ ------- - 0.992 0.008 + 0.993 0.007 filter_rate (micro=0.035, macro=0.5): True False ------ ------- - 0.008 0.992 - recall (micro=0.975, macro=0.598): + 0.007 0.993 + recall (micro=0.975, macro=0.592): True False ------ ------- - 0.998 0.199 - !recall (micro=0.221, macro=0.598): + 0.998 0.185 + !recall (micro=0.208, macro=0.592): True False ------ ------- - 0.199 0.998 - precision (micro=0.97, macro=0.854): + 0.185 0.998 + precision (micro=0.971, macro=0.87): True False ------ ------- - 0.977 0.73 - !precision (micro=0.737, macro=0.854): + 0.977 0.763 + !precision (micro=0.769, macro=0.87): True False ------ ------- - 0.73 0.977 - f1 (micro=0.968, macro=0.65): + 0.763 0.977 + f1 (micro=0.968, macro=0.643): True False ------ ------- - 0.987 0.312 - !f1 (micro=0.331, macro=0.65): + 0.987 0.298 + !f1 (micro=0.317, macro=0.643): True False ------ ------- - 0.312 0.987 + 0.298 0.987 accuracy (micro=0.975, macro=0.975): True False ------ ------- 0.975 0.975 - fpr (micro=0.779, macro=0.402): + fpr (micro=0.792, macro=0.408): True False ------ ------- - 0.801 0.002 - roc_auc (micro=0.959, macro=0.926): + 0.815 0.002 + roc_auc (micro=0.957, macro=0.923): True False ------ ------- - 0.96 0.891 - pr_auc (micro=0.979, macro=0.721): + 0.959 0.887 + pr_auc (micro=0.979, macro=0.717): True False ------ ------- - 0.994 0.448 + 0.994 0.439 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object'} diff --git a/model_info/hrwiki.reverted.md b/model_info/hrwiki.reverted.md index dbaa555b..efbac9e9 100644 --- a/model_info/hrwiki.reverted.md +++ b/model_info/hrwiki.reverted.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'presort': 'deprecated', 'init': None, 'loss': 'deviance', 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'criterion': 'friedman_mse', 'multilabel': False, 'labels': [True, False], 'population_rates': None, 'min_samples_split': 2, 'label_weights': OrderedDict([(True, 10)]), 'verbose': 0, 'subsample': 1.0, 'ccp_alpha': 0.0, 'min_impurity_decrease': 0.0, 'max_features': 'log2', 'min_samples_leaf': 1, 'max_depth': 3, 'n_iter_no_change': None, 'tol': 0.0001, 'warm_start': False, 'scale': True, 'center': True, 'min_impurity_split': None, 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.1, 'n_estimators': 300, 'random_state': None} + - params: {'center': True, 'ccp_alpha': 0.0, 'random_state': None, 'population_rates': None, 'max_features': 'log2', 'presort': 'deprecated', 'min_samples_split': 2, 'subsample': 1.0, 'tol': 0.0001, 'min_samples_leaf': 1, 'min_weight_fraction_leaf': 0.0, 'max_leaf_nodes': None, 'learning_rate': 0.1, 'n_iter_no_change': None, 'verbose': 0, 'scale': True, 'min_impurity_split': None, 'max_depth': 3, 'warm_start': False, 'loss': 'deviance', 'label_weights': OrderedDict([(True, 10)]), 'labels': [True, False], 'validation_fraction': 0.1, 'multilabel': False, 'init': None, 'min_impurity_decrease': 0.0, 'n_estimators': 300, 'criterion': 'friedman_mse'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19684): + counts (n=19601): label n ~True ~False ------- ----- --- ------- -------- - True 1452 --> 1241 211 - False 18232 --> 2524 15708 + True 1453 --> 1171 282 + False 18148 --> 2242 15906 rates: True False ---------- ------ ------- sample 0.074 0.926 population 0.079 0.921 - match_rate (micro=0.756, macro=0.5): + match_rate (micro=0.771, macro=0.5): True False ------ ------- - 0.195 0.805 - filter_rate (micro=0.244, macro=0.5): + 0.178 0.822 + filter_rate (micro=0.229, macro=0.5): True False ------ ------- - 0.805 0.195 - recall (micro=0.861, macro=0.858): + 0.822 0.178 + recall (micro=0.871, macro=0.841): True False ------ ------- - 0.855 0.862 - !recall (micro=0.855, macro=0.858): + 0.806 0.876 + !recall (micro=0.812, macro=0.841): True False ------ ------- - 0.862 0.855 - precision (micro=0.935, macro=0.666): + 0.876 0.806 + precision (micro=0.932, macro=0.67): True False ------ ------- - 0.347 0.986 - !precision (micro=0.398, macro=0.666): + 0.36 0.981 + !precision (micro=0.409, macro=0.67): True False ------ ------- - 0.986 0.347 - f1 (micro=0.886, macro=0.707): + 0.981 0.36 + f1 (micro=0.892, macro=0.712): True False ------ ------- - 0.494 0.919 - !f1 (micro=0.527, macro=0.707): + 0.497 0.926 + !f1 (micro=0.531, macro=0.712): True False ------ ------- - 0.919 0.494 - accuracy (micro=0.861, macro=0.861): + 0.926 0.497 + accuracy (micro=0.871, macro=0.871): True False ------ ------- - 0.861 0.861 - fpr (micro=0.145, macro=0.142): + 0.871 0.871 + fpr (micro=0.188, macro=0.159): True False ------ ------- - 0.138 0.145 - roc_auc (micro=0.923, macro=0.923): + 0.124 0.194 + roc_auc (micro=0.914, macro=0.914): True False ------ ------- - 0.922 0.923 - pr_auc (micro=0.956, macro=0.76): + 0.915 0.914 + pr_auc (micro=0.952, macro=0.745): True False ------ ------- - 0.527 0.992 + 0.497 0.992 - - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} diff --git a/model_info/huwiki.damaging.md b/model_info/huwiki.damaging.md index 075d23fc..a5697294 100644 --- a/model_info/huwiki.damaging.md +++ b/model_info/huwiki.damaging.md @@ -1,32 +1,32 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'learning_rate': 0.01, 'center': True, 'min_samples_split': 2, 'multilabel': False, 'max_depth': 5, 'tol': 0.0001, 'loss': 'deviance', 'population_rates': None, 'scale': True, 'subsample': 1.0, 'max_leaf_nodes': None, 'min_impurity_split': None, 'verbose': 0, 'labels': [True, False], 'random_state': None, 'n_iter_no_change': None, 'max_features': 'log2', 'label_weights': OrderedDict([(True, 10)]), 'n_estimators': 500, 'min_impurity_decrease': 0.0, 'presort': 'deprecated', 'init': None, 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'min_samples_leaf': 1, 'criterion': 'friedman_mse', 'validation_fraction': 0.1, 'warm_start': False} + - params: {'min_weight_fraction_leaf': 0.0, 'population_rates': None, 'min_samples_leaf': 1, 'min_impurity_decrease': 0.0, 'n_estimators': 500, 'verbose': 0, 'n_iter_no_change': None, 'tol': 0.0001, 'subsample': 1.0, 'min_impurity_split': None, 'criterion': 'friedman_mse', 'labels': [True, False], 'max_depth': 5, 'max_features': 'log2', 'scale': True, 'init': None, 'presort': 'deprecated', 'center': True, 'ccp_alpha': 0.0, 'learning_rate': 0.01, 'multilabel': False, 'loss': 'deviance', 'warm_start': False, 'min_samples_split': 2, 'validation_fraction': 0.1, 'max_leaf_nodes': None, 'random_state': None, 'label_weights': OrderedDict([(True, 10)])} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=37694): + counts (n=37408): label n ~True ~False ------- ----- --- ------- -------- - True 357 --> 230 127 - False 37337 --> 571 36766 + True 357 --> 226 131 + False 37051 --> 575 36476 rates: True False ---------- ------ ------- - sample 0.009 0.991 + sample 0.01 0.99 population 0.011 0.989 match_rate (micro=0.967, macro=0.5): True False @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.978 0.022 - recall (micro=0.981, macro=0.814): + recall (micro=0.981, macro=0.809): True False ------ ------- - 0.644 0.985 - !recall (micro=0.648, macro=0.814): + 0.633 0.984 + !recall (micro=0.637, macro=0.809): True False ------ ------- - 0.985 0.644 - precision (micro=0.989, macro=0.657): + 0.984 0.633 + precision (micro=0.988, macro=0.653): True False ------ ------- - 0.318 0.996 - !precision (micro=0.325, macro=0.657): + 0.311 0.996 + !precision (micro=0.318, macro=0.653): True False ------ ------- - 0.996 0.318 - f1 (micro=0.984, macro=0.708): + 0.996 0.311 + f1 (micro=0.984, macro=0.704): True False ------ ------- - 0.426 0.99 - !f1 (micro=0.432, macro=0.708): + 0.417 0.99 + !f1 (micro=0.423, macro=0.704): True False ------ ------- - 0.99 0.426 + 0.99 0.417 accuracy (micro=0.981, macro=0.981): True False ------ ------- 0.981 0.981 - fpr (micro=0.352, macro=0.186): + fpr (micro=0.363, macro=0.191): True False ------ ------- - 0.015 0.356 - roc_auc (micro=0.965, macro=0.964): + 0.016 0.367 + roc_auc (micro=0.964, macro=0.963): True False ------ ------- - 0.962 0.965 - pr_auc (micro=0.994, macro=0.731): + 0.962 0.964 + pr_auc (micro=0.994, macro=0.73): True False ------ ------- - 0.462 1 + 0.461 1 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object'} diff --git a/model_info/huwiki.goodfaith.md b/model_info/huwiki.goodfaith.md index 25edef9a..a512e022 100644 --- a/model_info/huwiki.goodfaith.md +++ b/model_info/huwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'min_weight_fraction_leaf': 0.0, 'population_rates': None, 'scale': True, 'multilabel': False, 'presort': 'deprecated', 'labels': [True, False], 'random_state': None, 'label_weights': OrderedDict([(False, 10)]), 'center': True, 'ccp_alpha': 0.0, 'max_depth': 5, 'learning_rate': 0.01, 'min_samples_split': 2, 'n_iter_no_change': None, 'max_leaf_nodes': None, 'tol': 0.0001, 'min_impurity_split': None, 'n_estimators': 500, 'min_impurity_decrease': 0.0, 'init': None, 'loss': 'deviance', 'subsample': 1.0, 'max_features': 'log2', 'min_samples_leaf': 1, 'validation_fraction': 0.1, 'criterion': 'friedman_mse', 'verbose': 0, 'warm_start': False} + - params: {'init': None, 'label_weights': OrderedDict([(False, 10)]), 'multilabel': False, 'criterion': 'friedman_mse', 'min_samples_leaf': 1, 'verbose': 0, 'min_impurity_decrease': 0.0, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'tol': 0.0001, 'warm_start': False, 'learning_rate': 0.01, 'ccp_alpha': 0.0, 'n_iter_no_change': None, 'max_features': 'log2', 'max_depth': 5, 'center': True, 'population_rates': None, 'loss': 'deviance', 'max_leaf_nodes': None, 'subsample': 1.0, 'random_state': None, 'labels': [True, False], 'min_samples_split': 2, 'n_estimators': 500, 'min_impurity_split': None, 'presort': 'deprecated', 'scale': True} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=37694): + counts (n=37408): label n ~True ~False ------- ----- --- ------- -------- - True 37392 --> 36936 456 - False 302 --> 116 186 + True 37106 --> 36627 479 + False 302 --> 122 180 rates: True False ---------- ------ ------- sample 0.992 0.008 population 0.992 0.008 - match_rate (micro=0.976, macro=0.5): + match_rate (micro=0.975, macro=0.5): True False ------ ------- 0.983 0.017 - filter_rate (micro=0.024, macro=0.5): + filter_rate (micro=0.025, macro=0.5): True False ------ ------- 0.017 0.983 - recall (micro=0.985, macro=0.802): + recall (micro=0.984, macro=0.792): True False ------ ------- - 0.988 0.616 - !recall (micro=0.619, macro=0.802): + 0.987 0.596 + !recall (micro=0.599, macro=0.792): True False ------ ------- - 0.616 0.988 - precision (micro=0.991, macro=0.64): + 0.596 0.987 + precision (micro=0.991, macro=0.631): True False ------ ------- - 0.997 0.284 - !precision (micro=0.289, macro=0.64): + 0.997 0.266 + !precision (micro=0.272, macro=0.631): True False ------ ------- - 0.284 0.997 - f1 (micro=0.988, macro=0.69): + 0.266 0.997 + f1 (micro=0.987, macro=0.68): True False ------ ------- - 0.992 0.389 - !f1 (micro=0.393, macro=0.69): + 0.992 0.368 + !f1 (micro=0.373, macro=0.68): True False ------ ------- - 0.389 0.992 - accuracy (micro=0.985, macro=0.985): + 0.368 0.992 + accuracy (micro=0.984, macro=0.984): True False ------ ------- - 0.985 0.985 - fpr (micro=0.381, macro=0.198): + 0.984 0.984 + fpr (micro=0.401, macro=0.208): True False ------ ------- - 0.384 0.012 - roc_auc (micro=0.96, macro=0.96): + 0.404 0.013 + roc_auc (micro=0.96, macro=0.959): True False ------ ------- - 0.96 0.96 + 0.96 0.959 pr_auc (micro=0.995, macro=0.721): True False ------ ------- 1 0.442 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/idwiki.reverted.md b/model_info/idwiki.reverted.md index 635a7e5f..d1e13cd7 100644 --- a/model_info/idwiki.reverted.md +++ b/model_info/idwiki.reverted.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'tol': 0.0001, 'init': None, 'max_features': 'log2', 'labels': [True, False], 'min_samples_leaf': 1, 'population_rates': None, 'max_leaf_nodes': None, 'criterion': 'friedman_mse', 'verbose': 0, 'validation_fraction': 0.1, 'center': True, 'min_samples_split': 2, 'random_state': None, 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'multilabel': False, 'learning_rate': 0.01, 'scale': True, 'presort': 'deprecated', 'loss': 'deviance', 'n_estimators': 700, 'max_depth': 5, 'min_impurity_split': None, 'ccp_alpha': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'min_weight_fraction_leaf': 0.0, 'n_iter_no_change': None, 'warm_start': False} + - params: {'population_rates': None, 'ccp_alpha': 0.0, 'n_estimators': 700, 'center': True, 'tol': 0.0001, 'min_impurity_decrease': 0.0, 'scale': True, 'max_features': 'log2', 'labels': [True, False], 'loss': 'deviance', 'min_impurity_split': None, 'init': None, 'n_iter_no_change': None, 'min_samples_leaf': 1, 'max_leaf_nodes': None, 'label_weights': OrderedDict([(True, 10)]), 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'multilabel': False, 'min_samples_split': 2, 'criterion': 'friedman_mse', 'validation_fraction': 0.1, 'learning_rate': 0.01, 'presort': 'deprecated', 'max_depth': 5, 'verbose': 0, 'warm_start': False, 'subsample': 1.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=97922): + counts (n=97698): label n ~True ~False ------- ----- --- ------- -------- - True 2009 --> 1185 824 - False 95913 --> 4546 91367 + True 2147 --> 1179 968 + False 95551 --> 4540 91011 rates: True False ---------- ------ ------- - sample 0.021 0.979 + sample 0.022 0.978 population 0.023 0.977 - match_rate (micro=0.92, macro=0.5): + match_rate (micro=0.921, macro=0.5): True False ------ ------- - 0.06 0.94 - filter_rate (micro=0.08, macro=0.5): + 0.059 0.941 + filter_rate (micro=0.079, macro=0.5): True False ------ ------- - 0.94 0.06 - recall (micro=0.944, macro=0.771): + 0.941 0.059 + recall (micro=0.943, macro=0.751): True False ------ ------- - 0.59 0.953 - !recall (micro=0.598, macro=0.771): + 0.549 0.952 + !recall (micro=0.558, macro=0.751): True False ------ ------- - 0.953 0.59 - precision (micro=0.973, macro=0.607): + 0.952 0.549 + precision (micro=0.971, macro=0.6): True False ------ ------- - 0.224 0.99 - !precision (micro=0.242, macro=0.607): + 0.212 0.989 + !precision (micro=0.229, macro=0.6): True False ------ ------- - 0.99 0.224 - f1 (micro=0.956, macro=0.648): + 0.989 0.212 + f1 (micro=0.955, macro=0.638): True False ------ ------- - 0.325 0.971 - !f1 (micro=0.34, macro=0.648): + 0.306 0.97 + !f1 (micro=0.321, macro=0.638): True False ------ ------- - 0.971 0.325 - accuracy (micro=0.944, macro=0.944): + 0.97 0.306 + accuracy (micro=0.943, macro=0.943): True False ------ ------- - 0.944 0.944 - fpr (micro=0.402, macro=0.229): + 0.943 0.943 + fpr (micro=0.442, macro=0.249): True False ------ ------- - 0.047 0.41 - roc_auc (micro=0.929, macro=0.93): + 0.048 0.451 + roc_auc (micro=0.921, macro=0.921): True False ------ ------- - 0.93 0.929 - pr_auc (micro=0.982, macro=0.639): + 0.922 0.921 + pr_auc (micro=0.981, macro=0.628): True False ------ ------- - 0.28 0.998 + 0.257 0.998 - - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} diff --git a/model_info/iswiki.reverted.md b/model_info/iswiki.reverted.md index c067cd7c..b97a40d3 100644 --- a/model_info/iswiki.reverted.md +++ b/model_info/iswiki.reverted.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'presort': 'deprecated', 'scale': True, 'warm_start': False, 'min_samples_leaf': 1, 'subsample': 1.0, 'loss': 'deviance', 'verbose': 0, 'center': True, 'n_iter_no_change': None, 'learning_rate': 0.1, 'label_weights': OrderedDict([(True, 10)]), 'init': None, 'ccp_alpha': 0.0, 'random_state': None, 'max_leaf_nodes': None, 'tol': 0.0001, 'population_rates': None, 'validation_fraction': 0.1, 'max_features': 'log2', 'min_weight_fraction_leaf': 0.0, 'multilabel': False, 'min_impurity_split': None, 'min_samples_split': 2, 'criterion': 'friedman_mse', 'labels': [True, False], 'n_estimators': 300, 'max_depth': 7, 'min_impurity_decrease': 0.0} + - params: {'random_state': None, 'max_features': 'log2', 'labels': [True, False], 'init': None, 'ccp_alpha': 0.0, 'n_estimators': 300, 'n_iter_no_change': None, 'verbose': 0, 'validation_fraction': 0.1, 'population_rates': None, 'min_impurity_decrease': 0.0, 'loss': 'deviance', 'min_samples_split': 2, 'center': True, 'presort': 'deprecated', 'min_samples_leaf': 1, 'learning_rate': 0.1, 'multilabel': False, 'subsample': 1.0, 'scale': True, 'criterion': 'friedman_mse', 'max_leaf_nodes': None, 'max_depth': 7, 'min_weight_fraction_leaf': 0.0, 'warm_start': False, 'label_weights': OrderedDict([(True, 10)]), 'min_impurity_split': None, 'tol': 0.0001} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19832): + counts (n=19807): label n ~True ~False ------- ----- --- ------- -------- - True 1443 --> 947 496 - False 18389 --> 687 17702 + True 1471 --> 973 498 + False 18336 --> 728 17608 rates: True False ---------- ------ ------- - sample 0.073 0.927 + sample 0.074 0.926 population 0.081 0.919 - match_rate (micro=0.845, macro=0.5): + match_rate (micro=0.843, macro=0.5): True False ------ ------- - 0.088 0.912 - filter_rate (micro=0.155, macro=0.5): + 0.09 0.91 + filter_rate (micro=0.157, macro=0.5): True False ------ ------- - 0.912 0.088 - recall (micro=0.938, macro=0.809): + 0.91 0.09 + recall (micro=0.936, macro=0.811): True False ------ ------- - 0.656 0.963 - !recall (micro=0.681, macro=0.809): + 0.661 0.96 + !recall (micro=0.686, macro=0.811): True False ------ ------- - 0.963 0.656 - precision (micro=0.94, macro=0.789): + 0.96 0.661 + precision (micro=0.939, macro=0.783): True False ------ ------- - 0.608 0.969 - !precision (micro=0.637, macro=0.789): + 0.595 0.97 + !precision (micro=0.626, macro=0.783): True False ------ ------- - 0.969 0.608 - f1 (micro=0.939, macro=0.799): + 0.97 0.595 + f1 (micro=0.938, macro=0.796): True False ------ ------- - 0.631 0.966 - !f1 (micro=0.658, macro=0.799): + 0.627 0.965 + !f1 (micro=0.654, macro=0.796): True False ------ ------- - 0.966 0.631 - accuracy (micro=0.938, macro=0.938): + 0.965 0.627 + accuracy (micro=0.936, macro=0.936): True False ------ ------- - 0.938 0.938 - fpr (micro=0.319, macro=0.191): + 0.936 0.936 + fpr (micro=0.314, macro=0.189): True False ------ ------- - 0.037 0.344 - roc_auc (micro=0.944, macro=0.943): + 0.04 0.339 + roc_auc (micro=0.94, macro=0.938): True False ------ ------- - 0.942 0.944 - pr_auc (micro=0.965, macro=0.819): + 0.937 0.94 + pr_auc (micro=0.964, macro=0.813): True False ------ ------- - 0.643 0.994 + 0.634 0.993 - - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} diff --git a/model_info/itwiki.damaging.md b/model_info/itwiki.damaging.md index 18e7aa1a..53ad8323 100644 --- a/model_info/itwiki.damaging.md +++ b/model_info/itwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_samples_split': 2, 'min_samples_leaf': 1, 'max_depth': 7, 'presort': 'deprecated', 'ccp_alpha': 0.0, 'random_state': None, 'init': None, 'population_rates': None, 'n_iter_no_change': None, 'label_weights': OrderedDict([(True, 10)]), 'multilabel': False, 'warm_start': False, 'min_impurity_decrease': 0.0, 'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'max_features': 'log2', 'validation_fraction': 0.1, 'subsample': 1.0, 'tol': 0.0001, 'max_leaf_nodes': None, 'min_impurity_split': None, 'learning_rate': 0.01, 'center': True, 'criterion': 'friedman_mse', 'scale': True, 'n_estimators': 700, 'labels': [True, False], 'loss': 'deviance'} + - params: {'warm_start': False, 'min_samples_split': 2, 'min_impurity_decrease': 0.0, 'subsample': 1.0, 'labels': [True, False], 'n_iter_no_change': None, 'validation_fraction': 0.1, 'center': True, 'max_features': 'log2', 'learning_rate': 0.01, 'scale': True, 'presort': 'deprecated', 'label_weights': OrderedDict([(True, 10)]), 'max_leaf_nodes': None, 'min_samples_leaf': 1, 'loss': 'deviance', 'population_rates': None, 'verbose': 0, 'ccp_alpha': 0.0, 'tol': 0.0001, 'min_impurity_split': None, 'max_depth': 7, 'criterion': 'friedman_mse', 'init': None, 'multilabel': False, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'n_estimators': 700} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18515): + counts (n=18400): label n ~True ~False ------- ----- --- ------- -------- - True 715 --> 391 324 - False 17800 --> 1062 16738 + True 713 --> 383 330 + False 17687 --> 1029 16658 rates: True False ---------- ------ ------- sample 0.039 0.961 population 0.039 0.961 - match_rate (micro=0.889, macro=0.5): + match_rate (micro=0.891, macro=0.5): True False ------ ------- - 0.079 0.921 - filter_rate (micro=0.111, macro=0.5): + 0.077 0.923 + filter_rate (micro=0.109, macro=0.5): True False ------ ------- - 0.921 0.079 - recall (micro=0.925, macro=0.744): + 0.923 0.077 + recall (micro=0.926, macro=0.739): True False ------ ------- - 0.547 0.94 - !recall (micro=0.562, macro=0.744): + 0.537 0.942 + !recall (micro=0.553, macro=0.739): True False ------ ------- - 0.94 0.547 - precision (micro=0.953, macro=0.625): + 0.942 0.537 + precision (micro=0.953, macro=0.626): True False ------ ------- - 0.269 0.981 - !precision (micro=0.297, macro=0.625): + 0.271 0.981 + !precision (micro=0.298, macro=0.626): True False ------ ------- - 0.981 0.269 - f1 (micro=0.937, macro=0.661): + 0.981 0.271 + f1 (micro=0.938, macro=0.66): True False ------ ------- - 0.361 0.96 - !f1 (micro=0.384, macro=0.661): + 0.36 0.961 + !f1 (micro=0.383, macro=0.66): True False ------ ------- - 0.96 0.361 - accuracy (micro=0.925, macro=0.925): + 0.961 0.36 + accuracy (micro=0.926, macro=0.926): True False ------ ------- - 0.925 0.925 - fpr (micro=0.438, macro=0.256): + 0.926 0.926 + fpr (micro=0.447, macro=0.261): True False ------ ------- - 0.06 0.453 - roc_auc (micro=0.918, macro=0.92): + 0.058 0.463 + roc_auc (micro=0.922, macro=0.923): True False ------ ------- - 0.921 0.918 - pr_auc (micro=0.973, macro=0.689): + 0.923 0.922 + pr_auc (micro=0.973, macro=0.696): True False ------ ------- - 0.382 0.997 + 0.396 0.997 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/itwiki.goodfaith.md b/model_info/itwiki.goodfaith.md index 5729befd..0f1a432b 100644 --- a/model_info/itwiki.goodfaith.md +++ b/model_info/itwiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'presort': 'deprecated', 'learning_rate': 0.01, 'n_estimators': 700, 'center': True, 'tol': 0.0001, 'scale': True, 'validation_fraction': 0.1, 'multilabel': False, 'min_samples_split': 2, 'label_weights': OrderedDict([(False, 10)]), 'subsample': 1.0, 'init': None, 'max_depth': 7, 'criterion': 'friedman_mse', 'min_samples_leaf': 1, 'min_impurity_split': None, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'loss': 'deviance', 'max_features': 'log2', 'max_leaf_nodes': None, 'n_iter_no_change': None, 'population_rates': None, 'random_state': None, 'warm_start': False, 'verbose': 0, 'labels': [True, False], 'min_impurity_decrease': 0.0} + - params: {'scale': True, 'label_weights': OrderedDict([(False, 10)]), 'random_state': None, 'ccp_alpha': 0.0, 'validation_fraction': 0.1, 'presort': 'deprecated', 'max_depth': 7, 'min_impurity_split': None, 'min_impurity_decrease': 0.0, 'criterion': 'friedman_mse', 'learning_rate': 0.01, 'max_features': 'log2', 'n_estimators': 700, 'n_iter_no_change': None, 'tol': 0.0001, 'multilabel': False, 'population_rates': None, 'loss': 'deviance', 'verbose': 0, 'labels': [True, False], 'warm_start': False, 'init': None, 'min_samples_leaf': 1, 'min_samples_split': 2, 'max_leaf_nodes': None, 'min_weight_fraction_leaf': 0.0, 'center': True, 'subsample': 1.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18515): + counts (n=18400): label n ~True ~False ------- ----- --- ------- -------- - True 18160 --> 17997 163 - False 355 --> 224 131 + True 18046 --> 17880 166 + False 354 --> 224 130 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.016 0.984 - recall (micro=0.979, macro=0.68): + recall (micro=0.979, macro=0.679): True False ------ ------- - 0.991 0.369 - !recall (micro=0.381, macro=0.68): + 0.991 0.367 + !recall (micro=0.379, macro=0.679): True False ------ ------- - 0.369 0.991 - precision (micro=0.977, macro=0.717): + 0.367 0.991 + precision (micro=0.977, macro=0.713): True False ------ ------- - 0.988 0.446 - !precision (micro=0.457, macro=0.717): + 0.988 0.439 + !precision (micro=0.45, macro=0.713): True False ------ ------- - 0.446 0.988 - f1 (micro=0.978, macro=0.697): + 0.439 0.988 + f1 (micro=0.978, macro=0.695): True False ------ ------- - 0.989 0.404 - !f1 (micro=0.415, macro=0.697): + 0.989 0.4 + !f1 (micro=0.411, macro=0.695): True False ------ ------- - 0.404 0.989 + 0.4 0.989 accuracy (micro=0.979, macro=0.979): True False ------ ------- 0.979 0.979 - fpr (micro=0.619, macro=0.32): + fpr (micro=0.621, macro=0.321): True False ------ ------- - 0.631 0.009 + 0.633 0.009 roc_auc (micro=0.941, macro=0.941): True False ------ ------- - 0.941 0.941 - pr_auc (micro=0.987, macro=0.703): + 0.94 0.942 + pr_auc (micro=0.987, macro=0.708): True False ------ ------- - 0.999 0.408 + 0.999 0.418 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} diff --git a/model_info/jawiki.damaging.md b/model_info/jawiki.damaging.md index 9bd2b45c..2c1f9f2a 100644 --- a/model_info/jawiki.damaging.md +++ b/model_info/jawiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_samples_leaf': 3, 'criterion': 'friedman_mse', 'loss': 'deviance', 'ccp_alpha': 0.0, 'verbose': 0, 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'n_iter_no_change': None, 'scale': True, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'presort': 'deprecated', 'max_features': 'log2', 'label_weights': OrderedDict([(True, 10)]), 'max_depth': 1, 'population_rates': None, 'subsample': 1.0, 'random_state': None, 'warm_start': False, 'min_impurity_split': None, 'multilabel': False, 'min_samples_split': 2, 'learning_rate': 0.1, 'labels': [True, False], 'center': True, 'init': None, 'n_estimators': 300, 'tol': 0.0001} + - params: {'init': None, 'multilabel': False, 'n_estimators': 300, 'warm_start': False, 'min_impurity_split': None, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'verbose': 0, 'tol': 0.0001, 'subsample': 1.0, 'n_iter_no_change': None, 'center': True, 'presort': 'deprecated', 'random_state': None, 'min_samples_leaf': 3, 'min_samples_split': 2, 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None, 'criterion': 'friedman_mse', 'scale': True, 'labels': [True, False], 'max_depth': 1, 'loss': 'deviance', 'max_leaf_nodes': None, 'learning_rate': 0.1, 'validation_fraction': 0.1, 'max_features': 'log2'} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=27850): + counts (n=27643): label n ~True ~False ------- ----- --- ------- -------- - True 298 --> 43 255 - False 27552 --> 208 27344 + True 298 --> 37 261 + False 27345 --> 195 27150 rates: True False ---------- ------ ------- sample 0.011 0.989 population 0.011 0.989 - match_rate (micro=0.98, macro=0.5): + match_rate (micro=0.981, macro=0.5): True False ------ ------- - 0.009 0.991 - filter_rate (micro=0.02, macro=0.5): + 0.008 0.992 + filter_rate (micro=0.019, macro=0.5): True False ------ ------- - 0.991 0.009 - recall (micro=0.983, macro=0.568): + 0.992 0.008 + recall (micro=0.984, macro=0.559): True False ------ ------- - 0.144 0.992 - !recall (micro=0.153, macro=0.568): + 0.124 0.993 + !recall (micro=0.134, macro=0.559): True False ------ ------- - 0.992 0.144 - precision (micro=0.982, macro=0.581): + 0.993 0.124 + precision (micro=0.982, macro=0.575): True False ------ ------- - 0.172 0.991 - !precision (micro=0.181, macro=0.581): + 0.159 0.99 + !precision (micro=0.168, macro=0.575): True False ------ ------- - 0.991 0.172 - f1 (micro=0.983, macro=0.574): + 0.99 0.159 + f1 (micro=0.983, macro=0.566): True False ------ ------- - 0.157 0.992 - !f1 (micro=0.166, macro=0.574): + 0.14 0.992 + !f1 (micro=0.149, macro=0.566): True False ------ ------- - 0.992 0.157 - accuracy (micro=0.983, macro=0.983): + 0.992 0.14 + accuracy (micro=0.984, macro=0.984): True False ------ ------- - 0.983 0.983 - fpr (micro=0.847, macro=0.432): + 0.984 0.984 + fpr (micro=0.866, macro=0.441): True False ------ ------- - 0.008 0.856 - roc_auc (micro=0.853, macro=0.853): + 0.007 0.876 + roc_auc (micro=0.85, macro=0.85): True False ------ ------- - 0.854 0.853 - pr_auc (micro=0.988, macro=0.545): + 0.849 0.85 + pr_auc (micro=0.988, macro=0.539): True False ------ ------- - 0.092 0.998 + 0.08 0.998 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} diff --git a/model_info/jawiki.goodfaith.md b/model_info/jawiki.goodfaith.md index a570b4b1..220fd045 100644 --- a/model_info/jawiki.goodfaith.md +++ b/model_info/jawiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'center': True, 'min_samples_split': 2, 'tol': 0.0001, 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'loss': 'deviance', 'criterion': 'friedman_mse', 'min_weight_fraction_leaf': 0.0, 'subsample': 1.0, 'multilabel': False, 'init': None, 'max_depth': 1, 'min_samples_leaf': 7, 'min_impurity_split': None, 'label_weights': OrderedDict([(False, 10)]), 'labels': [True, False], 'verbose': 0, 'population_rates': None, 'max_features': 'log2', 'n_estimators': 300, 'learning_rate': 0.1, 'min_impurity_decrease': 0.0, 'random_state': None, 'presort': 'deprecated', 'warm_start': False, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'scale': True} + - params: {'min_impurity_split': None, 'loss': 'deviance', 'presort': 'deprecated', 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'warm_start': False, 'init': None, 'learning_rate': 0.1, 'n_estimators': 300, 'tol': 0.0001, 'label_weights': OrderedDict([(False, 10)]), 'max_features': 'log2', 'n_iter_no_change': None, 'validation_fraction': 0.1, 'verbose': 0, 'max_leaf_nodes': None, 'random_state': None, 'min_samples_leaf': 7, 'min_samples_split': 2, 'ccp_alpha': 0.0, 'criterion': 'friedman_mse', 'scale': True, 'population_rates': None, 'multilabel': False, 'center': True, 'labels': [True, False], 'min_weight_fraction_leaf': 0.0, 'max_depth': 1} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=27850): + counts (n=27643): label n ~True ~False ------- ----- --- ------- -------- - True 27723 --> 27675 48 - False 127 --> 116 11 + True 27516 --> 27482 34 + False 127 --> 121 6 rates: True False ---------- ------ ------- sample 0.995 0.005 population 0.005 0.995 - match_rate (micro=0.09, macro=0.5): + match_rate (micro=0.051, macro=0.5): True False ------ ------- - 0.914 0.086 - filter_rate (micro=0.91, macro=0.5): + 0.953 0.047 + filter_rate (micro=0.949, macro=0.5): True False ------ ------- - 0.086 0.914 - recall (micro=0.091, macro=0.542): + 0.047 0.953 + recall (micro=0.052, macro=0.523): True False ------ ------- - 0.998 0.087 - !recall (micro=0.994, macro=0.542): + 0.999 0.047 + !recall (micro=0.994, macro=0.523): True False ------ ------- - 0.087 0.998 + 0.047 0.999 precision (micro=0.995, macro=0.502): True False ------ ------- 0.005 1 - !precision (micro=0.01, macro=0.502): + !precision (micro=0.009, macro=0.502): True False ------ ------- 1 0.005 - f1 (micro=0.159, macro=0.085): + f1 (micro=0.09, macro=0.05): True False ------ ------- - 0.01 0.159 - !f1 (micro=0.011, macro=0.085): + 0.01 0.09 + !f1 (micro=0.01, macro=0.05): True False ------ ------- - 0.159 0.01 - accuracy (micro=0.091, macro=0.091): + 0.09 0.01 + accuracy (micro=0.052, macro=0.052): True False ------ ------- - 0.091 0.091 - fpr (micro=0.006, macro=0.458): + 0.052 0.052 + fpr (micro=0.006, macro=0.477): True False ------ ------- - 0.913 0.002 - roc_auc (micro=0.829, macro=0.829): + 0.953 0.001 + roc_auc (micro=0.816, macro=0.816): True False ------ ------- - 0.829 0.829 - pr_auc (micro=0.985, macro=0.574): + 0.817 0.816 + pr_auc (micro=0.984, macro=0.534): True False ------ ------- - 0.16 0.989 + 0.079 0.989 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} diff --git a/model_info/kowiki.damaging.md b/model_info/kowiki.damaging.md index afee7191..f63e1742 100644 --- a/model_info/kowiki.damaging.md +++ b/model_info/kowiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'random_state': None, 'population_rates': None, 'multilabel': False, 'max_features': 'log2', 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'label_weights': OrderedDict([(True, 10)]), 'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'presort': 'deprecated', 'validation_fraction': 0.1, 'max_depth': 7, 'warm_start': False, 'max_leaf_nodes': None, 'criterion': 'friedman_mse', 'loss': 'deviance', 'tol': 0.0001, 'n_estimators': 700, 'n_iter_no_change': None, 'labels': [True, False], 'min_samples_split': 2, 'ccp_alpha': 0.0, 'center': True, 'scale': True, 'min_samples_leaf': 1, 'learning_rate': 0.01, 'subsample': 1.0, 'init': None} + - params: {'validation_fraction': 0.1, 'presort': 'deprecated', 'max_features': 'log2', 'multilabel': False, 'criterion': 'friedman_mse', 'label_weights': OrderedDict([(True, 10)]), 'learning_rate': 0.01, 'n_iter_no_change': None, 'verbose': 0, 'max_leaf_nodes': None, 'n_estimators': 700, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'min_samples_split': 2, 'center': True, 'labels': [True, False], 'subsample': 1.0, 'ccp_alpha': 0.0, 'warm_start': False, 'tol': 0.0001, 'min_impurity_split': None, 'min_samples_leaf': 1, 'init': None, 'min_impurity_decrease': 0.0, 'population_rates': None, 'loss': 'deviance', 'scale': True, 'max_depth': 7} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19465): + counts (n=19424): label n ~True ~False ------- ----- --- ------- -------- - True 923 --> 466 457 - False 18542 --> 1334 17208 + True 923 --> 453 470 + False 18501 --> 1516 16985 rates: True False ---------- ------ ------- - sample 0.047 0.953 + sample 0.048 0.952 population 0.039 0.961 - match_rate (micro=0.88, macro=0.5): + match_rate (micro=0.871, macro=0.5): True False ------ ------- - 0.089 0.911 - filter_rate (micro=0.12, macro=0.5): + 0.098 0.902 + filter_rate (micro=0.129, macro=0.5): True False ------ ------- - 0.911 0.089 - recall (micro=0.912, macro=0.716): + 0.902 0.098 + recall (micro=0.902, macro=0.704): True False ------ ------- - 0.505 0.928 - !recall (micro=0.521, macro=0.716): + 0.491 0.918 + !recall (micro=0.507, macro=0.704): True False ------ ------- - 0.928 0.505 - precision (micro=0.95, macro=0.6): + 0.918 0.491 + precision (micro=0.948, macro=0.586): True False ------ ------- - 0.22 0.979 - !precision (micro=0.249, macro=0.6): + 0.194 0.978 + !precision (micro=0.224, macro=0.586): True False ------ ------- - 0.979 0.22 - f1 (micro=0.928, macro=0.63): + 0.978 0.194 + f1 (micro=0.921, macro=0.613): True False ------ ------- - 0.307 0.953 - !f1 (micro=0.332, macro=0.63): + 0.278 0.947 + !f1 (micro=0.304, macro=0.613): True False ------ ------- - 0.953 0.307 - accuracy (micro=0.912, macro=0.912): + 0.947 0.278 + accuracy (micro=0.902, macro=0.902): True False ------ ------- - 0.912 0.912 - fpr (micro=0.479, macro=0.284): + 0.902 0.902 + fpr (micro=0.493, macro=0.296): True False ------ ------- - 0.072 0.495 - roc_auc (micro=0.886, macro=0.886): + 0.082 0.509 + roc_auc (micro=0.881, macro=0.882): True False ------ ------- - 0.886 0.886 - pr_auc (micro=0.968, macro=0.654): + 0.882 0.881 + pr_auc (micro=0.968, macro=0.65): True False ------ ------- - 0.314 0.995 + 0.305 0.995 - - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} diff --git a/model_info/kowiki.goodfaith.md b/model_info/kowiki.goodfaith.md index facd1f47..4fba5615 100644 --- a/model_info/kowiki.goodfaith.md +++ b/model_info/kowiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_samples_split': 2, 'max_features': 'log2', 'max_depth': 7, 'init': None, 'warm_start': False, 'subsample': 1.0, 'learning_rate': 0.01, 'tol': 0.0001, 'random_state': None, 'min_samples_leaf': 1, 'min_impurity_split': None, 'population_rates': None, 'min_impurity_decrease': 0.0, 'n_estimators': 700, 'validation_fraction': 0.1, 'presort': 'deprecated', 'verbose': 0, 'multilabel': False, 'label_weights': OrderedDict([(False, 10)]), 'center': True, 'min_weight_fraction_leaf': 0.0, 'criterion': 'friedman_mse', 'ccp_alpha': 0.0, 'labels': [True, False], 'scale': True, 'n_iter_no_change': None, 'loss': 'deviance', 'max_leaf_nodes': None} + - params: {'center': True, 'min_samples_leaf': 1, 'validation_fraction': 0.1, 'min_impurity_split': None, 'labels': [True, False], 'max_leaf_nodes': None, 'subsample': 1.0, 'verbose': 0, 'min_impurity_decrease': 0.0, 'multilabel': False, 'warm_start': False, 'presort': 'deprecated', 'population_rates': None, 'loss': 'deviance', 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'scale': True, 'tol': 0.0001, 'max_depth': 7, 'criterion': 'friedman_mse', 'min_samples_split': 2, 'init': None, 'label_weights': OrderedDict([(False, 10)]), 'max_features': 'log2', 'n_estimators': 700, 'learning_rate': 0.01} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19465): + counts (n=19424): label n ~True ~False ------- ----- --- ------- -------- - True 18839 --> 18459 380 - False 626 --> 412 214 + True 18798 --> 18447 351 + False 626 --> 429 197 rates: True False ---------- ------ ------- sample 0.968 0.032 population 0.981 0.019 - match_rate (micro=0.955, macro=0.5): + match_rate (micro=0.957, macro=0.5): True False ------ ------- - 0.974 0.026 - filter_rate (micro=0.045, macro=0.5): + 0.976 0.024 + filter_rate (micro=0.043, macro=0.5): True False ------ ------- - 0.026 0.974 - recall (micro=0.968, macro=0.661): + 0.024 0.976 + recall (micro=0.969, macro=0.648): True False ------ ------- - 0.98 0.342 - !recall (micro=0.354, macro=0.661): + 0.981 0.315 + !recall (micro=0.328, macro=0.648): True False ------ ------- - 0.342 0.98 - precision (micro=0.973, macro=0.618): + 0.315 0.981 + precision (micro=0.972, macro=0.617): True False ------ ------- - 0.987 0.249 - !precision (micro=0.264, macro=0.618): + 0.986 0.248 + !precision (micro=0.263, macro=0.617): True False ------ ------- - 0.249 0.987 - f1 (micro=0.97, macro=0.636): + 0.248 0.986 + f1 (micro=0.97, macro=0.631): True False ------ ------- - 0.983 0.288 - !f1 (micro=0.302, macro=0.636): + 0.984 0.278 + !f1 (micro=0.291, macro=0.631): True False ------ ------- - 0.288 0.983 - accuracy (micro=0.968, macro=0.968): + 0.278 0.984 + accuracy (micro=0.969, macro=0.969): True False ------ ------- - 0.968 0.968 - fpr (micro=0.646, macro=0.339): + 0.969 0.969 + fpr (micro=0.672, macro=0.352): True False ------ ------- - 0.658 0.02 - roc_auc (micro=0.898, macro=0.898): + 0.685 0.019 + roc_auc (micro=0.893, macro=0.893): True False ------ ------- - 0.898 0.898 - pr_auc (micro=0.983, macro=0.627): + 0.893 0.893 + pr_auc (micro=0.983, macro=0.62): True False ------ ------- - 0.998 0.257 + 0.998 0.242 - - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/lvwiki.damaging.md b/model_info/lvwiki.damaging.md index f28cc5bf..29c46a8f 100644 --- a/model_info/lvwiki.damaging.md +++ b/model_info/lvwiki.damaging.md @@ -1,38 +1,38 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'max_features': 'log2', 'scale': True, 'verbose': 0, 'max_depth': 5, 'min_samples_split': 2, 'subsample': 1.0, 'random_state': None, 'label_weights': OrderedDict([(True, 10)]), 'learning_rate': 0.01, 'min_weight_fraction_leaf': 0.0, 'multilabel': False, 'criterion': 'friedman_mse', 'center': True, 'population_rates': None, 'presort': 'deprecated', 'ccp_alpha': 0.0, 'validation_fraction': 0.1, 'tol': 0.0001, 'max_leaf_nodes': None, 'warm_start': False, 'init': None, 'n_iter_no_change': None, 'n_estimators': 500, 'min_samples_leaf': 1, 'labels': [True, False], 'min_impurity_split': None, 'loss': 'deviance', 'min_impurity_decrease': 0.0} + - params: {'multilabel': False, 'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'tol': 0.0001, 'ccp_alpha': 0.0, 'init': None, 'validation_fraction': 0.1, 'center': True, 'min_impurity_split': None, 'max_leaf_nodes': None, 'min_samples_split': 2, 'criterion': 'friedman_mse', 'min_samples_leaf': 1, 'scale': True, 'max_depth': 5, 'random_state': None, 'subsample': 1.0, 'n_estimators': 500, 'n_iter_no_change': None, 'population_rates': None, 'labels': [True, False], 'presort': 'deprecated', 'warm_start': False, 'verbose': 0, 'min_impurity_decrease': 0.0, 'loss': 'deviance', 'max_features': 'log2', 'learning_rate': 0.01} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19846): + counts (n=19836): label n ~True ~False ------- ----- --- ------- -------- True 581 --> 483 98 - False 19265 --> 555 18710 + False 19255 --> 552 18703 rates: True False ---------- ------ ------- sample 0.029 0.971 population 0.029 0.971 - match_rate (micro=0.921, macro=0.5): + match_rate (micro=0.922, macro=0.5): True False ------ ------- 0.052 0.948 - filter_rate (micro=0.079, macro=0.5): + filter_rate (micro=0.078, macro=0.5): True False ------ ------- 0.948 0.052 @@ -44,22 +44,22 @@ Model Information: True False ------ ------- 0.971 0.831 - precision (micro=0.979, macro=0.73): + precision (micro=0.979, macro=0.731): True False ------ ------- - 0.466 0.995 - !precision (micro=0.481, macro=0.73): + 0.467 0.995 + !precision (micro=0.482, macro=0.731): True False ------ ------- - 0.995 0.466 + 0.995 0.467 f1 (micro=0.972, macro=0.79): True False ------ ------- - 0.597 0.983 - !f1 (micro=0.608, macro=0.79): + 0.598 0.983 + !f1 (micro=0.609, macro=0.79): True False ------ ------- - 0.983 0.597 + 0.983 0.598 accuracy (micro=0.967, macro=0.967): True False ------ ------- @@ -68,14 +68,14 @@ Model Information: True False ------ ------- 0.029 0.169 - roc_auc (micro=0.98, macro=0.978): + roc_auc (micro=0.98, macro=0.979): True False ------ ------- - 0.977 0.98 - pr_auc (micro=0.991, macro=0.851): + 0.978 0.98 + pr_auc (micro=0.991, macro=0.855): True False ------ ------- - 0.703 0.999 + 0.711 0.999 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/lvwiki.goodfaith.md b/model_info/lvwiki.goodfaith.md index 3b5593ee..30d267b3 100644 --- a/model_info/lvwiki.goodfaith.md +++ b/model_info/lvwiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_impurity_split': None, 'n_iter_no_change': None, 'min_samples_split': 2, 'labels': [True, False], 'warm_start': False, 'learning_rate': 0.5, 'label_weights': OrderedDict([(False, 10)]), 'min_samples_leaf': 1, 'loss': 'deviance', 'criterion': 'friedman_mse', 'scale': True, 'max_features': 'log2', 'max_leaf_nodes': None, 'ccp_alpha': 0.0, 'init': None, 'min_weight_fraction_leaf': 0.0, 'tol': 0.0001, 'population_rates': None, 'multilabel': False, 'subsample': 1.0, 'center': True, 'validation_fraction': 0.1, 'presort': 'deprecated', 'n_estimators': 700, 'random_state': None, 'max_depth': 7, 'verbose': 0, 'min_impurity_decrease': 0.0} + - params: {'center': True, 'label_weights': OrderedDict([(False, 10)]), 'min_samples_leaf': 1, 'max_features': 'log2', 'labels': [True, False], 'learning_rate': 0.5, 'init': None, 'validation_fraction': 0.1, 'max_leaf_nodes': None, 'min_impurity_split': None, 'warm_start': False, 'ccp_alpha': 0.0, 'tol': 0.0001, 'max_depth': 7, 'presort': 'deprecated', 'scale': True, 'population_rates': None, 'multilabel': False, 'n_estimators': 700, 'criterion': 'friedman_mse', 'min_impurity_decrease': 0.0, 'verbose': 0, 'subsample': 1.0, 'n_iter_no_change': None, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'min_samples_split': 2, 'loss': 'deviance'} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19846): + counts (n=19836): label n ~True ~False ------- ----- --- ------- -------- - True 19411 --> 19321 90 - False 435 --> 190 245 + True 19401 --> 19312 89 + False 435 --> 197 238 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.017 0.983 - recall (micro=0.986, macro=0.779): + recall (micro=0.986, macro=0.771): True False ------ ------- - 0.995 0.563 - !recall (micro=0.573, macro=0.779): + 0.995 0.547 + !recall (micro=0.557, macro=0.771): True False ------ ------- - 0.563 0.995 - precision (micro=0.985, macro=0.861): + 0.547 0.995 + precision (micro=0.984, macro=0.859): True False ------ ------- - 0.99 0.732 - !precision (micro=0.738, macro=0.861): + 0.99 0.728 + !precision (micro=0.734, macro=0.859): True False ------ ------- - 0.732 0.99 - f1 (micro=0.985, macro=0.815): + 0.728 0.99 + f1 (micro=0.985, macro=0.809): True False ------ ------- - 0.993 0.637 - !f1 (micro=0.644, macro=0.815): + 0.993 0.625 + !f1 (micro=0.633, macro=0.809): True False ------ ------- - 0.637 0.993 + 0.625 0.993 accuracy (micro=0.986, macro=0.986): True False ------ ------- 0.986 0.986 - fpr (micro=0.427, macro=0.221): + fpr (micro=0.443, macro=0.229): True False ------ ------- - 0.437 0.005 - roc_auc (micro=0.991, macro=0.964): + 0.453 0.005 + roc_auc (micro=0.991, macro=0.967): True False ------ ------- - 0.992 0.936 - pr_auc (micro=0.991, macro=0.855): + 0.992 0.942 + pr_auc (micro=0.991, macro=0.85): True False ------ ------- - 0.997 0.714 + 0.998 0.703 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}} + - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/nlwiki.damaging.md b/model_info/nlwiki.damaging.md index c8eb5ca9..582e5705 100644 --- a/model_info/nlwiki.damaging.md +++ b/model_info/nlwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'presort': 'deprecated', 'validation_fraction': 0.1, 'learning_rate': 0.1, 'tol': 0.0001, 'labels': [True, False], 'max_depth': 3, 'ccp_alpha': 0.0, 'min_samples_leaf': 1, 'loss': 'deviance', 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'random_state': None, 'init': None, 'n_iter_no_change': None, 'verbose': 0, 'max_features': 'log2', 'center': True, 'n_estimators': 500, 'criterion': 'friedman_mse', 'warm_start': False, 'max_leaf_nodes': None, 'subsample': 1.0, 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None, 'multilabel': False, 'min_weight_fraction_leaf': 0.0, 'min_samples_split': 2, 'scale': True} + - params: {'criterion': 'friedman_mse', 'presort': 'deprecated', 'max_leaf_nodes': None, 'min_impurity_split': None, 'center': True, 'verbose': 0, 'min_samples_leaf': 1, 'max_depth': 3, 'max_features': 'log2', 'learning_rate': 0.1, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'population_rates': None, 'validation_fraction': 0.1, 'init': None, 'n_iter_no_change': None, 'multilabel': False, 'ccp_alpha': 0.0, 'scale': True, 'warm_start': False, 'labels': [True, False], 'tol': 0.0001, 'random_state': None, 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'loss': 'deviance', 'n_estimators': 500, 'label_weights': OrderedDict([(True, 10)])} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18423): + counts (n=18316): label n ~True ~False ------- ----- --- ------- -------- - True 1007 --> 837 170 - False 17416 --> 1310 16106 + True 1006 --> 826 180 + False 17310 --> 1239 16071 rates: True False ---------- ------ ------- sample 0.055 0.945 population 0.051 0.949 - match_rate (micro=0.847, macro=0.5): + match_rate (micro=0.851, macro=0.5): True False ------ ------- - 0.114 0.886 - filter_rate (micro=0.153, macro=0.5): + 0.11 0.89 + filter_rate (micro=0.149, macro=0.5): True False ------ ------- - 0.886 0.114 - recall (micro=0.92, macro=0.878): + 0.89 0.11 + recall (micro=0.923, macro=0.875): True False ------ ------- - 0.831 0.925 - !recall (micro=0.836, macro=0.878): + 0.821 0.928 + !recall (micro=0.827, macro=0.875): True False ------ ------- - 0.925 0.831 - precision (micro=0.959, macro=0.681): + 0.928 0.821 + precision (micro=0.959, macro=0.685): True False ------ ------- - 0.371 0.99 - !precision (micro=0.402, macro=0.681): + 0.38 0.99 + !precision (micro=0.411, macro=0.685): True False ------ ------- - 0.99 0.371 - f1 (micro=0.934, macro=0.735): + 0.99 0.38 + f1 (micro=0.936, macro=0.739): True False ------ ------- - 0.513 0.956 - !f1 (micro=0.536, macro=0.735): + 0.519 0.958 + !f1 (micro=0.542, macro=0.739): True False ------ ------- - 0.956 0.513 - accuracy (micro=0.92, macro=0.92): + 0.958 0.519 + accuracy (micro=0.923, macro=0.923): True False ------ ------- - 0.92 0.92 - fpr (micro=0.164, macro=0.122): + 0.923 0.923 + fpr (micro=0.173, macro=0.125): True False ------ ------- - 0.075 0.169 - roc_auc (micro=0.954, macro=0.953): + 0.072 0.179 + roc_auc (micro=0.956, macro=0.956): True False ------ ------- - 0.953 0.954 - pr_auc (micro=0.979, macro=0.824): + 0.955 0.956 + pr_auc (micro=0.98, macro=0.831): True False ------ ------- - 0.651 0.997 + 0.665 0.997 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/nlwiki.goodfaith.md b/model_info/nlwiki.goodfaith.md index f677867a..b135f26e 100644 --- a/model_info/nlwiki.goodfaith.md +++ b/model_info/nlwiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'random_state': None, 'max_features': 'log2', 'multilabel': False, 'min_samples_leaf': 1, 'label_weights': OrderedDict([(False, 10)]), 'min_impurity_decrease': 0.0, 'labels': [True, False], 'min_impurity_split': None, 'presort': 'deprecated', 'criterion': 'friedman_mse', 'subsample': 1.0, 'loss': 'deviance', 'ccp_alpha': 0.0, 'max_depth': 3, 'scale': True, 'init': None, 'population_rates': None, 'n_iter_no_change': None, 'center': True, 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'warm_start': False, 'n_estimators': 300, 'learning_rate': 0.1, 'min_samples_split': 2, 'verbose': 0, 'max_leaf_nodes': None, 'validation_fraction': 0.1} + - params: {'presort': 'deprecated', 'min_weight_fraction_leaf': 0.0, 'warm_start': False, 'label_weights': OrderedDict([(False, 10)]), 'random_state': None, 'learning_rate': 0.1, 'max_depth': 3, 'population_rates': None, 'min_samples_leaf': 1, 'validation_fraction': 0.1, 'tol': 0.0001, 'labels': [True, False], 'verbose': 0, 'max_leaf_nodes': None, 'n_estimators': 300, 'max_features': 'log2', 'loss': 'deviance', 'subsample': 1.0, 'scale': True, 'ccp_alpha': 0.0, 'center': True, 'multilabel': False, 'min_impurity_split': None, 'init': None, 'min_impurity_decrease': 0.0, 'n_iter_no_change': None, 'min_samples_split': 2, 'criterion': 'friedman_mse'} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18423): + counts (n=18316): label n ~True ~False ------- ----- --- ------- -------- - True 17801 --> 17150 651 - False 622 --> 120 502 + True 17694 --> 17060 634 + False 622 --> 110 512 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.064 0.936 - recall (micro=0.958, macro=0.885): + recall (micro=0.959, macro=0.894): True False ------ ------- - 0.963 0.807 - !recall (micro=0.813, macro=0.885): + 0.964 0.823 + !recall (micro=0.828, macro=0.894): True False ------ ------- - 0.807 0.963 - precision (micro=0.973, macro=0.72): + 0.823 0.964 + precision (micro=0.974, macro=0.725): True False ------ ------- - 0.993 0.447 - !precision (micro=0.467, macro=0.72): + 0.993 0.457 + !precision (micro=0.476, macro=0.725): True False ------ ------- - 0.447 0.993 - f1 (micro=0.964, macro=0.777): + 0.457 0.993 + f1 (micro=0.965, macro=0.783): True False ------ ------- - 0.978 0.576 - !f1 (micro=0.59, macro=0.777): + 0.979 0.588 + !f1 (micro=0.602, macro=0.783): True False ------ ------- - 0.576 0.978 - accuracy (micro=0.958, macro=0.958): + 0.588 0.979 + accuracy (micro=0.959, macro=0.959): True False ------ ------- - 0.958 0.958 - fpr (micro=0.187, macro=0.115): + 0.959 0.959 + fpr (micro=0.172, macro=0.106): True False ------ ------- - 0.193 0.037 - roc_auc (micro=0.972, macro=0.972): + 0.177 0.036 + roc_auc (micro=0.973, macro=0.972): True False ------ ------- - 0.972 0.971 - pr_auc (micro=0.988, macro=0.856): + 0.973 0.972 + pr_auc (micro=0.989, macro=0.862): True False ------ ------- - 0.999 0.714 + 0.999 0.726 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} + - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/nowiki.damaging.md b/model_info/nowiki.damaging.md index a45a1624..e20f1e0b 100644 --- a/model_info/nowiki.damaging.md +++ b/model_info/nowiki.damaging.md @@ -1,65 +1,65 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'population_rates': None, 'min_weight_fraction_leaf': 0.0, 'max_features': 'log2', 'multilabel': False, 'learning_rate': 0.01, 'labels': [True, False], 'init': None, 'warm_start': False, 'min_samples_split': 2, 'validation_fraction': 0.1, 'loss': 'deviance', 'min_impurity_decrease': 0.0, 'center': True, 'max_leaf_nodes': None, 'subsample': 1.0, 'tol': 0.0001, 'max_depth': 5, 'min_impurity_split': None, 'n_iter_no_change': None, 'criterion': 'friedman_mse', 'random_state': None, 'n_estimators': 700, 'presort': 'deprecated', 'label_weights': OrderedDict([(True, 10)]), 'verbose': 0, 'scale': True, 'ccp_alpha': 0.0, 'min_samples_leaf': 1} + - params: {'min_weight_fraction_leaf': 0.0, 'scale': True, 'min_impurity_split': None, 'max_depth': 5, 'labels': [True, False], 'tol': 0.0001, 'init': None, 'label_weights': OrderedDict([(True, 10)]), 'min_samples_split': 2, 'subsample': 1.0, 'max_features': 'log2', 'population_rates': None, 'max_leaf_nodes': None, 'multilabel': False, 'loss': 'deviance', 'n_estimators': 700, 'center': True, 'learning_rate': 0.01, 'validation_fraction': 0.1, 'min_samples_leaf': 1, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'random_state': None, 'warm_start': False, 'criterion': 'friedman_mse', 'presort': 'deprecated', 'verbose': 0, 'ccp_alpha': 0.0} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=93829): + counts (n=93669): label n ~True ~False ------- ----- --- ------- -------- - True 615 --> 466 149 - False 93214 --> 734 92480 + True 614 --> 465 149 + False 93055 --> 757 92298 rates: True False ---------- ------ ------- sample 0.007 0.993 population 0.019 0.981 - match_rate (micro=0.961, macro=0.5): + match_rate (micro=0.96, macro=0.5): True False ------ ------- 0.022 0.978 - filter_rate (micro=0.039, macro=0.5): + filter_rate (micro=0.04, macro=0.5): True False ------ ------- 0.978 0.022 recall (micro=0.988, macro=0.875): True False ------ ------- - 0.758 0.992 + 0.757 0.992 !recall (micro=0.762, macro=0.875): True False ------ ------- - 0.992 0.758 - precision (micro=0.989, macro=0.82): + 0.992 0.757 + precision (micro=0.989, macro=0.816): True False ------ ------- - 0.645 0.995 - !precision (micro=0.651, macro=0.82): + 0.637 0.995 + !precision (micro=0.644, macro=0.816): True False ------ ------- - 0.995 0.645 - f1 (micro=0.988, macro=0.845): + 0.995 0.637 + f1 (micro=0.988, macro=0.843): True False ------ ------- - 0.697 0.994 - !f1 (micro=0.702, macro=0.845): + 0.692 0.994 + !f1 (micro=0.698, macro=0.843): True False ------ ------- - 0.994 0.697 + 0.994 0.692 accuracy (micro=0.988, macro=0.988): True False ------ ------- @@ -67,15 +67,15 @@ Model Information: fpr (micro=0.238, macro=0.125): True False ------ ------- - 0.008 0.242 - roc_auc (micro=0.967, macro=0.966): + 0.008 0.243 + roc_auc (micro=0.968, macro=0.966): True False ------ ------- - 0.964 0.967 + 0.965 0.968 pr_auc (micro=0.995, macro=0.877): True False ------ ------- 0.755 0.999 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} diff --git a/model_info/nowiki.goodfaith.md b/model_info/nowiki.goodfaith.md index 48284c2f..5d28f4dd 100644 --- a/model_info/nowiki.goodfaith.md +++ b/model_info/nowiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'learning_rate': 0.01, 'init': None, 'subsample': 1.0, 'criterion': 'friedman_mse', 'validation_fraction': 0.1, 'tol': 0.0001, 'max_depth': 5, 'max_leaf_nodes': None, 'loss': 'deviance', 'population_rates': None, 'scale': True, 'max_features': 'log2', 'center': True, 'verbose': 0, 'min_samples_leaf': 1, 'random_state': None, 'presort': 'deprecated', 'n_iter_no_change': None, 'n_estimators': 700, 'min_impurity_split': None, 'labels': [True, False], 'min_impurity_decrease': 0.0, 'label_weights': OrderedDict([(False, 10)]), 'min_weight_fraction_leaf': 0.0, 'warm_start': False, 'multilabel': False, 'min_samples_split': 2, 'ccp_alpha': 0.0} + - params: {'presort': 'deprecated', 'max_depth': 5, 'loss': 'deviance', 'n_estimators': 700, 'min_impurity_split': None, 'min_impurity_decrease': 0.0, 'tol': 0.0001, 'center': True, 'ccp_alpha': 0.0, 'min_samples_leaf': 1, 'validation_fraction': 0.1, 'learning_rate': 0.01, 'max_leaf_nodes': None, 'subsample': 1.0, 'warm_start': False, 'criterion': 'friedman_mse', 'scale': True, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'max_features': 'log2', 'init': None, 'multilabel': False, 'verbose': 0, 'population_rates': None, 'label_weights': OrderedDict([(False, 10)]), 'n_iter_no_change': None, 'labels': [True, False], 'random_state': None} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=93829): + counts (n=93669): label n ~True ~False ------- ----- --- ------- -------- - True 93415 --> 92929 486 - False 414 --> 95 319 + True 93255 --> 92772 483 + False 414 --> 90 324 rates: True False ---------- ------ ------- sample 0.996 0.004 population 0.987 0.013 - match_rate (micro=0.972, macro=0.5): + match_rate (micro=0.971, macro=0.5): True False ------ ------- - 0.985 0.015 - filter_rate (micro=0.028, macro=0.5): + 0.984 0.016 + filter_rate (micro=0.029, macro=0.5): True False ------ ------- - 0.015 0.985 - recall (micro=0.992, macro=0.883): + 0.016 0.984 + recall (micro=0.992, macro=0.889): True False ------ ------- - 0.995 0.771 - !recall (micro=0.774, macro=0.883): + 0.995 0.783 + !recall (micro=0.785, macro=0.889): True False ------ ------- - 0.771 0.995 - precision (micro=0.992, macro=0.832): + 0.783 0.995 + precision (micro=0.993, macro=0.835): True False ------ ------- - 0.997 0.668 - !precision (micro=0.672, macro=0.832): + 0.997 0.672 + !precision (micro=0.677, macro=0.835): True False ------ ------- - 0.668 0.997 - f1 (micro=0.992, macro=0.856): + 0.672 0.997 + f1 (micro=0.992, macro=0.86): True False ------ ------- - 0.996 0.716 - !f1 (micro=0.719, macro=0.856): + 0.996 0.723 + !f1 (micro=0.727, macro=0.86): True False ------ ------- - 0.716 0.996 + 0.723 0.996 accuracy (micro=0.992, macro=0.992): True False ------ ------- 0.992 0.992 - fpr (micro=0.226, macro=0.117): + fpr (micro=0.215, macro=0.111): True False ------ ------- - 0.229 0.005 - roc_auc (micro=0.986, macro=0.985): + 0.217 0.005 + roc_auc (micro=0.987, macro=0.986): True False ------ ------- - 0.986 0.985 - pr_auc (micro=0.997, macro=0.906): + 0.987 0.985 + pr_auc (micro=0.997, macro=0.909): True False ------ ------- - 1 0.812 + 1 0.819 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} diff --git a/model_info/ptwiki.damaging.md b/model_info/ptwiki.damaging.md index bbdb25ce..c7c80188 100644 --- a/model_info/ptwiki.damaging.md +++ b/model_info/ptwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'scale': True, 'warm_start': False, 'center': True, 'population_rates': None, 'ccp_alpha': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'random_state': None, 'min_weight_fraction_leaf': 0.0, 'criterion': 'friedman_mse', 'min_impurity_decrease': 0.0, 'tol': 0.0001, 'min_impurity_split': None, 'learning_rate': 0.01, 'labels': [True, False], 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'min_samples_split': 2, 'max_depth': 7, 'presort': 'deprecated', 'max_features': 'log2', 'init': None, 'min_samples_leaf': 1, 'n_estimators': 700, 'subsample': 1.0, 'multilabel': False, 'verbose': 0, 'loss': 'deviance', 'n_iter_no_change': None} + - params: {'min_samples_leaf': 1, 'verbose': 0, 'max_features': 'log2', 'subsample': 1.0, 'min_impurity_split': None, 'labels': [True, False], 'population_rates': None, 'n_iter_no_change': None, 'random_state': None, 'validation_fraction': 0.1, 'presort': 'deprecated', 'max_depth': 7, 'tol': 0.0001, 'multilabel': False, 'max_leaf_nodes': None, 'scale': True, 'ccp_alpha': 0.0, 'learning_rate': 0.01, 'loss': 'deviance', 'warm_start': False, 'min_samples_split': 2, 'center': True, 'min_impurity_decrease': 0.0, 'n_estimators': 700, 'label_weights': OrderedDict([(True, 10)]), 'init': None, 'min_weight_fraction_leaf': 0.0, 'criterion': 'friedman_mse'} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=29267): + counts (n=28980): label n ~True ~False ------- ----- --- ------- -------- - True 2374 --> 1908 466 - False 26893 --> 3928 22965 + True 2354 --> 1893 461 + False 26626 --> 3920 22706 rates: True False ---------- ------ ------- sample 0.081 0.919 population 0.069 0.931 - match_rate (micro=0.766, macro=0.5): + match_rate (micro=0.765, macro=0.5): True False ------ ------- - 0.191 0.809 - filter_rate (micro=0.234, macro=0.5): + 0.193 0.807 + filter_rate (micro=0.235, macro=0.5): True False ------ ------- - 0.809 0.191 - recall (micro=0.85, macro=0.829): + 0.807 0.193 + recall (micro=0.849, macro=0.828): True False ------ ------- - 0.804 0.854 - !recall (micro=0.807, macro=0.829): + 0.804 0.853 + !recall (micro=0.808, macro=0.828): True False ------ ------- - 0.854 0.804 + 0.853 0.804 precision (micro=0.935, macro=0.636): True False ------ ------- - 0.29 0.983 - !precision (micro=0.337, macro=0.636): + 0.288 0.983 + !precision (micro=0.336, macro=0.636): True False ------ ------- - 0.983 0.29 - f1 (micro=0.88, macro=0.67): + 0.983 0.288 + f1 (micro=0.88, macro=0.669): True False ------ ------- - 0.426 0.914 - !f1 (micro=0.459, macro=0.67): + 0.424 0.913 + !f1 (micro=0.458, macro=0.669): True False ------ ------- - 0.914 0.426 - accuracy (micro=0.85, macro=0.85): + 0.913 0.424 + accuracy (micro=0.849, macro=0.849): True False ------ ------- - 0.85 0.85 - fpr (micro=0.193, macro=0.171): + 0.849 0.849 + fpr (micro=0.192, macro=0.172): True False ------ ------- - 0.146 0.196 - roc_auc (micro=0.916, macro=0.916): + 0.147 0.196 + roc_auc (micro=0.916, macro=0.917): True False ------ ------- - 0.918 0.915 - pr_auc (micro=0.96, macro=0.753): + 0.918 0.916 + pr_auc (micro=0.96, macro=0.756): True False ------ ------- - 0.513 0.993 + 0.519 0.993 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} diff --git a/model_info/ptwiki.goodfaith.md b/model_info/ptwiki.goodfaith.md index 40547765..57653814 100644 --- a/model_info/ptwiki.goodfaith.md +++ b/model_info/ptwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'min_samples_split': 2, 'n_estimators': 700, 'scale': True, 'min_samples_leaf': 1, 'min_weight_fraction_leaf': 0.0, 'subsample': 1.0, 'validation_fraction': 0.1, 'max_features': 'log2', 'init': None, 'min_impurity_decrease': 0.0, 'label_weights': OrderedDict([(False, 10)]), 'max_depth': 7, 'random_state': None, 'ccp_alpha': 0.0, 'center': True, 'population_rates': None, 'tol': 0.0001, 'n_iter_no_change': None, 'criterion': 'friedman_mse', 'multilabel': False, 'labels': [True, False], 'learning_rate': 0.01, 'loss': 'deviance', 'max_leaf_nodes': None, 'min_impurity_split': None, 'verbose': 0, 'warm_start': False, 'presort': 'deprecated'} + - params: {'label_weights': OrderedDict([(False, 10)]), 'criterion': 'friedman_mse', 'min_samples_split': 2, 'labels': [True, False], 'max_leaf_nodes': None, 'verbose': 0, 'min_impurity_split': None, 'min_samples_leaf': 1, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'tol': 0.0001, 'ccp_alpha': 0.0, 'learning_rate': 0.01, 'center': True, 'max_depth': 7, 'init': None, 'loss': 'deviance', 'n_estimators': 700, 'population_rates': None, 'presort': 'deprecated', 'validation_fraction': 0.1, 'n_iter_no_change': None, 'subsample': 1.0, 'max_features': 'log2', 'warm_start': False, 'multilabel': False, 'random_state': None, 'scale': True} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=29267): + counts (n=28980): label n ~True ~False ------- ----- --- ------- -------- - True 27535 --> 25159 2376 - False 1732 --> 459 1273 + True 27254 --> 24873 2381 + False 1726 --> 445 1281 rates: True False ---------- ------ ------- - sample 0.941 0.059 - population 0.94 0.06 - match_rate (micro=0.83, macro=0.5): + sample 0.94 0.06 + population 0.94 0.06 + match_rate (micro=0.828, macro=0.5): True False ------ ------- - 0.875 0.125 - filter_rate (micro=0.17, macro=0.5): + 0.873 0.127 + filter_rate (micro=0.172, macro=0.5): True False ------ ------- - 0.125 0.875 - recall (micro=0.903, macro=0.824): + 0.127 0.873 + recall (micro=0.902, macro=0.827): True False ------ ------- - 0.914 0.735 - !recall (micro=0.746, macro=0.824): + 0.913 0.742 + !recall (micro=0.752, macro=0.827): True False ------ ------- - 0.735 0.914 + 0.742 0.913 precision (micro=0.944, macro=0.667): True False ------ ------- 0.982 0.353 - !precision (micro=0.391, macro=0.667): + !precision (micro=0.39, macro=0.667): True False ------ ------- 0.353 0.982 f1 (micro=0.918, macro=0.712): True False ------ ------- - 0.947 0.477 - !f1 (micro=0.505, macro=0.712): + 0.946 0.478 + !f1 (micro=0.506, macro=0.712): True False ------ ------- - 0.477 0.947 - accuracy (micro=0.903, macro=0.903): + 0.478 0.946 + accuracy (micro=0.902, macro=0.902): True False ------ ------- - 0.903 0.903 - fpr (micro=0.254, macro=0.176): + 0.902 0.902 + fpr (micro=0.248, macro=0.173): True False ------ ------- - 0.265 0.086 + 0.258 0.087 roc_auc (micro=0.932, macro=0.932): True False ------ ------- 0.932 0.932 - pr_auc (micro=0.968, macro=0.772): + pr_auc (micro=0.968, macro=0.774): True False ------ ------- - 0.995 0.55 + 0.995 0.552 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}, 'type': 'object'} diff --git a/model_info/rowiki.damaging.md b/model_info/rowiki.damaging.md index 2d30573c..09d4fe1c 100644 --- a/model_info/rowiki.damaging.md +++ b/model_info/rowiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'labels': [True, False], 'center': True, 'verbose': 0, 'max_depth': 5, 'tol': 0.0001, 'learning_rate': 0.01, 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None, 'presort': 'deprecated', 'loss': 'deviance', 'n_estimators': 700, 'min_impurity_split': None, 'random_state': None, 'max_features': 'log2', 'subsample': 1.0, 'criterion': 'friedman_mse', 'warm_start': False, 'min_samples_leaf': 1, 'ccp_alpha': 0.0, 'init': None, 'multilabel': False, 'max_leaf_nodes': None, 'min_samples_split': 2, 'scale': True} + - params: {'min_impurity_split': None, 'n_estimators': 700, 'multilabel': False, 'random_state': None, 'tol': 0.0001, 'center': True, 'population_rates': None, 'n_iter_no_change': None, 'warm_start': False, 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'max_depth': 5, 'ccp_alpha': 0.0, 'max_features': 'log2', 'loss': 'deviance', 'presort': 'deprecated', 'scale': True, 'min_samples_leaf': 1, 'learning_rate': 0.01, 'label_weights': OrderedDict([(True, 10)]), 'subsample': 1.0, 'labels': [True, False], 'init': None, 'verbose': 0, 'criterion': 'friedman_mse', 'min_weight_fraction_leaf': 0.0, 'min_samples_split': 2, 'validation_fraction': 0.1} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19591): + counts (n=19715): label n ~True ~False ------- ----- --- ------- -------- - True 929 --> 753 176 - False 18662 --> 1172 17490 + True 929 --> 748 181 + False 18786 --> 1167 17619 rates: True False ---------- ------ ------- sample 0.047 0.953 population 0.05 0.95 - match_rate (micro=0.86, macro=0.5): + match_rate (micro=0.861, macro=0.5): True False ------ ------- - 0.1 0.9 - filter_rate (micro=0.14, macro=0.5): + 0.099 0.901 + filter_rate (micro=0.139, macro=0.5): True False ------ ------- - 0.9 0.1 - recall (micro=0.931, macro=0.874): + 0.901 0.099 + recall (micro=0.931, macro=0.872): True False ------ ------- - 0.811 0.937 - !recall (micro=0.817, macro=0.874): + 0.805 0.938 + !recall (micro=0.812, macro=0.872): True False ------ ------- - 0.937 0.811 + 0.938 0.805 precision (micro=0.96, macro=0.696): True False ------ ------- - 0.402 0.99 - !precision (micro=0.431, macro=0.696): + 0.403 0.989 + !precision (micro=0.432, macro=0.696): True False ------ ------- - 0.99 0.402 + 0.989 0.403 f1 (micro=0.942, macro=0.75): True False ------ ------- - 0.538 0.963 + 0.537 0.963 !f1 (micro=0.559, macro=0.75): True False ------ ------- - 0.963 0.538 + 0.963 0.537 accuracy (micro=0.931, macro=0.931): True False ------ ------- 0.931 0.931 - fpr (micro=0.183, macro=0.126): + fpr (micro=0.188, macro=0.128): True False ------ ------- - 0.063 0.189 - roc_auc (micro=0.955, macro=0.955): + 0.062 0.195 + roc_auc (micro=0.956, macro=0.955): True False ------ ------- - 0.955 0.955 - pr_auc (micro=0.976, macro=0.778): + 0.955 0.956 + pr_auc (micro=0.975, macro=0.775): True False ------ ------- - 0.558 0.997 + 0.552 0.997 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'type': 'object'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} diff --git a/model_info/rowiki.goodfaith.md b/model_info/rowiki.goodfaith.md index 5971ce8e..b71d353f 100644 --- a/model_info/rowiki.goodfaith.md +++ b/model_info/rowiki.goodfaith.md @@ -1,49 +1,49 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'center': True, 'max_features': 'log2', 'min_impurity_split': None, 'learning_rate': 0.1, 'population_rates': None, 'labels': [True, False], 'random_state': None, 'min_weight_fraction_leaf': 0.0, 'min_samples_split': 2, 'init': None, 'n_estimators': 300, 'label_weights': OrderedDict([(False, 10)]), 'loss': 'deviance', 'multilabel': False, 'scale': True, 'max_leaf_nodes': None, 'criterion': 'friedman_mse', 'presort': 'deprecated', 'n_iter_no_change': None, 'warm_start': False, 'min_samples_leaf': 1, 'validation_fraction': 0.1, 'max_depth': 3, 'tol': 0.0001, 'min_impurity_decrease': 0.0, 'subsample': 1.0, 'ccp_alpha': 0.0, 'verbose': 0} + - params: {'random_state': None, 'presort': 'deprecated', 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'subsample': 1.0, 'criterion': 'friedman_mse', 'n_iter_no_change': None, 'min_impurity_split': None, 'validation_fraction': 0.1, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'population_rates': None, 'tol': 0.0001, 'loss': 'deviance', 'label_weights': OrderedDict([(False, 10)]), 'max_features': 'log2', 'scale': True, 'multilabel': False, 'n_estimators': 300, 'ccp_alpha': 0.0, 'verbose': 0, 'init': None, 'warm_start': False, 'center': True, 'labels': [True, False], 'min_samples_leaf': 1, 'learning_rate': 0.1, 'max_depth': 3} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19591): + counts (n=19715): label n ~True ~False ------- ----- --- ------- -------- - True 19043 --> 18114 929 - False 548 --> 114 434 + True 19167 --> 18262 905 + False 548 --> 127 421 rates: True False ---------- ------ ------- sample 0.972 0.028 population 0.97 0.03 - match_rate (micro=0.903, macro=0.5): + match_rate (micro=0.905, macro=0.5): True False ------ ------- - 0.929 0.071 - filter_rate (micro=0.097, macro=0.5): + 0.931 0.069 + filter_rate (micro=0.095, macro=0.5): True False ------ ------- - 0.071 0.929 - recall (micro=0.946, macro=0.872): + 0.069 0.931 + recall (micro=0.947, macro=0.861): True False ------ ------- - 0.951 0.792 - !recall (micro=0.797, macro=0.872): + 0.953 0.768 + !recall (micro=0.774, macro=0.861): True False ------ ------- - 0.792 0.951 + 0.768 0.953 precision (micro=0.973, macro=0.664): True False ------ ------- @@ -52,30 +52,30 @@ Model Information: True False ------ ------- 0.335 0.993 - f1 (micro=0.957, macro=0.721): + f1 (micro=0.957, macro=0.72): True False ------ ------- - 0.972 0.471 - !f1 (micro=0.486, macro=0.721): + 0.972 0.467 + !f1 (micro=0.482, macro=0.72): True False ------ ------- - 0.471 0.972 - accuracy (micro=0.946, macro=0.946): + 0.467 0.972 + accuracy (micro=0.947, macro=0.947): True False ------ ------- - 0.946 0.946 - fpr (micro=0.203, macro=0.128): + 0.947 0.947 + fpr (micro=0.226, macro=0.139): True False ------ ------- - 0.208 0.049 - roc_auc (micro=0.96, macro=0.96): + 0.232 0.047 + roc_auc (micro=0.96, macro=0.959): True False ------ ------- - 0.96 0.96 - pr_auc (micro=0.983, macro=0.745): + 0.96 0.959 + pr_auc (micro=0.983, macro=0.742): True False ------ ------- - 0.998 0.491 + 0.998 0.486 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} diff --git a/model_info/ruwiki.damaging.md b/model_info/ruwiki.damaging.md index 92e76417..cc990385 100644 --- a/model_info/ruwiki.damaging.md +++ b/model_info/ruwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'validation_fraction': 0.1, 'n_estimators': 700, 'max_leaf_nodes': None, 'tol': 0.0001, 'criterion': 'friedman_mse', 'min_weight_fraction_leaf': 0.0, 'max_depth': 5, 'population_rates': None, 'init': None, 'max_features': 'log2', 'min_samples_split': 2, 'labels': [True, False], 'warm_start': False, 'ccp_alpha': 0.0, 'scale': True, 'n_iter_no_change': None, 'verbose': 0, 'center': True, 'random_state': None, 'min_impurity_split': None, 'presort': 'deprecated', 'learning_rate': 0.01, 'loss': 'deviance', 'label_weights': OrderedDict([(True, 10)]), 'min_impurity_decrease': 0.0, 'subsample': 1.0, 'min_samples_leaf': 1, 'multilabel': False} + - params: {'multilabel': False, 'min_impurity_split': None, 'loss': 'deviance', 'random_state': None, 'learning_rate': 0.01, 'max_depth': 5, 'n_iter_no_change': None, 'min_samples_split': 2, 'criterion': 'friedman_mse', 'verbose': 0, 'ccp_alpha': 0.0, 'scale': True, 'min_weight_fraction_leaf': 0.0, 'presort': 'deprecated', 'n_estimators': 700, 'validation_fraction': 0.1, 'min_samples_leaf': 1, 'init': None, 'warm_start': False, 'subsample': 1.0, 'max_features': 'log2', 'label_weights': OrderedDict([(True, 10)]), 'min_impurity_decrease': 0.0, 'population_rates': None, 'tol': 0.0001, 'max_leaf_nodes': None, 'center': True, 'labels': [True, False]} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18307): + counts (n=17947): label n ~True ~False ------- ----- --- ------- -------- - True 1052 --> 880 172 - False 17255 --> 2385 14870 + True 1052 --> 895 157 + False 16895 --> 2400 14495 rates: True False ---------- ------ ------- - sample 0.057 0.943 + sample 0.059 0.941 population 0.053 0.947 - match_rate (micro=0.79, macro=0.5): + match_rate (micro=0.786, macro=0.5): True False ------ ------- - 0.176 0.824 - filter_rate (micro=0.21, macro=0.5): + 0.18 0.82 + filter_rate (micro=0.214, macro=0.5): True False ------ ------- - 0.824 0.176 - recall (micro=0.86, macro=0.849): + 0.82 0.18 + recall (micro=0.858, macro=0.854): True False ------ ------- - 0.837 0.862 - !recall (micro=0.838, macro=0.849): + 0.851 0.858 + !recall (micro=0.851, macro=0.854): True False ------ ------- - 0.862 0.837 - precision (micro=0.95, macro=0.622): + 0.858 0.851 + precision (micro=0.951, macro=0.622): True False ------ ------- - 0.255 0.989 - !precision (micro=0.294, macro=0.622): + 0.253 0.99 + !precision (micro=0.292, macro=0.622): True False ------ ------- - 0.989 0.255 - f1 (micro=0.893, macro=0.656): + 0.99 0.253 + f1 (micro=0.891, macro=0.655): True False ------ ------- - 0.391 0.921 - !f1 (micro=0.419, macro=0.656): + 0.39 0.919 + !f1 (micro=0.418, macro=0.655): True False ------ ------- - 0.921 0.391 - accuracy (micro=0.86, macro=0.86): + 0.919 0.39 + accuracy (micro=0.858, macro=0.858): True False ------ ------- - 0.86 0.86 - fpr (micro=0.162, macro=0.151): + 0.858 0.858 + fpr (micro=0.149, macro=0.146): True False ------ ------- - 0.138 0.163 + 0.142 0.149 roc_auc (micro=0.924, macro=0.926): True False ------ ------- - 0.928 0.924 - pr_auc (micro=0.965, macro=0.706): + 0.927 0.924 + pr_auc (micro=0.965, macro=0.707): True False ------ ------- - 0.416 0.996 + 0.419 0.996 - - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} diff --git a/model_info/ruwiki.goodfaith.md b/model_info/ruwiki.goodfaith.md index 673b88cc..534bd96b 100644 --- a/model_info/ruwiki.goodfaith.md +++ b/model_info/ruwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_impurity_split': None, 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'n_iter_no_change': None, 'min_samples_split': 2, 'verbose': 0, 'center': True, 'presort': 'deprecated', 'subsample': 1.0, 'population_rates': None, 'loss': 'deviance', 'label_weights': OrderedDict([(False, 10)]), 'multilabel': False, 'init': None, 'criterion': 'friedman_mse', 'min_samples_leaf': 1, 'min_impurity_decrease': 0.0, 'learning_rate': 0.1, 'validation_fraction': 0.1, 'labels': [True, False], 'scale': True, 'ccp_alpha': 0.0, 'max_depth': 3, 'max_features': 'log2', 'random_state': None, 'warm_start': False, 'n_estimators': 300, 'max_leaf_nodes': None} + - params: {'n_estimators': 300, 'validation_fraction': 0.1, 'presort': 'deprecated', 'n_iter_no_change': None, 'population_rates': None, 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.1, 'max_features': 'log2', 'max_leaf_nodes': None, 'verbose': 0, 'min_impurity_split': None, 'min_samples_leaf': 1, 'center': True, 'multilabel': False, 'subsample': 1.0, 'label_weights': OrderedDict([(False, 10)]), 'labels': [True, False], 'tol': 0.0001, 'scale': True, 'min_samples_split': 2, 'max_depth': 3, 'ccp_alpha': 0.0, 'random_state': None, 'init': None, 'warm_start': False, 'loss': 'deviance', 'min_impurity_decrease': 0.0, 'criterion': 'friedman_mse'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=18307): + counts (n=17947): label n ~True ~False ------- ----- --- ------- -------- - True 17788 --> 16897 891 - False 519 --> 233 286 + True 17428 --> 16532 896 + False 519 --> 229 290 rates: True False ---------- ------ ------- - sample 0.972 0.028 + sample 0.971 0.029 population 0.971 0.029 - match_rate (micro=0.911, macro=0.5): + match_rate (micro=0.909, macro=0.5): True False ------ ------- - 0.936 0.064 - filter_rate (micro=0.089, macro=0.5): + 0.934 0.066 + filter_rate (micro=0.091, macro=0.5): True False ------ ------- - 0.064 0.936 - recall (micro=0.938, macro=0.75): + 0.066 0.934 + recall (micro=0.937, macro=0.754): True False ------ ------- - 0.95 0.551 - !recall (micro=0.562, macro=0.75): + 0.949 0.559 + !recall (micro=0.57, macro=0.754): True False ------ ------- - 0.551 0.95 - precision (micro=0.965, macro=0.616): + 0.559 0.949 + precision (micro=0.965, macro=0.614): True False ------ ------- - 0.986 0.245 - !precision (micro=0.266, macro=0.616): + 0.986 0.243 + !precision (micro=0.264, macro=0.614): True False ------ ------- - 0.245 0.986 - f1 (micro=0.95, macro=0.653): + 0.243 0.986 + f1 (micro=0.949, macro=0.653): True False ------ ------- - 0.968 0.339 - !f1 (micro=0.357, macro=0.653): + 0.967 0.338 + !f1 (micro=0.356, macro=0.653): True False ------ ------- - 0.339 0.968 - accuracy (micro=0.938, macro=0.938): + 0.338 0.967 + accuracy (micro=0.937, macro=0.937): True False ------ ------- - 0.938 0.938 - fpr (micro=0.438, macro=0.25): + 0.937 0.937 + fpr (micro=0.43, macro=0.246): True False ------ ------- - 0.449 0.05 + 0.441 0.051 roc_auc (micro=0.931, macro=0.931): True False ------ ------- - 0.931 0.93 - pr_auc (micro=0.978, macro=0.645): + 0.931 0.931 + pr_auc (micro=0.977, macro=0.641): True False ------ ------- - 0.998 0.293 + 0.998 0.284 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} diff --git a/model_info/sqwiki.damaging.md b/model_info/sqwiki.damaging.md index 4d92f4ee..455e0851 100644 --- a/model_info/sqwiki.damaging.md +++ b/model_info/sqwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'n_iter_no_change': None, 'max_depth': 7, 'subsample': 1.0, 'min_samples_leaf': 1, 'min_impurity_split': None, 'presort': 'deprecated', 'tol': 0.0001, 'multilabel': False, 'max_features': 'log2', 'init': None, 'loss': 'deviance', 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'label_weights': OrderedDict([(True, 10)]), 'min_impurity_decrease': 0.0, 'n_estimators': 500, 'random_state': None, 'population_rates': None, 'max_leaf_nodes': None, 'min_samples_split': 2, 'criterion': 'friedman_mse', 'labels': [True, False], 'center': True, 'learning_rate': 0.01, 'validation_fraction': 0.1, 'warm_start': False, 'scale': True} + - params: {'learning_rate': 0.01, 'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'init': None, 'loss': 'deviance', 'tol': 0.0001, 'random_state': None, 'min_samples_split': 2, 'presort': 'deprecated', 'multilabel': False, 'min_impurity_decrease': 0.0, 'warm_start': False, 'scale': True, 'max_depth': 7, 'subsample': 1.0, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'center': True, 'criterion': 'friedman_mse', 'labels': [True, False], 'population_rates': None, 'min_samples_leaf': 1, 'max_features': 'log2', 'verbose': 0, 'n_estimators': 500, 'min_impurity_split': None, 'ccp_alpha': 0.0, 'n_iter_no_change': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19568): + counts (n=19543): label n ~True ~False ------- ----- --- ------- -------- - True 528 --> 328 200 - False 19040 --> 659 18381 + True 526 --> 342 184 + False 19017 --> 768 18249 rates: True False ---------- ------ ------- sample 0.027 0.973 population 0.029 0.971 - match_rate (micro=0.923, macro=0.5): + match_rate (micro=0.917, macro=0.5): True False ------ ------- - 0.051 0.949 - filter_rate (micro=0.077, macro=0.5): + 0.058 0.942 + filter_rate (micro=0.083, macro=0.5): True False ------ ------- - 0.949 0.051 - recall (micro=0.956, macro=0.793): + 0.942 0.058 + recall (micro=0.951, macro=0.805): True False ------ ------- - 0.621 0.965 - !recall (micro=0.631, macro=0.793): + 0.65 0.96 + !recall (micro=0.659, macro=0.805): True False ------ ------- - 0.965 0.621 - precision (micro=0.97, macro=0.668): + 0.96 0.65 + precision (micro=0.97, macro=0.656): True False ------ ------- - 0.347 0.989 - !precision (micro=0.365, macro=0.668): + 0.322 0.989 + !precision (micro=0.342, macro=0.656): True False ------ ------- - 0.989 0.347 - f1 (micro=0.962, macro=0.711): + 0.989 0.322 + f1 (micro=0.959, macro=0.703): True False ------ ------- - 0.445 0.977 - !f1 (micro=0.46, macro=0.711): + 0.431 0.974 + !f1 (micro=0.447, macro=0.703): True False ------ ------- - 0.977 0.445 - accuracy (micro=0.956, macro=0.956): + 0.974 0.431 + accuracy (micro=0.951, macro=0.951): True False ------ ------- - 0.956 0.956 - fpr (micro=0.369, macro=0.207): + 0.951 0.951 + fpr (micro=0.341, macro=0.195): True False ------ ------- - 0.035 0.379 + 0.04 0.35 roc_auc (micro=0.95, macro=0.95): True False ------ ------- 0.951 0.95 - pr_auc (micro=0.982, macro=0.718): + pr_auc (micro=0.983, macro=0.725): True False ------ ------- - 0.438 0.998 + 0.453 0.998 - - score_schema: {'properties': {'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/sqwiki.goodfaith.md b/model_info/sqwiki.goodfaith.md index 68367f1f..90ebe2a8 100644 --- a/model_info/sqwiki.goodfaith.md +++ b/model_info/sqwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'random_state': None, 'max_depth': 7, 'warm_start': False, 'verbose': 0, 'population_rates': None, 'min_samples_leaf': 1, 'center': True, 'min_impurity_split': None, 'scale': True, 'learning_rate': 0.01, 'criterion': 'friedman_mse', 'min_samples_split': 2, 'multilabel': False, 'n_estimators': 500, 'validation_fraction': 0.1, 'max_features': 'log2', 'labels': [True, False], 'tol': 0.0001, 'presort': 'deprecated', 'subsample': 1.0, 'label_weights': OrderedDict([(False, 10)]), 'init': None, 'loss': 'deviance', 'n_iter_no_change': None, 'max_leaf_nodes': None, 'ccp_alpha': 0.0} + - params: {'labels': [True, False], 'presort': 'deprecated', 'validation_fraction': 0.1, 'warm_start': False, 'label_weights': OrderedDict([(False, 10)]), 'init': None, 'n_iter_no_change': None, 'scale': True, 'loss': 'deviance', 'min_weight_fraction_leaf': 0.0, 'criterion': 'friedman_mse', 'learning_rate': 0.01, 'tol': 0.0001, 'ccp_alpha': 0.0, 'random_state': None, 'min_samples_split': 2, 'min_impurity_decrease': 0.0, 'verbose': 0, 'max_depth': 7, 'center': True, 'min_impurity_split': None, 'max_leaf_nodes': None, 'subsample': 1.0, 'n_estimators': 500, 'population_rates': None, 'multilabel': False, 'min_samples_leaf': 1, 'max_features': 'log2'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19568): + counts (n=19543): label n ~True ~False ------- ----- --- ------- -------- - True 19137 --> 18499 638 - False 431 --> 215 216 + True 19113 --> 18374 739 + False 430 --> 182 248 rates: True False ---------- ------ ------- sample 0.978 0.022 population 0.976 0.024 - match_rate (micro=0.934, macro=0.5): + match_rate (micro=0.927, macro=0.5): True False ------ ------- - 0.956 0.044 - filter_rate (micro=0.066, macro=0.5): + 0.949 0.051 + filter_rate (micro=0.073, macro=0.5): True False ------ ------- - 0.044 0.956 - recall (micro=0.956, macro=0.734): + 0.051 0.949 + recall (micro=0.952, macro=0.769): True False ------ ------- - 0.967 0.501 - !recall (micro=0.512, macro=0.734): + 0.961 0.577 + !recall (micro=0.586, macro=0.769): True False ------ ------- - 0.501 0.967 - precision (micro=0.971, macro=0.627): + 0.577 0.961 + precision (micro=0.972, macro=0.627): True False ------ ------- - 0.988 0.267 - !precision (micro=0.284, macro=0.627): + 0.989 0.265 + !precision (micro=0.283, macro=0.627): True False ------ ------- - 0.267 0.988 - f1 (micro=0.962, macro=0.663): + 0.265 0.989 + f1 (micro=0.961, macro=0.669): True False ------ ------- - 0.977 0.348 - !f1 (micro=0.363, macro=0.663): + 0.975 0.364 + !f1 (micro=0.378, macro=0.669): True False ------ ------- - 0.348 0.977 - accuracy (micro=0.956, macro=0.956): + 0.364 0.975 + accuracy (micro=0.952, macro=0.952): True False ------ ------- - 0.956 0.956 - fpr (micro=0.488, macro=0.266): + 0.952 0.952 + fpr (micro=0.414, macro=0.231): True False ------ ------- - 0.499 0.033 - roc_auc (micro=0.931, macro=0.931): + 0.423 0.039 + roc_auc (micro=0.935, macro=0.935): True False ------ ------- - 0.931 0.931 - pr_auc (micro=0.982, macro=0.658): + 0.935 0.935 + pr_auc (micro=0.982, macro=0.661): True False ------ ------- - 0.998 0.318 + 0.998 0.324 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} diff --git a/model_info/srwiki.damaging.md b/model_info/srwiki.damaging.md index 54b2e1a3..ee50825c 100644 --- a/model_info/srwiki.damaging.md +++ b/model_info/srwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'labels': [True, False], 'max_depth': 7, 'n_estimators': 700, 'validation_fraction': 0.1, 'min_samples_leaf': 1, 'population_rates': None, 'max_features': 'log2', 'scale': True, 'center': True, 'warm_start': False, 'tol': 0.0001, 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'min_impurity_split': None, 'max_leaf_nodes': None, 'label_weights': OrderedDict([(True, 10)]), 'loss': 'deviance', 'n_iter_no_change': None, 'multilabel': False, 'verbose': 0, 'subsample': 1.0, 'min_samples_split': 2, 'random_state': None, 'min_impurity_decrease': 0.0, 'presort': 'deprecated', 'init': None, 'criterion': 'friedman_mse', 'learning_rate': 0.01} + - params: {'center': True, 'learning_rate': 0.01, 'tol': 0.0001, 'subsample': 1.0, 'loss': 'deviance', 'ccp_alpha': 0.0, 'scale': True, 'multilabel': False, 'n_estimators': 700, 'min_impurity_split': None, 'max_depth': 7, 'warm_start': False, 'labels': [True, False], 'max_leaf_nodes': None, 'presort': 'deprecated', 'verbose': 0, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'init': None, 'n_iter_no_change': None, 'population_rates': None, 'min_samples_split': 2, 'min_samples_leaf': 1, 'min_impurity_decrease': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'validation_fraction': 0.1, 'max_features': 'log2', 'criterion': 'friedman_mse'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=119826): + counts (n=118983): label n ~True ~False ------- ------ --- ------- -------- - True 418 --> 188 230 - False 119408 --> 230 119178 + True 417 --> 183 234 + False 118566 --> 253 118313 rates: True False ---------- ------ ------- - sample 0.003 0.997 + sample 0.004 0.996 population 0.006 0.994 match_rate (micro=0.99, macro=0.5): True False ------ ------- - 0.004 0.996 + 0.005 0.995 filter_rate (micro=0.01, macro=0.5): True False ------ ------- - 0.996 0.004 - recall (micro=0.995, macro=0.724): + 0.995 0.005 + recall (micro=0.995, macro=0.718): True False ------ ------- - 0.45 0.998 - !recall (micro=0.453, macro=0.724): + 0.439 0.998 + !recall (micro=0.442, macro=0.718): True False ------ ------- - 0.998 0.45 - precision (micro=0.994, macro=0.783): + 0.998 0.439 + precision (micro=0.994, macro=0.767): True False ------ ------- - 0.569 0.997 - !precision (micro=0.572, macro=0.783): + 0.538 0.997 + !precision (micro=0.541, macro=0.767): True False ------ ------- - 0.997 0.569 - f1 (micro=0.995, macro=0.75): + 0.997 0.538 + f1 (micro=0.994, macro=0.74): True False ------ ------- - 0.503 0.997 - !f1 (micro=0.505, macro=0.75): + 0.483 0.997 + !f1 (micro=0.486, macro=0.74): True False ------ ------- - 0.997 0.503 + 0.997 0.483 accuracy (micro=0.995, macro=0.995): True False ------ ------- 0.995 0.995 - fpr (micro=0.547, macro=0.276): + fpr (micro=0.558, macro=0.282): True False ------ ------- - 0.002 0.55 - roc_auc (micro=0.986, macro=0.984): + 0.002 0.561 + roc_auc (micro=0.987, macro=0.985): True False ------ ------- - 0.982 0.986 - pr_auc (micro=0.997, macro=0.742): + 0.984 0.987 + pr_auc (micro=0.997, macro=0.739): True False ------ ------- - 0.484 1 + 0.478 1 - - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}} diff --git a/model_info/srwiki.goodfaith.md b/model_info/srwiki.goodfaith.md index 20a1bf6e..c4380037 100644 --- a/model_info/srwiki.goodfaith.md +++ b/model_info/srwiki.goodfaith.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'warm_start': False, 'multilabel': False, 'presort': 'deprecated', 'n_estimators': 500, 'max_depth': 5, 'validation_fraction': 0.1, 'verbose': 0, 'ccp_alpha': 0.0, 'label_weights': OrderedDict([(False, 10)]), 'loss': 'deviance', 'random_state': None, 'subsample': 1.0, 'n_iter_no_change': None, 'min_impurity_split': None, 'scale': True, 'population_rates': None, 'min_samples_split': 2, 'max_leaf_nodes': None, 'min_samples_leaf': 1, 'criterion': 'friedman_mse', 'max_features': 'log2', 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.01, 'init': None, 'center': True, 'tol': 0.0001, 'labels': [True, False], 'min_impurity_decrease': 0.0} + - params: {'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(False, 10)]), 'tol': 0.0001, 'validation_fraction': 0.1, 'warm_start': False, 'max_depth': 5, 'min_impurity_decrease': 0.0, 'presort': 'deprecated', 'loss': 'deviance', 'population_rates': None, 'labels': [True, False], 'center': True, 'subsample': 1.0, 'n_estimators': 500, 'multilabel': False, 'min_samples_split': 2, 'min_samples_leaf': 1, 'max_leaf_nodes': None, 'learning_rate': 0.01, 'random_state': None, 'min_impurity_split': None, 'verbose': 0, 'init': None, 'n_iter_no_change': None, 'scale': True, 'max_features': 'log2', 'criterion': 'friedman_mse', 'ccp_alpha': 0.0} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=119826): + counts (n=118983): label n ~True ~False ------- ------ --- ------- -------- - True 119680 --> 119542 138 - False 146 --> 60 86 + True 118837 --> 118694 143 + False 146 --> 58 88 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.003 0.997 - recall (micro=0.997, macro=0.794): + recall (micro=0.997, macro=0.801): True False ------ ------- - 0.999 0.589 - !recall (micro=0.591, macro=0.794): + 0.999 0.603 + !recall (micro=0.604, macro=0.801): True False ------ ------- - 0.589 0.999 - precision (micro=0.997, macro=0.83): + 0.603 0.999 + precision (micro=0.997, macro=0.828): True False ------ ------- - 0.998 0.662 - !precision (micro=0.663, macro=0.83): + 0.998 0.657 + !precision (micro=0.658, macro=0.828): True False ------ ------- - 0.662 0.998 - f1 (micro=0.997, macro=0.811): + 0.657 0.998 + f1 (micro=0.997, macro=0.814): True False ------ ------- - 0.999 0.623 - !f1 (micro=0.625, macro=0.811): + 0.999 0.629 + !f1 (micro=0.63, macro=0.814): True False ------ ------- - 0.623 0.999 + 0.629 0.999 accuracy (micro=0.997, macro=0.997): True False ------ ------- 0.997 0.997 - fpr (micro=0.409, macro=0.206): + fpr (micro=0.396, macro=0.199): True False ------ ------- - 0.411 0.001 - roc_auc (micro=0.995, macro=0.992): + 0.397 0.001 + roc_auc (micro=0.994, macro=0.991): True False ------ ------- - 0.995 0.988 - pr_auc (micro=0.999, macro=0.811): + 0.994 0.987 + pr_auc (micro=0.998, macro=0.805): True False ------ ------- - 1 0.623 + 1 0.61 - - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/svwiki.damaging.md b/model_info/svwiki.damaging.md index 9004e2a2..56a71af9 100644 --- a/model_info/svwiki.damaging.md +++ b/model_info/svwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'multilabel': False, 'n_iter_no_change': None, 'population_rates': None, 'warm_start': False, 'scale': True, 'ccp_alpha': 0.0, 'criterion': 'friedman_mse', 'random_state': None, 'loss': 'deviance', 'center': True, 'validation_fraction': 0.1, 'labels': [True, False], 'min_samples_split': 2, 'max_leaf_nodes': None, 'n_estimators': 700, 'max_depth': 5, 'max_features': 'log2', 'min_impurity_split': None, 'label_weights': OrderedDict([(True, 10)]), 'presort': 'deprecated', 'init': None, 'min_samples_leaf': 1, 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.01, 'min_impurity_decrease': 0.0, 'tol': 0.0001, 'verbose': 0, 'subsample': 1.0} + - params: {'n_estimators': 700, 'presort': 'deprecated', 'criterion': 'friedman_mse', 'scale': True, 'loss': 'deviance', 'multilabel': False, 'max_leaf_nodes': None, 'warm_start': False, 'min_impurity_split': None, 'subsample': 1.0, 'max_depth': 5, 'random_state': None, 'labels': [True, False], 'min_impurity_decrease': 0.0, 'validation_fraction': 0.1, 'tol': 0.0001, 'center': True, 'ccp_alpha': 0.0, 'min_samples_leaf': 1, 'init': None, 'max_features': 'log2', 'verbose': 0, 'population_rates': None, 'learning_rate': 0.01, 'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'n_iter_no_change': None, 'min_samples_split': 2} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=36373): + counts (n=32250): label n ~True ~False ------- ----- --- ------- -------- - True 604 --> 485 119 - False 35769 --> 708 35061 + True 603 --> 486 117 + False 31647 --> 713 30934 rates: True False ---------- ------ ------- - sample 0.017 0.983 + sample 0.019 0.981 population 0.025 0.975 - match_rate (micro=0.937, macro=0.5): + match_rate (micro=0.935, macro=0.5): True False ------ ------- - 0.04 0.96 - filter_rate (micro=0.063, macro=0.5): + 0.042 0.958 + filter_rate (micro=0.065, macro=0.5): True False ------ ------- - 0.96 0.04 - recall (micro=0.976, macro=0.892): + 0.958 0.042 + recall (micro=0.973, macro=0.892): True False ------ ------- - 0.803 0.98 - !recall (micro=0.807, macro=0.892): + 0.806 0.977 + !recall (micro=0.81, macro=0.892): True False ------ ------- - 0.98 0.803 - precision (micro=0.983, macro=0.753): + 0.977 0.806 + precision (micro=0.982, macro=0.738): True False ------ ------- - 0.512 0.995 - !precision (micro=0.524, macro=0.753): + 0.481 0.995 + !precision (micro=0.494, macro=0.738): True False ------ ------- - 0.995 0.512 - f1 (micro=0.978, macro=0.806): + 0.995 0.481 + f1 (micro=0.976, macro=0.794): True False ------ ------- - 0.625 0.987 - !f1 (micro=0.634, macro=0.806): + 0.602 0.986 + !f1 (micro=0.612, macro=0.794): True False ------ ------- - 0.987 0.625 - accuracy (micro=0.976, macro=0.976): + 0.986 0.602 + accuracy (micro=0.973, macro=0.973): True False ------ ------- - 0.976 0.976 - fpr (micro=0.193, macro=0.108): + 0.973 0.973 + fpr (micro=0.19, macro=0.108): True False ------ ------- - 0.02 0.197 - roc_auc (micro=0.975, macro=0.975): + 0.023 0.194 + roc_auc (micro=0.974, macro=0.974): True False ------ ------- - 0.975 0.975 - pr_auc (micro=0.992, macro=0.856): + 0.974 0.974 + pr_auc (micro=0.992, macro=0.849): True False ------ ------- - 0.713 0.999 + 0.699 0.999 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} + - score_schema: {'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/svwiki.goodfaith.md b/model_info/svwiki.goodfaith.md index f9930e75..5ac62864 100644 --- a/model_info/svwiki.goodfaith.md +++ b/model_info/svwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'labels': [True, False], 'validation_fraction': 0.1, 'verbose': 0, 'ccp_alpha': 0.0, 'multilabel': False, 'criterion': 'friedman_mse', 'subsample': 1.0, 'min_samples_leaf': 1, 'max_features': 'log2', 'tol': 0.0001, 'n_iter_no_change': None, 'warm_start': False, 'init': None, 'scale': True, 'min_samples_split': 2, 'presort': 'deprecated', 'label_weights': OrderedDict([(False, 10)]), 'max_depth': 7, 'learning_rate': 0.01, 'center': True, 'loss': 'deviance', 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None, 'random_state': None, 'min_impurity_split': None, 'n_estimators': 500, 'min_weight_fraction_leaf': 0.0, 'population_rates': None} + - params: {'verbose': 0, 'max_depth': 7, 'min_impurity_split': None, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'min_samples_split': 2, 'warm_start': False, 'multilabel': False, 'center': True, 'max_features': 'log2', 'labels': [True, False], 'criterion': 'friedman_mse', 'min_impurity_decrease': 0.0, 'min_samples_leaf': 1, 'label_weights': OrderedDict([(False, 10)]), 'learning_rate': 0.01, 'n_estimators': 500, 'subsample': 1.0, 'random_state': None, 'population_rates': None, 'init': None, 'max_leaf_nodes': None, 'scale': True, 'ccp_alpha': 0.0, 'loss': 'deviance', 'presort': 'deprecated', 'tol': 0.0001, 'n_iter_no_change': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=36373): + counts (n=32250): label n ~True ~False ------- ----- --- ------- -------- - True 35966 --> 35784 182 - False 407 --> 161 246 + True 31844 --> 31692 152 + False 406 --> 172 234 rates: True False ---------- ------ ------- - sample 0.989 0.011 + sample 0.987 0.013 population 0.982 0.018 - match_rate (micro=0.967, macro=0.5): + match_rate (micro=0.968, macro=0.5): True False ------ ------- - 0.984 0.016 - filter_rate (micro=0.033, macro=0.5): + 0.985 0.015 + filter_rate (micro=0.032, macro=0.5): True False ------ ------- - 0.016 0.984 - recall (micro=0.988, macro=0.8): + 0.015 0.985 + recall (micro=0.988, macro=0.786): True False ------ ------- - 0.995 0.604 - !recall (micro=0.611, macro=0.8): + 0.995 0.576 + !recall (micro=0.584, macro=0.786): True False ------ ------- - 0.604 0.995 - precision (micro=0.987, macro=0.838): + 0.576 0.995 + precision (micro=0.987, macro=0.839): True False ------ ------- - 0.993 0.683 - !precision (micro=0.688, macro=0.838): + 0.992 0.685 + !precision (micro=0.691, macro=0.839): True False ------ ------- - 0.683 0.993 - f1 (micro=0.988, macro=0.818): + 0.685 0.992 + f1 (micro=0.987, macro=0.81): True False ------ ------- - 0.994 0.641 - !f1 (micro=0.648, macro=0.818): + 0.994 0.626 + !f1 (micro=0.633, macro=0.81): True False ------ ------- - 0.641 0.994 + 0.626 0.994 accuracy (micro=0.988, macro=0.988): True False ------ ------- 0.988 0.988 - fpr (micro=0.389, macro=0.2): + fpr (micro=0.416, macro=0.214): True False ------ ------- - 0.396 0.005 - roc_auc (micro=0.978, macro=0.976): + 0.424 0.005 + roc_auc (micro=0.98, macro=0.978): True False ------ ------- - 0.978 0.975 - pr_auc (micro=0.994, macro=0.862): + 0.98 0.975 + pr_auc (micro=0.994, macro=0.858): True False ------ ------- - 0.999 0.725 + 0.999 0.716 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} diff --git a/model_info/tawiki.reverted.md b/model_info/tawiki.reverted.md index da2581bd..52771976 100644 --- a/model_info/tawiki.reverted.md +++ b/model_info/tawiki.reverted.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'random_state': None, 'min_samples_split': 2, 'label_weights': OrderedDict([(True, 10)]), 'n_iter_no_change': None, 'labels': [True, False], 'init': None, 'min_impurity_decrease': 0.0, 'loss': 'deviance', 'verbose': 0, 'scale': True, 'warm_start': False, 'presort': 'deprecated', 'min_weight_fraction_leaf': 0.0, 'max_depth': 7, 'criterion': 'friedman_mse', 'population_rates': None, 'learning_rate': 0.01, 'tol': 0.0001, 'max_features': 'log2', 'max_leaf_nodes': None, 'min_impurity_split': None, 'multilabel': False, 'validation_fraction': 0.1, 'subsample': 1.0, 'ccp_alpha': 0.0, 'n_estimators': 500, 'min_samples_leaf': 1, 'center': True} + - params: {'ccp_alpha': 0.0, 'n_iter_no_change': None, 'criterion': 'friedman_mse', 'center': True, 'multilabel': False, 'max_leaf_nodes': None, 'validation_fraction': 0.1, 'random_state': None, 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None, 'min_samples_leaf': 1, 'max_depth': 7, 'min_weight_fraction_leaf': 0.0, 'labels': [True, False], 'init': None, 'subsample': 1.0, 'tol': 0.0001, 'warm_start': False, 'scale': True, 'loss': 'deviance', 'learning_rate': 0.01, 'verbose': 0, 'min_impurity_split': None, 'max_features': 'log2', 'min_impurity_decrease': 0.0, 'min_samples_split': 2, 'presort': 'deprecated', 'n_estimators': 500} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19222): + counts (n=19145): label n ~True ~False ------- ----- --- ------- -------- - True 282 --> 72 210 - False 18940 --> 204 18736 + True 296 --> 88 208 + False 18849 --> 216 18633 rates: True False ---------- ------ ------- sample 0.015 0.985 population 0.016 0.984 - match_rate (micro=0.97, macro=0.5): + match_rate (micro=0.969, macro=0.5): True False ------ ------- - 0.015 0.985 - filter_rate (micro=0.03, macro=0.5): + 0.016 0.984 + filter_rate (micro=0.031, macro=0.5): True False ------ ------- - 0.985 0.015 - recall (micro=0.978, macro=0.622): + 0.984 0.016 + recall (micro=0.978, macro=0.643): True False ------ ------- - 0.255 0.989 - !recall (micro=0.267, macro=0.622): + 0.297 0.989 + !recall (micro=0.308, macro=0.643): True False ------ ------- - 0.989 0.255 - precision (micro=0.977, macro=0.632): + 0.989 0.297 + precision (micro=0.978, macro=0.642): True False ------ ------- - 0.277 0.988 - !precision (micro=0.288, macro=0.632): + 0.295 0.989 + !precision (micro=0.306, macro=0.642): True False ------ ------- - 0.988 0.277 - f1 (micro=0.977, macro=0.627): + 0.989 0.295 + f1 (micro=0.978, macro=0.642): True False ------ ------- - 0.266 0.989 - !f1 (micro=0.277, macro=0.627): + 0.296 0.989 + !f1 (micro=0.307, macro=0.642): True False ------ ------- - 0.989 0.266 + 0.989 0.296 accuracy (micro=0.978, macro=0.978): True False ------ ------- 0.978 0.978 - fpr (micro=0.733, macro=0.378): + fpr (micro=0.692, macro=0.357): True False ------ ------- - 0.011 0.745 - roc_auc (micro=0.893, macro=0.893): + 0.011 0.703 + roc_auc (micro=0.895, macro=0.894): True False ------ ------- - 0.893 0.893 - pr_auc (micro=0.985, macro=0.604): + 0.894 0.895 + pr_auc (micro=0.986, macro=0.614): True False ------ ------- - 0.211 0.998 + 0.231 0.998 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object'} diff --git a/model_info/trwiki.damaging.md b/model_info/trwiki.damaging.md index 2f6ccdab..b8478dee 100644 --- a/model_info/trwiki.damaging.md +++ b/model_info/trwiki.damaging.md @@ -1,28 +1,28 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'min_samples_split': 2, 'subsample': 1.0, 'min_impurity_split': None, 'loss': 'deviance', 'min_impurity_decrease': 0.0, 'validation_fraction': 0.1, 'presort': 'deprecated', 'labels': [True, False], 'population_rates': None, 'criterion': 'friedman_mse', 'scale': True, 'center': True, 'min_samples_leaf': 1, 'warm_start': False, 'n_iter_no_change': None, 'max_depth': 7, 'min_weight_fraction_leaf': 0.0, 'init': None, 'label_weights': OrderedDict([(True, 10)]), 'verbose': 0, 'n_estimators': 700, 'learning_rate': 0.01, 'ccp_alpha': 0.0, 'max_features': 'log2', 'multilabel': False, 'tol': 0.0001, 'random_state': None, 'max_leaf_nodes': None} + - params: {'warm_start': False, 'min_samples_split': 2, 'verbose': 0, 'loss': 'deviance', 'multilabel': False, 'max_leaf_nodes': None, 'subsample': 1.0, 'scale': True, 'presort': 'deprecated', 'max_depth': 7, 'max_features': 'log2', 'population_rates': None, 'min_samples_leaf': 1, 'ccp_alpha': 0.0, 'min_impurity_decrease': 0.0, 'n_estimators': 700, 'n_iter_no_change': None, 'min_weight_fraction_leaf': 0.0, 'validation_fraction': 0.1, 'tol': 0.0001, 'label_weights': OrderedDict([(True, 10)]), 'labels': [True, False], 'center': True, 'criterion': 'friedman_mse', 'init': None, 'learning_rate': 0.01, 'random_state': None, 'min_impurity_split': None} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19319): + counts (n=19263): label n ~True ~False ------- ----- --- ------- -------- - True 1087 --> 812 275 - False 18232 --> 2151 16081 + True 1086 --> 811 275 + False 18177 --> 2139 16038 rates: True False ---------- ------ ------- @@ -36,11 +36,11 @@ Model Information: True False ------ ------- 0.851 0.149 - recall (micro=0.875, macro=0.815): + recall (micro=0.876, macro=0.815): True False ------ ------- 0.747 0.882 - !recall (micro=0.754, macro=0.815): + !recall (micro=0.753, macro=0.815): True False ------ ------- 0.882 0.747 @@ -48,34 +48,34 @@ Model Information: True False ------ ------- 0.248 0.985 - !precision (micro=0.284, macro=0.617): + !precision (micro=0.285, macro=0.617): True False ------ ------- 0.985 0.248 f1 (micro=0.903, macro=0.652): True False ------ ------- - 0.372 0.931 + 0.373 0.931 !f1 (micro=0.4, macro=0.652): True False ------ ------- - 0.931 0.372 - accuracy (micro=0.875, macro=0.875): + 0.931 0.373 + accuracy (micro=0.876, macro=0.876): True False ------ ------- - 0.875 0.875 - fpr (micro=0.246, macro=0.185): + 0.876 0.876 + fpr (micro=0.247, macro=0.185): True False ------ ------- 0.118 0.253 - roc_auc (micro=0.911, macro=0.912): + roc_auc (micro=0.91, macro=0.91): True False ------ ------- - 0.912 0.911 - pr_auc (micro=0.961, macro=0.655): + 0.911 0.91 + pr_auc (micro=0.961, macro=0.653): True False ------ ------- - 0.314 0.995 + 0.311 0.995 - - score_schema: {'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} diff --git a/model_info/trwiki.goodfaith.md b/model_info/trwiki.goodfaith.md index c776e37f..7dee4dc8 100644 --- a/model_info/trwiki.goodfaith.md +++ b/model_info/trwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'learning_rate': 0.01, 'center': True, 'warm_start': False, 'label_weights': OrderedDict([(False, 10)]), 'validation_fraction': 0.1, 'init': None, 'min_samples_leaf': 1, 'subsample': 1.0, 'max_leaf_nodes': None, 'min_samples_split': 2, 'random_state': None, 'n_iter_no_change': None, 'verbose': 0, 'min_impurity_decrease': 0.0, 'tol': 0.0001, 'presort': 'deprecated', 'multilabel': False, 'criterion': 'friedman_mse', 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'scale': True, 'n_estimators': 700, 'min_impurity_split': None, 'loss': 'deviance', 'labels': [True, False], 'max_features': 'log2', 'max_depth': 7, 'population_rates': None} + - params: {'n_estimators': 700, 'population_rates': None, 'min_weight_fraction_leaf': 0.0, 'validation_fraction': 0.1, 'learning_rate': 0.01, 'tol': 0.0001, 'ccp_alpha': 0.0, 'center': True, 'n_iter_no_change': None, 'labels': [True, False], 'criterion': 'friedman_mse', 'verbose': 0, 'max_features': 'log2', 'multilabel': False, 'random_state': None, 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'warm_start': False, 'scale': True, 'min_impurity_split': None, 'label_weights': OrderedDict([(False, 10)]), 'loss': 'deviance', 'max_depth': 7, 'min_samples_split': 2, 'init': None, 'subsample': 1.0, 'min_samples_leaf': 1, 'presort': 'deprecated'} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19319): + counts (n=19263): label n ~True ~False ------- ----- --- ------- -------- - True 18499 --> 16848 1651 - False 820 --> 292 528 + True 18443 --> 16817 1626 + False 820 --> 288 532 rates: True False ---------- ------ ------- - sample 0.958 0.042 + sample 0.957 0.043 population 0.954 0.046 match_rate (micro=0.85, macro=0.5): True False ------ ------- - 0.885 0.115 + 0.886 0.114 filter_rate (micro=0.15, macro=0.5): True False ------ ------- - 0.115 0.885 - recall (micro=0.898, macro=0.777): + 0.114 0.886 + recall (micro=0.9, macro=0.78): True False ------ ------- - 0.911 0.644 - !recall (micro=0.656, macro=0.777): + 0.912 0.649 + !recall (micro=0.661, macro=0.78): True False ------ ------- - 0.644 0.911 - precision (micro=0.948, macro=0.62): + 0.649 0.912 + precision (micro=0.949, macro=0.622): True False ------ ------- - 0.981 0.259 - !precision (micro=0.292, macro=0.62): + 0.982 0.262 + !precision (micro=0.296, macro=0.622): True False ------ ------- - 0.259 0.981 - f1 (micro=0.918, macro=0.657): + 0.262 0.982 + f1 (micro=0.919, macro=0.66): True False ------ ------- - 0.945 0.369 - !f1 (micro=0.396, macro=0.657): + 0.945 0.374 + !f1 (micro=0.4, macro=0.66): True False ------ ------- - 0.369 0.945 - accuracy (micro=0.898, macro=0.898): + 0.374 0.945 + accuracy (micro=0.9, macro=0.9): True False ------ ------- - 0.898 0.898 - fpr (micro=0.344, macro=0.223): + 0.9 0.9 + fpr (micro=0.339, macro=0.22): True False ------ ------- - 0.356 0.089 - roc_auc (micro=0.911, macro=0.911): + 0.351 0.088 + roc_auc (micro=0.91, macro=0.91): True False ------ ------- - 0.911 0.911 - pr_auc (micro=0.964, macro=0.653): + 0.91 0.911 + pr_auc (micro=0.963, macro=0.65): True False ------ ------- - 0.995 0.311 + 0.995 0.304 - - score_schema: {'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/ukwiki.damaging.md b/model_info/ukwiki.damaging.md index 7b8fda60..3d2a8bee 100644 --- a/model_info/ukwiki.damaging.md +++ b/model_info/ukwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'scale': True, 'population_rates': None, 'ccp_alpha': 0.0, 'min_impurity_split': None, 'labels': [True, False], 'min_samples_leaf': 1, 'center': True, 'subsample': 1.0, 'presort': 'deprecated', 'loss': 'deviance', 'init': None, 'validation_fraction': 0.1, 'verbose': 0, 'max_depth': 5, 'label_weights': OrderedDict([(True, 10)]), 'max_features': 'log2', 'n_estimators': 700, 'multilabel': False, 'random_state': None, 'tol': 0.0001, 'min_impurity_decrease': 0.0, 'min_samples_split': 2, 'n_iter_no_change': None, 'learning_rate': 0.01, 'max_leaf_nodes': None, 'criterion': 'friedman_mse', 'min_weight_fraction_leaf': 0.0, 'warm_start': False} + - params: {'min_impurity_split': None, 'verbose': 0, 'warm_start': False, 'max_depth': 5, 'min_samples_split': 2, 'min_samples_leaf': 1, 'n_iter_no_change': None, 'validation_fraction': 0.1, 'presort': 'deprecated', 'scale': True, 'max_features': 'log2', 'random_state': None, 'labels': [True, False], 'center': True, 'n_estimators': 700, 'ccp_alpha': 0.0, 'population_rates': None, 'subsample': 1.0, 'multilabel': False, 'tol': 0.0001, 'label_weights': OrderedDict([(True, 10)]), 'min_weight_fraction_leaf': 0.0, 'loss': 'deviance', 'min_impurity_decrease': 0.0, 'learning_rate': 0.01, 'max_leaf_nodes': None, 'criterion': 'friedman_mse', 'init': None} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19122): + counts (n=19182): label n ~True ~False ------- ----- --- ------- -------- - True 434 --> 276 158 - False 18688 --> 848 17840 + True 434 --> 269 165 + False 18748 --> 825 17923 rates: True False ---------- ------ ------- sample 0.023 0.977 population 0.022 0.978 - match_rate (micro=0.921, macro=0.5): + match_rate (micro=0.923, macro=0.5): True False ------ ------- - 0.059 0.941 - filter_rate (micro=0.079, macro=0.5): + 0.057 0.943 + filter_rate (micro=0.077, macro=0.5): True False ------ ------- - 0.941 0.059 - recall (micro=0.947, macro=0.795): + 0.943 0.057 + recall (micro=0.948, macro=0.788): True False ------ ------- - 0.636 0.955 - !recall (micro=0.643, macro=0.795): + 0.62 0.956 + !recall (micro=0.627, macro=0.788): True False ------ ------- - 0.955 0.636 + 0.956 0.62 precision (micro=0.974, macro=0.618): True False ------ ------- - 0.244 0.991 + 0.245 0.991 !precision (micro=0.261, macro=0.618): True False ------ ------- - 0.991 0.244 - f1 (micro=0.959, macro=0.663): + 0.991 0.245 + f1 (micro=0.959, macro=0.662): True False ------ ------- - 0.352 0.973 - !f1 (micro=0.366, macro=0.663): + 0.351 0.973 + !f1 (micro=0.365, macro=0.662): True False ------ ------- - 0.973 0.352 - accuracy (micro=0.947, macro=0.947): + 0.973 0.351 + accuracy (micro=0.948, macro=0.948): True False ------ ------- - 0.947 0.947 - fpr (micro=0.357, macro=0.205): + 0.948 0.948 + fpr (micro=0.373, macro=0.212): True False ------ ------- - 0.045 0.364 - roc_auc (micro=0.949, macro=0.95): + 0.044 0.38 + roc_auc (micro=0.949, macro=0.949): True False ------ ------- - 0.951 0.949 - pr_auc (micro=0.984, macro=0.667): + 0.949 0.949 + pr_auc (micro=0.983, macro=0.659): True False ------ ------- - 0.336 0.999 + 0.319 0.999 - - score_schema: {'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}, 'type': 'object'} diff --git a/model_info/ukwiki.goodfaith.md b/model_info/ukwiki.goodfaith.md index 2ad023e6..9942318a 100644 --- a/model_info/ukwiki.goodfaith.md +++ b/model_info/ukwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.1 - - params: {'random_state': None, 'min_impurity_decrease': 0.0, 'center': True, 'init': None, 'min_samples_leaf': 1, 'loss': 'deviance', 'labels': [True, False], 'max_features': 'log2', 'validation_fraction': 0.1, 'scale': True, 'min_samples_split': 2, 'warm_start': False, 'n_estimators': 700, 'multilabel': False, 'subsample': 1.0, 'min_weight_fraction_leaf': 0.0, 'population_rates': None, 'tol': 0.0001, 'max_depth': 5, 'n_iter_no_change': None, 'verbose': 0, 'criterion': 'friedman_mse', 'label_weights': OrderedDict([(False, 10)]), 'presort': 'deprecated', 'max_leaf_nodes': None, 'learning_rate': 0.01, 'ccp_alpha': 0.0, 'min_impurity_split': None} + - params: {'subsample': 1.0, 'max_depth': 5, 'min_samples_leaf': 1, 'label_weights': OrderedDict([(False, 10)]), 'scale': True, 'learning_rate': 0.01, 'init': None, 'random_state': None, 'criterion': 'friedman_mse', 'loss': 'deviance', 'min_impurity_decrease': 0.0, 'validation_fraction': 0.1, 'presort': 'deprecated', 'multilabel': False, 'max_features': 'log2', 'tol': 0.0001, 'warm_start': False, 'min_weight_fraction_leaf': 0.0, 'max_leaf_nodes': None, 'n_estimators': 700, 'min_impurity_split': None, 'min_samples_split': 2, 'verbose': 0, 'labels': [True, False], 'n_iter_no_change': None, 'center': True, 'ccp_alpha': 0.0, 'population_rates': None} Environment: - - revscoring_version: '2.8.2' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=19122): + counts (n=19182): label n ~True ~False ------- ----- --- ------- -------- - True 18841 --> 18523 318 - False 281 --> 155 126 + True 18901 --> 18545 356 + False 281 --> 145 136 rates: True False ---------- ------ ------- sample 0.985 0.015 population 0.985 0.015 - match_rate (micro=0.963, macro=0.5): + match_rate (micro=0.96, macro=0.5): True False ------ ------- - 0.977 0.023 - filter_rate (micro=0.037, macro=0.5): + 0.974 0.026 + filter_rate (micro=0.04, macro=0.5): True False ------ ------- - 0.023 0.977 - recall (micro=0.975, macro=0.716): + 0.026 0.974 + recall (micro=0.974, macro=0.733): True False ------ ------- - 0.983 0.448 - !recall (micro=0.456, macro=0.716): + 0.981 0.484 + !recall (micro=0.491, macro=0.733): True False ------ ------- - 0.448 0.983 - precision (micro=0.981, macro=0.638): + 0.484 0.981 + precision (micro=0.982, macro=0.635): True False ------ ------- - 0.992 0.284 - !precision (micro=0.294, macro=0.638): + 0.992 0.277 + !precision (micro=0.287, macro=0.635): True False ------ ------- - 0.284 0.992 - f1 (micro=0.978, macro=0.667): + 0.277 0.992 + f1 (micro=0.977, macro=0.669): True False ------ ------- - 0.987 0.347 - !f1 (micro=0.357, macro=0.667): + 0.987 0.352 + !f1 (micro=0.362, macro=0.669): True False ------ ------- - 0.347 0.987 - accuracy (micro=0.975, macro=0.975): + 0.352 0.987 + accuracy (micro=0.974, macro=0.974): True False ------ ------- - 0.975 0.975 - fpr (micro=0.544, macro=0.284): + 0.974 0.974 + fpr (micro=0.509, macro=0.267): True False ------ ------- - 0.552 0.017 - roc_auc (micro=0.957, macro=0.956): + 0.516 0.019 + roc_auc (micro=0.958, macro=0.957): True False ------ ------- - 0.957 0.955 - pr_auc (micro=0.989, macro=0.64): + 0.958 0.957 + pr_auc (micro=0.989, macro=0.653): True False ------ ------- - 0.999 0.281 + 0.999 0.307 - - score_schema: {'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} diff --git a/model_info/viwiki.reverted.md b/model_info/viwiki.reverted.md index 68b4e27b..5ee5349a 100644 --- a/model_info/viwiki.reverted.md +++ b/model_info/viwiki.reverted.md @@ -1,32 +1,32 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'learning_rate': 0.01, 'min_samples_leaf': 1, 'subsample': 1.0, 'n_iter_no_change': None, 'labels': [True, False], 'max_features': 'log2', 'presort': 'deprecated', 'scale': True, 'ccp_alpha': 0.0, 'random_state': None, 'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'multilabel': False, 'label_weights': OrderedDict([(True, 10)]), 'tol': 0.0001, 'min_impurity_decrease': 0.0, 'min_samples_split': 2, 'max_depth': 7, 'init': None, 'warm_start': False, 'n_estimators': 700, 'population_rates': None, 'center': True, 'max_leaf_nodes': None, 'loss': 'deviance', 'min_impurity_split': None, 'criterion': 'friedman_mse', 'validation_fraction': 0.1} + - params: {'max_features': 'log2', 'random_state': None, 'max_leaf_nodes': None, 'init': None, 'learning_rate': 0.01, 'n_estimators': 700, 'tol': 0.0001, 'loss': 'deviance', 'labels': [True, False], 'max_depth': 7, 'criterion': 'friedman_mse', 'min_impurity_decrease': 0.0, 'label_weights': OrderedDict([(True, 10)]), 'warm_start': False, 'center': True, 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'presort': 'deprecated', 'subsample': 1.0, 'min_samples_split': 2, 'min_samples_leaf': 1, 'n_iter_no_change': None, 'validation_fraction': 0.1, 'verbose': 0, 'multilabel': False, 'population_rates': None, 'min_impurity_split': None, 'scale': True} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=495414): + counts (n=495163): label n ~True ~False ------- ------ --- ------- -------- - True 8631 --> 5855 2776 - False 486783 --> 12008 474775 + True 8670 --> 5850 2820 + False 486493 --> 11860 474633 rates: True False ---------- ------ ------- - sample 0.017 0.983 + sample 0.018 0.982 population 0.019 0.981 match_rate (micro=0.945, macro=0.5): True False @@ -36,22 +36,22 @@ Model Information: True False ------ ------- 0.963 0.037 - recall (micro=0.97, macro=0.827): + recall (micro=0.97, macro=0.825): True False ------ ------- - 0.678 0.975 - !recall (micro=0.684, macro=0.827): + 0.675 0.976 + !recall (micro=0.681, macro=0.825): True False ------ ------- - 0.975 0.678 - precision (micro=0.981, macro=0.672): + 0.976 0.675 + precision (micro=0.981, macro=0.673): True False ------ ------- - 0.35 0.994 - !precision (micro=0.362, macro=0.672): + 0.352 0.994 + !precision (micro=0.364, macro=0.673): True False ------ ------- - 0.994 0.35 + 0.994 0.352 f1 (micro=0.974, macro=0.723): True False ------ ------- @@ -64,18 +64,18 @@ Model Information: True False ------ ------- 0.97 0.97 - fpr (micro=0.316, macro=0.173): + fpr (micro=0.319, macro=0.175): True False ------ ------- - 0.025 0.322 - roc_auc (micro=0.966, macro=0.965): + 0.024 0.325 + roc_auc (micro=0.964, macro=0.965): True False ------ ------- - 0.965 0.966 - pr_auc (micro=0.991, macro=0.771): + 0.965 0.964 + pr_auc (micro=0.99, macro=0.77): True False ------ ------- - 0.544 0.999 + 0.541 0.999 - - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object'} diff --git a/model_info/zhwiki.damaging.md b/model_info/zhwiki.damaging.md index 320000b9..b3c81d59 100644 --- a/model_info/zhwiki.damaging.md +++ b/model_info/zhwiki.damaging.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_impurity_split': None, 'label_weights': OrderedDict([(True, 10)]), 'presort': 'deprecated', 'scale': True, 'init': None, 'max_leaf_nodes': None, 'min_impurity_decrease': 0.0, 'max_depth': 3, 'random_state': None, 'verbose': 0, 'subsample': 1.0, 'center': True, 'min_weight_fraction_leaf': 0.0, 'warm_start': False, 'min_samples_leaf': 7, 'loss': 'deviance', 'population_rates': None, 'criterion': 'friedman_mse', 'max_features': 'log2', 'n_iter_no_change': None, 'learning_rate': 0.01, 'tol': 0.0001, 'labels': [True, False], 'n_estimators': 700, 'min_samples_split': 2, 'ccp_alpha': 0.0, 'validation_fraction': 0.1, 'multilabel': False} + - params: {'center': True, 'criterion': 'friedman_mse', 'warm_start': False, 'min_samples_split': 2, 'label_weights': OrderedDict([(True, 10)]), 'learning_rate': 0.01, 'multilabel': False, 'max_features': 'log2', 'random_state': None, 'verbose': 0, 'subsample': 1.0, 'loss': 'deviance', 'presort': 'deprecated', 'min_impurity_split': None, 'max_depth': 3, 'min_samples_leaf': 7, 'init': None, 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'tol': 0.0001, 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None, 'n_estimators': 700, 'labels': [True, False], 'population_rates': None, 'scale': True} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=68791): + counts (n=68760): label n ~True ~False ------- ----- --- ------- -------- - True 352 --> 148 204 - False 68439 --> 755 67684 + True 352 --> 133 219 + False 68408 --> 700 67708 rates: True False ---------- ------ ------- sample 0.005 0.995 population 0.04 0.96 - match_rate (micro=0.934, macro=0.5): + match_rate (micro=0.936, macro=0.5): True False ------ ------- - 0.028 0.972 - filter_rate (micro=0.066, macro=0.5): + 0.025 0.975 + filter_rate (micro=0.064, macro=0.5): True False ------ ------- - 0.972 0.028 - recall (micro=0.966, macro=0.705): + 0.975 0.025 + recall (micro=0.965, macro=0.684): True False ------ ------- - 0.42 0.989 - !recall (micro=0.443, macro=0.705): + 0.378 0.99 + !recall (micro=0.403, macro=0.684): True False ------ ------- - 0.989 0.42 - precision (micro=0.961, macro=0.796): + 0.99 0.378 + precision (micro=0.959, macro=0.792): True False ------ ------- - 0.617 0.976 - !precision (micro=0.631, macro=0.796): + 0.609 0.974 + !precision (micro=0.624, macro=0.792): True False ------ ------- - 0.976 0.617 - f1 (micro=0.963, macro=0.741): + 0.974 0.609 + f1 (micro=0.961, macro=0.724): True False ------ ------- - 0.5 0.982 - !f1 (micro=0.52, macro=0.741): + 0.466 0.982 + !f1 (micro=0.487, macro=0.724): True False ------ ------- - 0.982 0.5 - accuracy (micro=0.966, macro=0.966): + 0.982 0.466 + accuracy (micro=0.965, macro=0.965): True False ------ ------- - 0.966 0.966 - fpr (micro=0.557, macro=0.295): + 0.965 0.965 + fpr (micro=0.597, macro=0.316): True False ------ ------- - 0.011 0.58 - roc_auc (micro=0.877, macro=0.877): + 0.01 0.622 + roc_auc (micro=0.879, macro=0.878): True False ------ ------- - 0.876 0.878 - pr_auc (micro=0.971, macro=0.725): + 0.877 0.879 + pr_auc (micro=0.97, macro=0.723): True False ------ ------- - 0.457 0.992 + 0.454 0.992 - - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} diff --git a/model_info/zhwiki.goodfaith.md b/model_info/zhwiki.goodfaith.md index 04885617..31238807 100644 --- a/model_info/zhwiki.goodfaith.md +++ b/model_info/zhwiki.goodfaith.md @@ -1,81 +1,81 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'verbose': 0, 'min_impurity_decrease': 0.0, 'center': True, 'min_weight_fraction_leaf': 0.0, 'max_leaf_nodes': None, 'multilabel': False, 'learning_rate': 0.01, 'validation_fraction': 0.1, 'n_iter_no_change': None, 'min_samples_leaf': 5, 'max_features': 'log2', 'max_depth': 3, 'ccp_alpha': 0.0, 'init': None, 'min_impurity_split': None, 'population_rates': None, 'label_weights': OrderedDict([(False, 10)]), 'labels': [True, False], 'min_samples_split': 2, 'loss': 'deviance', 'n_estimators': 500, 'random_state': None, 'scale': True, 'tol': 0.0001, 'criterion': 'friedman_mse', 'presort': 'deprecated', 'warm_start': False, 'subsample': 1.0} + - params: {'population_rates': None, 'tol': 0.0001, 'warm_start': False, 'labels': [True, False], 'min_samples_leaf': 5, 'min_impurity_split': None, 'min_samples_split': 2, 'subsample': 1.0, 'presort': 'deprecated', 'max_features': 'log2', 'max_depth': 3, 'max_leaf_nodes': None, 'min_weight_fraction_leaf': 0.0, 'center': True, 'multilabel': False, 'ccp_alpha': 0.0, 'init': None, 'validation_fraction': 0.1, 'n_iter_no_change': None, 'label_weights': OrderedDict([(False, 10)]), 'n_estimators': 500, 'min_impurity_decrease': 0.0, 'learning_rate': 0.01, 'loss': 'deviance', 'verbose': 0, 'random_state': None, 'criterion': 'friedman_mse', 'scale': True} Environment: - - revscoring_version: '2.8.0' - - platform: 'Linux-4.9.0-11-amd64-x86_64-with-debian-9.12' + - revscoring_version: '2.9.3' + - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' - machine: 'x86_64' - - version: '#1 SMP Debian 4.9.189-3+deb9u1 (2019-09-20)' + - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'Sep 27 2018 17:25:39') - - python_compiler: 'GCC 6.3.0 20170516' + - python_build: ('default', 'May 12 2017 15:07:14') + - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' - python_version: '3.5.3' - - release: '4.9.0-11-amd64' + - release: '4.9.0-8-amd64' Statistics: - counts (n=68791): + counts (n=68760): label n ~True ~False ------- ----- --- ------- -------- - True 68528 --> 68105 423 - False 263 --> 191 72 + True 68497 --> 68171 326 + False 263 --> 206 57 rates: True False ---------- ------ ------- sample 0.996 0.004 population 0.968 0.032 - match_rate (micro=0.954, macro=0.5): + match_rate (micro=0.957, macro=0.5): True False ------ ------- - 0.985 0.015 - filter_rate (micro=0.046, macro=0.5): + 0.988 0.012 + filter_rate (micro=0.043, macro=0.5): True False ------ ------- - 0.015 0.985 - recall (micro=0.971, macro=0.634): + 0.012 0.988 + recall (micro=0.97, macro=0.606): True False ------ ------- - 0.994 0.274 - !recall (micro=0.297, macro=0.634): + 0.995 0.217 + !recall (micro=0.241, macro=0.606): True False ------ ------- - 0.274 0.994 - precision (micro=0.964, macro=0.785): + 0.217 0.995 + precision (micro=0.963, macro=0.787): True False ------ ------- - 0.977 0.593 - !precision (micro=0.605, macro=0.785): + 0.975 0.599 + !precision (micro=0.611, macro=0.787): True False ------ ------- - 0.593 0.977 - f1 (micro=0.966, macro=0.68): + 0.599 0.975 + f1 (micro=0.964, macro=0.652): True False ------ ------- - 0.985 0.375 - !f1 (micro=0.394, macro=0.68): + 0.985 0.318 + !f1 (micro=0.34, macro=0.652): True False ------ ------- - 0.375 0.985 - accuracy (micro=0.971, macro=0.971): + 0.318 0.985 + accuracy (micro=0.97, macro=0.97): True False ------ ------- - 0.971 0.971 - fpr (micro=0.703, macro=0.366): + 0.97 0.97 + fpr (micro=0.759, macro=0.394): True False ------ ------- - 0.726 0.006 - roc_auc (micro=0.899, macro=0.898): + 0.783 0.005 + roc_auc (micro=0.9, macro=0.9): True False ------ ------- - 0.899 0.898 - pr_auc (micro=0.977, macro=0.711): + 0.9 0.9 + pr_auc (micro=0.978, macro=0.713): True False ------ ------- - 0.996 0.426 + 0.996 0.431 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/models/arwiki.damaging.gradient_boosting.model b/models/arwiki.damaging.gradient_boosting.model index fa67d15f..4fa80ecb 100644 --- a/models/arwiki.damaging.gradient_boosting.model +++ b/models/arwiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c5cda9410dd7fe655735ecdaa1e86ef9998e41b5ca0a7ac2e59bfa645572f101 -size 363851 +oid sha256:63ae6920d6b368e5650bb43cb8a96e5e48f3c786699f6c58b5a46ce539225fbc +size 340833 diff --git a/models/arwiki.goodfaith.gradient_boosting.model b/models/arwiki.goodfaith.gradient_boosting.model index 59bda310..1178899f 100644 --- a/models/arwiki.goodfaith.gradient_boosting.model +++ b/models/arwiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:3b8dce374e19233e0dbb1aed2d15ea1948a0e0ccc16bed6c293f11ab66e4b08f -size 750842 +oid sha256:eabb303f49472da1f248ed29e321dda534630c0da88e00e9ebf2b3df6530deda +size 778892 diff --git a/models/bnwiki.reverted.gradient_boosting.model b/models/bnwiki.reverted.gradient_boosting.model index d07d345c..654a016d 100644 --- 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sha256:b25cb502b3714aeb7fd32fab4e6fe6a03962946d1e29bee5a77e8710aab7373a -size 11416152 +oid sha256:03b9af5b74759cc9aa65b4da81588251f3bc7576755f10e371c388cfd1bb5276 +size 11396600 diff --git a/models/wikidatawiki.damaging.gradient_boosting.model b/models/wikidatawiki.damaging.gradient_boosting.model index fa1d00f2..51ecb2db 100644 --- a/models/wikidatawiki.damaging.gradient_boosting.model +++ b/models/wikidatawiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:f7a94b2b120e15bcd45fe7620dddee25f3363a8c4d7c30ca24fb07933e686881 -size 8374581 +oid sha256:b4e9d024b6ac91744f372fad874f85acaf197e1a0f71358ebaa7f1215f45610f +size 8349164 diff --git a/models/wikidatawiki.goodfaith.gradient_boosting.model b/models/wikidatawiki.goodfaith.gradient_boosting.model index 36de73a9..7b730fd7 100644 --- a/models/wikidatawiki.goodfaith.gradient_boosting.model +++ b/models/wikidatawiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c2603d27a484436ee6d6339535f378f3361895d3739d9d737a6f3637a5250987 -size 7750734 +oid sha256:40659db5e41e404ca1c0f24760876deaa5db75e64dc359aea45cd5a6030f2a12 +size 7701513 diff --git a/models/zhwiki.damaging.gradient_boosting.model b/models/zhwiki.damaging.gradient_boosting.model index 82a4be32..62c236e0 100644 --- a/models/zhwiki.damaging.gradient_boosting.model +++ b/models/zhwiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:ab562343a4bca9c0e75517dd7626031f654e7ce824737cca5e3cdfaa8fec41f3 -size 1246378 +oid sha256:c894cd76fefd0891d52a2b6ceae73b4a101cf58256257c7eccbd4b15a84a6fef +size 1287651 diff --git a/models/zhwiki.goodfaith.gradient_boosting.model b/models/zhwiki.goodfaith.gradient_boosting.model index bf9b9cfc..ebe13f98 100644 --- a/models/zhwiki.goodfaith.gradient_boosting.model +++ b/models/zhwiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:554b6928d8c224091407a01edb41570d6ab30c492fa406213cc964f141dc2623 -size 932697 +oid sha256:b201f6d8fe485b9ae079601a2e8bb925fd34b65db020f08de59f0683fc2ab9f2 +size 937427 From e83914895a625881c51b62d40dff93cbe68acab1 Mon Sep 17 00:00:00 2001 From: Pavol86 Date: Thu, 4 Feb 2021 15:57:36 +0000 Subject: [PATCH 08/10] new models --- Makefile | 3976 +---------------- editquality/feature_lists/jawiki.py | 4 +- editquality/feature_lists/kowiki.py | 2 +- editquality/feature_lists/wikitext.py | 79 +- editquality/feature_lists/zhwiki.py | 2 +- model_info/jawiki.damaging.md | 60 +- model_info/jawiki.goodfaith.md | 24 +- model_info/kowiki.damaging.md | 60 +- model_info/kowiki.goodfaith.md | 60 +- model_info/zhwiki.damaging.md | 56 +- model_info/zhwiki.goodfaith.md | 60 +- .../jawiki.damaging.gradient_boosting.model | 4 +- .../jawiki.goodfaith.gradient_boosting.model | 4 +- .../kowiki.damaging.gradient_boosting.model | 4 +- .../kowiki.goodfaith.gradient_boosting.model | 4 +- .../zhwiki.damaging.gradient_boosting.model | 4 +- .../zhwiki.goodfaith.gradient_boosting.model | 4 +- tuning_reports/arwiki.damaging.md | 586 ++- tuning_reports/arwiki.goodfaith.md | 592 ++- tuning_reports/bnwiki.reverted.md | 580 ++- tuning_reports/bswiki.damaging.md | 579 ++- tuning_reports/bswiki.goodfaith.md | 597 ++- tuning_reports/cawiki.damaging.md | 835 ++-- tuning_reports/cawiki.goodfaith.md | 844 ++-- tuning_reports/cswiki.damaging.md | 576 ++- tuning_reports/cswiki.goodfaith.md | 584 ++- tuning_reports/dewiki.damaging.md | 579 ++- tuning_reports/dewiki.goodfaith.md | 593 ++- tuning_reports/elwiki.reverted.md | 576 ++- tuning_reports/enwiki.damaging.md | 576 ++- tuning_reports/enwiki.goodfaith.md | 584 ++- tuning_reports/enwiktionary.reverted.md | 576 ++- tuning_reports/eswiki.damaging.md | 568 ++- tuning_reports/eswiki.goodfaith.md | 582 ++- tuning_reports/eswikibooks.damaging.md | 576 ++- tuning_reports/eswikibooks.goodfaith.md | 586 ++- tuning_reports/eswikiquote.damaging.md | 583 ++- tuning_reports/eswikiquote.goodfaith.md | 599 ++- tuning_reports/etwiki.damaging.md | 561 ++- tuning_reports/etwiki.goodfaith.md | 577 ++- tuning_reports/fawiki.damaging.md | 165 - tuning_reports/jawiki.damaging.md | 843 ++-- tuning_reports/jawiki.goodfaith.md | 831 ++-- tuning_reports/kowiki.damaging.md | 579 ++- tuning_reports/kowiki.goodfaith.md | 599 ++- tuning_reports/zhwiki.damaging.md | 442 -- tuning_reports/zhwiki.goodfaith.md | 442 -- 47 files changed, 11714 insertions(+), 10483 deletions(-) delete mode 100644 tuning_reports/fawiki.damaging.md delete mode 100644 tuning_reports/zhwiki.goodfaith.md diff --git a/Makefile b/Makefile index 077b8332..90c4af81 100644 --- a/Makefile +++ b/Makefile @@ -4,104 +4,14 @@ # Remove target files after command failure. .DELETE_ON_ERROR: -models: \ - arwiki_models \ - azwiki_models \ - bawiki_models \ - bnwiki_models \ - bnwikisource_models \ - bswiki_models \ - cawiki_models \ - cswiki_models \ - dewiki_models \ - elwiki_models \ - enwiki_models \ - enwiktionary_models \ - eswiki_models \ - eswikibooks_models \ - eswikiquote_models \ - eswikiversity_models \ - etwiki_models \ - fawiki_models \ - fiwiki_models \ - frwiki_models \ - glwiki_models \ - hewiki_models \ - hiwiki_models \ - hrwiki_models \ - huwiki_models \ - idwiki_models \ - iswiki_models \ - itwiki_models \ - jawiki_models \ - kowiki_models \ - lvwiki_models \ - nlwiki_models \ - nowiki_models \ - plwiki_models \ - ptwiki_models \ - rowiki_models \ - ruwiki_models \ - sqwiki_models \ - srwiki_models \ - svwiki_models \ - tawiki_models \ - translatewiki_models \ - trwiki_models \ - ukwiki_models \ - urwiki_models \ - viwiki_models \ - wikidatawiki_models \ - zhwiki_models +#models: \ +# jawiki_models \ +# kowiki_models \ +# zhwiki_models tuning_reports: \ - arwiki_tuning_reports \ - azwiki_tuning_reports \ - bawiki_tuning_reports \ - bnwiki_tuning_reports \ - bnwikisource_tuning_reports \ - bswiki_tuning_reports \ - cawiki_tuning_reports \ - cswiki_tuning_reports \ - dewiki_tuning_reports \ - elwiki_tuning_reports \ - enwiki_tuning_reports \ - enwiktionary_tuning_reports \ - eswiki_tuning_reports \ - eswikibooks_tuning_reports \ - eswikiquote_tuning_reports \ - eswikiversity_tuning_reports \ - etwiki_tuning_reports \ - fawiki_tuning_reports \ - fiwiki_tuning_reports \ - frwiki_tuning_reports \ - glwiki_tuning_reports \ - hewiki_tuning_reports \ - hiwiki_tuning_reports \ - hrwiki_tuning_reports \ - huwiki_tuning_reports \ - idwiki_tuning_reports \ - iswiki_tuning_reports \ - itwiki_tuning_reports \ jawiki_tuning_reports \ kowiki_tuning_reports \ - lvwiki_tuning_reports \ - nlwiki_tuning_reports \ - nowiki_tuning_reports \ - plwiki_tuning_reports \ - ptwiki_tuning_reports \ - rowiki_tuning_reports \ - ruwiki_tuning_reports \ - sqwiki_tuning_reports \ - srwiki_tuning_reports \ - svwiki_tuning_reports \ - tawiki_tuning_reports \ - translatewiki_tuning_reports \ - trwiki_tuning_reports \ - ukwiki_tuning_reports \ - urwiki_tuning_reports \ - viwiki_tuning_reports \ - wikidatawiki_tuning_reports \ zhwiki_tuning_reports touch: @@ -110,3894 +20,226 @@ touch: include Makefile.manual - - -############################# Arabic Wikipedia ################################ -datasets/arwiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/arwiki/30/ > $@ - -datasets/arwiki.sampled_revisions.20k_2016.json: - wget -qO- http://quarry.wmflabs.org/run/65713/output/0/json-lines?download=true > $@ - -datasets/arwiki.autolabeled_revisions.20k_2016.json: \ - datasets/arwiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://ar.wikipedia.org \ - --trusted-groups=sysop,oversight,editor,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/arwiki.revisions_for_review.5k_2016.json: \ - datasets/arwiki.autolabeled_revisions.20k_2016.json - ( \ - cat datasets/arwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/arwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/arwiki.labeled_revisions.20k_2016.json: \ - datasets/arwiki.human_labeled_revisions.5k_2016.json \ - datasets/arwiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/arwiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/arwiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.arwiki.damaging \ - editquality.feature_lists.arwiki.goodfaith \ - --host https://ar.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/arwiki.damaging.md: \ - datasets/arwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.arwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.021427" \ - --pop-rate "false=0.978573" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/arwiki.damaging.gradient_boosting.model: \ - datasets/arwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.arwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=100' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.021427" \ - --pop-rate "false=0.978573" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/arwiki.damaging.md - -tuning_reports/arwiki.goodfaith.md: \ - datasets/arwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.arwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.993861" \ - --pop-rate "false=0.0061390000000000056" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/arwiki.goodfaith.gradient_boosting.model: \ - datasets/arwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.arwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.5' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.993861" \ - --pop-rate "false=0.0061390000000000056" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/arwiki.goodfaith.md - -arwiki_models: \ - models/arwiki.damaging.gradient_boosting.model \ - models/arwiki.goodfaith.gradient_boosting.model - -arwiki_tuning_reports: \ - tuning_reports/arwiki.damaging.md \ - tuning_reports/arwiki.goodfaith.md - - -############################# Azeri Wikipedia ################################ -datasets/azwiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/99533/output/0/json-lines?download=true > $@ - -datasets/azwiki.autolabeled_revisions.20k_2016.json: \ - datasets/azwiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://az.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -azwiki_models: - -azwiki_tuning_reports: - -############################# Bashkir Wikipedia ################################ -# From https://quarry.wmflabs.org/query/24777 -datasets/bawiki.sampled_revisions.60k_2018.json: - wget -qO- https://quarry.wmflabs.org/run/236209/output/0/json-lines?download=true > $@ - -datasets/bawiki.autolabeled_revisions.60k_2018.json: \ - datasets/bawiki.sampled_revisions.60k_2018.json - cat $< | \ - ./utility autolabel --host=https://ba.wikipedia.org \ - --trusted-groups=bot,sysop,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -bawiki_models: - -bawiki_tuning_reports: - -############################# Bengali Wikipedia ################################ -# From https://quarry.wmflabs.org/query/20229 -datasets/bnwiki.sampled_revisions.20k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/190661/output/0/json-lines?download=true > $@ - -datasets/bnwiki.autolabeled_revisions.20k_2017.json: \ - datasets/bnwiki.sampled_revisions.20k_2017.json - cat $< | \ - ./utility autolabel --host=https://bn.wikipedia.org \ - --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/bnwiki.autolabeled_revisions.w_cache.20k_2017.json: \ - datasets/bnwiki.autolabeled_revisions.20k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.bnwiki.reverted \ - --host https://bn.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/bnwiki.reverted.md: \ - datasets/bnwiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.bnwiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.021554310862" \ - --pop-rate "false=0.978445689138" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/bnwiki.reverted.gradient_boosting.model: \ - datasets/bnwiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.bnwiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.021554310862" \ - --pop-rate "false=0.978445689138" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/bnwiki.reverted.md - -bnwiki_models: \ - models/bnwiki.reverted.gradient_boosting.model - -bnwiki_tuning_reports: \ - tuning_reports/bnwiki.reverted.md - - -############################# Bengali Wikisource ################################ -# From https://quarry.wmflabs.org/query/24776 -datasets/bnwikisource.sampled_revisions.200k_2018.json: - wget -qO- https://quarry.wmflabs.org/run/236208/output/0/json-lines?download=true > $@ - -datasets/bnwikisource.autolabeled_revisions.200k_2018.json: \ - datasets/bnwikisource.sampled_revisions.200k_2018.json - cat $< | \ - ./utility autolabel --host=https://bn.wikisource.org \ - --trusted-groups=bot,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -bnwikisource_models: - -bnwikisource_tuning_reports: - -############################# Bosnian Wikipedia ################################ -datasets/bswiki.human_labeled_revisions.5k_2018.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/bswiki/78/ > $@ - -# From https://quarry.wmflabs.org/query/26936 -datasets/bswiki.sampled_revisions.40k_2018.json: - wget -qO- https://quarry.wmflabs.org/run/261117/output/0/json-lines?download=true > $@ - -datasets/bswiki.autolabeled_revisions.40k_2018.json: \ - datasets/bswiki.sampled_revisions.40k_2018.json - cat $< | \ - ./utility autolabel --host=https://bs.wikipedia.org \ - --trusted-groups=bot,sysop,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/bswiki.labeled_revisions.40k_2018.json: \ - datasets/bswiki.human_labeled_revisions.5k_2018.json \ - datasets/bswiki.autolabeled_revisions.40k_2018.json - ./utility merge_labels $^ > $@ - -datasets/bswiki.labeled_revisions.w_cache.40k_2018.json: \ - datasets/bswiki.labeled_revisions.40k_2018.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.bswiki.damaging \ - editquality.feature_lists.bswiki.goodfaith \ - --host https://bs.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/bswiki.damaging.md: \ - datasets/bswiki.labeled_revisions.w_cache.40k_2018.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.bswiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.028101164191087918" \ - --pop-rate "false=0.9718988358089121" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/bswiki.damaging.rf.model: \ - datasets/bswiki.labeled_revisions.w_cache.40k_2018.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.RandomForest \ - editquality.feature_lists.bswiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'criterion="entropy"' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=7' \ - -p 'n_estimators=320' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.028101164191087918" \ - --pop-rate "false=0.9718988358089121" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/bswiki.damaging.md - -tuning_reports/bswiki.goodfaith.md: \ - datasets/bswiki.labeled_revisions.w_cache.40k_2018.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.bswiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9774939783219591" \ - --pop-rate "false=0.022506021678040944" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/bswiki.goodfaith.gradient_boosting.model: \ - datasets/bswiki.labeled_revisions.w_cache.40k_2018.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.bswiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.5' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9774939783219591" \ - --pop-rate "false=0.022506021678040944" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/bswiki.goodfaith.md - -bswiki_models: \ - models/bswiki.damaging.rf.model \ - models/bswiki.goodfaith.gradient_boosting.model - -bswiki_tuning_reports: \ - tuning_reports/bswiki.damaging.md \ - tuning_reports/bswiki.goodfaith.md - - -############################# Catalan Wikipedia ################################ -datasets/cawiki.human_labeled_revisions.5k_2017.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/cawiki/68/ > $@ - -# From https://quarry.wmflabs.org/query/24913 -datasets/cawiki.sampled_revisions.40k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/237545/output/0/json-lines?download=true > $@ - -datasets/cawiki.autolabeled_revisions.40k_2017.json: \ - datasets/cawiki.sampled_revisions.40k_2017.json - cat $< | \ - ./utility autolabel --host=https://ca.wikipedia.org \ - --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/cawiki.labeled_revisions.40k_2017.json: \ - datasets/cawiki.human_labeled_revisions.5k_2017.json \ - datasets/cawiki.autolabeled_revisions.40k_2017.json - ./utility merge_labels $^ > $@ - -datasets/cawiki.labeled_revisions.w_cache.40k_2017.json: \ - datasets/cawiki.labeled_revisions.40k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.cawiki.damaging \ - editquality.feature_lists.cawiki.goodfaith \ - --host https://ca.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/cawiki.damaging.md: \ - datasets/cawiki.labeled_revisions.w_cache.40k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.cawiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.019000475011875295" \ - --pop-rate "false=0.9809995249881247" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/cawiki.damaging.gradient_boosting.model: \ - datasets/cawiki.labeled_revisions.w_cache.40k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.cawiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=13' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.019000475011875295" \ - --pop-rate "false=0.9809995249881247" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/cawiki.damaging.md - -tuning_reports/cawiki.goodfaith.md: \ - datasets/cawiki.labeled_revisions.w_cache.40k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.cawiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9854996374909373" \ - --pop-rate "false=0.014500362509062725" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/cawiki.goodfaith.gradient_boosting.model: \ - datasets/cawiki.labeled_revisions.w_cache.40k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.cawiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=3' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9854996374909373" \ - --pop-rate "false=0.014500362509062725" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/cawiki.goodfaith.md - -cawiki_models: \ - models/cawiki.damaging.gradient_boosting.model \ - models/cawiki.goodfaith.gradient_boosting.model - -cawiki_tuning_reports: \ - tuning_reports/cawiki.damaging.md \ - tuning_reports/cawiki.goodfaith.md - - -############################# Czech Wikipedia ################################ -datasets/cswiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/cswiki/44/ > $@ - -datasets/cswiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/97125/output/0/json-lines?download=true > $@ - -datasets/cswiki.autolabeled_revisions.20k_2016.json: \ - datasets/cswiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://cs.wikipedia.org \ - --trusted-groups=sysop,oversight,editor,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/cswiki.revisions_for_review.5k_2016.json: \ - datasets/cswiki.autolabeled_revisions.20k_2016.json - ( \ - cat datasets/cswiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/cswiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/cswiki.labeled_revisions.20k_2016.json: \ - datasets/cswiki.human_labeled_revisions.5k_2016.json \ - datasets/cswiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/cswiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/cswiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.cswiki.damaging \ - editquality.feature_lists.cswiki.goodfaith \ - --host https://cs.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/cswiki.damaging.md: \ - datasets/cswiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.cswiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0445968266680014" \ - --pop-rate "false=0.9554031733319986" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/cswiki.damaging.gradient_boosting.model: \ - datasets/cswiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.cswiki.damaging \ - damaging \ - --version=0.6.0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0445968266680014" \ - --pop-rate "false=0.9554031733319986" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/cswiki.damaging.md - -tuning_reports/cswiki.goodfaith.md: \ - datasets/cswiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.cswiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.977526402722859" \ - --pop-rate "false=0.022473597277141044" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/cswiki.goodfaith.gradient_boosting.model: \ - datasets/cswiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.cswiki.goodfaith \ - goodfaith \ - --version=0.6.0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.977526402722859" \ - --pop-rate "false=0.022473597277141044" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/cswiki.goodfaith.md - -cswiki_models: \ - models/cswiki.damaging.gradient_boosting.model \ - models/cswiki.goodfaith.gradient_boosting.model - -cswiki_tuning_reports: \ - tuning_reports/cswiki.damaging.md \ - tuning_reports/cswiki.goodfaith.md - - -############################# German Wikipedia ################################ -datasets/dewiki.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/dewiki/16/ > $@ - -datasets/dewiki.sampled_revisions.20k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/42223/output/0/json-lines?download=true > $@ - -datasets/dewiki.autolabeled_revisions.20k_2015.json: \ - datasets/dewiki.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://de.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/dewiki.labeled_revisions.20k_2015.json: \ - datasets/dewiki.human_labeled_revisions.5k_2015.json \ - datasets/dewiki.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/dewiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/dewiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.dewiki.damaging \ - editquality.feature_lists.dewiki.goodfaith \ - --host https://de.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/dewiki.damaging.md: \ - datasets/dewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.dewiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.029975955116216937" \ - --pop-rate "false=0.970024044883783" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/dewiki.damaging.gradient_boosting.model: \ - datasets/dewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.dewiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=100' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.029975955116216937" \ - --pop-rate "false=0.970024044883783" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/dewiki.damaging.md - -tuning_reports/dewiki.goodfaith.md: \ - datasets/dewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.dewiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9806572268234037" \ - --pop-rate "false=0.019342773176596273" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/dewiki.goodfaith.gradient_boosting.model: \ - datasets/dewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.dewiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.5' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9806572268234037" \ - --pop-rate "false=0.019342773176596273" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/dewiki.goodfaith.md - -dewiki_models: \ - models/dewiki.damaging.gradient_boosting.model \ - models/dewiki.goodfaith.gradient_boosting.model - -dewiki_tuning_reports: \ - tuning_reports/dewiki.damaging.md \ - tuning_reports/dewiki.goodfaith.md - - -############################# Greek Wikipedia ################################ -# From https://quarry.wmflabs.org/query/20231 -datasets/elwiki.sampled_revisions.20k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/190663/output/0/json-lines?download=true > $@ - -datasets/elwiki.autolabeled_revisions.20k_2017.json: \ - datasets/elwiki.sampled_revisions.20k_2017.json - cat $< | \ - ./utility autolabel --host=https://el.wikipedia.org \ - --trusted-groups=bot,bureaucrat,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/elwiki.autolabeled_revisions.w_cache.20k_2017.json: \ - datasets/elwiki.autolabeled_revisions.20k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.elwiki.reverted \ - --host https://el.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/elwiki.reverted.md: \ - datasets/elwiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.elwiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.05170687756532186" \ - --pop-rate "false=0.9482931224346781" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/elwiki.reverted.gradient_boosting.model: \ - datasets/elwiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.elwiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.05170687756532186" \ - --pop-rate "false=0.9482931224346781" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/elwiki.reverted.md - -elwiki_models: \ - models/elwiki.reverted.gradient_boosting.model - -elwiki_tuning_reports: \ - tuning_reports/elwiki.reverted.md - - -############################# English Wikipedia ################################ -datasets/enwiki.human_labeled_revisions.20k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/enwiki/4/ > $@ - -datasets/enwiki.labeled_revisions.20k_2015.json: \ - datasets/enwiki.human_labeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/enwiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/enwiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.enwiki.damaging \ - editquality.feature_lists.enwiki.goodfaith \ - --host https://en.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/enwiki.damaging.md: \ - datasets/enwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.enwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.034163555464634586" \ - --pop-rate "false=0.9658364445353654" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/enwiki.damaging.gradient_boosting.model: \ - datasets/enwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.enwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.034163555464634586" \ - --pop-rate "false=0.9658364445353654" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/enwiki.damaging.md - -tuning_reports/enwiki.goodfaith.md: \ - datasets/enwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.enwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9671661637600368" \ - --pop-rate "false=0.032833836239963166" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/enwiki.goodfaith.gradient_boosting.model: \ - datasets/enwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.enwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9671661637600368" \ - --pop-rate "false=0.032833836239963166" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/enwiki.goodfaith.md - -enwiki_models: \ - models/enwiki.damaging.gradient_boosting.model \ - models/enwiki.goodfaith.gradient_boosting.model - -enwiki_tuning_reports: \ - tuning_reports/enwiki.damaging.md \ - tuning_reports/enwiki.goodfaith.md - - -############################# English Wiktionary ################################ -datasets/enwiktionary.sampled_revisions.92k_2018.json: - wget -qO- https://quarry.wmflabs.org/run/244906/output/0/json-lines?download=true > $@ - -datasets/enwiktionary.autolabeled_revisions.92k_2018.json: \ - datasets/enwiktionary.sampled_revisions.92k_2018.json - cat $< | \ - ./utility autolabel --host=https://en.wiktionary.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/enwiktionary.autolabeled_revisions.w_cache.92k_2018.json: \ - datasets/enwiktionary.autolabeled_revisions.92k_2018.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.enwiktionary.reverted \ - --host https://en.wiktionary.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/enwiktionary.reverted.md: \ - datasets/enwiktionary.autolabeled_revisions.w_cache.92k_2018.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.enwiktionary.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.004778273117085203" \ - --pop-rate "false=0.9952217268829148" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/enwiktionary.reverted.rf.model: \ - datasets/enwiktionary.autolabeled_revisions.w_cache.92k_2018.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.RandomForest \ - editquality.feature_lists.enwiktionary.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'criterion="entropy"' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=3' \ - -p 'n_estimators=320' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.004778273117085203" \ - --pop-rate "false=0.9952217268829148" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/enwiktionary.reverted.md - -enwiktionary_models: \ - models/enwiktionary.reverted.rf.model - -enwiktionary_tuning_reports: \ - tuning_reports/enwiktionary.reverted.md - - -############################# Spanish Wikipedia ################################ -datasets/eswiki.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/eswiki/12/ > $@ - -datasets/eswiki.sampled_revisions.20k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/42221/output/0/json-lines?download=true > $@ - -datasets/eswiki.autolabeled_revisions.20k_2015.json: \ - datasets/eswiki.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://es.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/eswiki.labeled_revisions.20k_2015.json: \ - datasets/eswiki.human_labeled_revisions.5k_2015.json \ - datasets/eswiki.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/eswiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/eswiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.eswiki.damaging \ - editquality.feature_lists.eswiki.goodfaith \ - --host https://es.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/eswiki.damaging.md: \ - datasets/eswiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.eswiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.11036013315847877" \ - --pop-rate "false=0.8896398668415212" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/eswiki.damaging.gradient_boosting.model: \ - datasets/eswiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.eswiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.11036013315847877" \ - --pop-rate "false=0.8896398668415212" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/eswiki.damaging.md - -tuning_reports/eswiki.goodfaith.md: \ - datasets/eswiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.eswiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.11036013315847877" \ - --pop-rate "false=0.8896398668415212" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/eswiki.goodfaith.gradient_boosting.model: \ - datasets/eswiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.eswiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.11036013315847877" \ - --pop-rate "false=0.8896398668415212" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/eswiki.goodfaith.md - -eswiki_models: \ - models/eswiki.damaging.gradient_boosting.model \ - models/eswiki.goodfaith.gradient_boosting.model - -eswiki_tuning_reports: \ - tuning_reports/eswiki.damaging.md \ - tuning_reports/eswiki.goodfaith.md - - -############################# Spanish Wikibooks ################################ -datasets/eswikibooks.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/eswikibooks/42/ > $@ - -datasets/eswikibooks.sampled_revisions.20k_2015.json: - wget -qO- https://quarry.wmflabs.org/run/113419/output/0/json-lines?download=true > $@ - -datasets/eswikibooks.autolabeled_revisions.20k_2015.json: \ - datasets/eswikibooks.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://es.wikibooks.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/eswikibooks.labeled_revisions.20k_2015.json: \ - datasets/eswikibooks.human_labeled_revisions.5k_2015.json \ - datasets/eswikibooks.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json: \ - datasets/eswikibooks.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.eswikibooks.damaging \ - editquality.feature_lists.eswikibooks.goodfaith \ - --host https://es.wikibooks.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/eswikibooks.damaging.md: \ - datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.eswikibooks.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.1126671580499105" \ - --pop-rate "false=0.8873328419500895" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/eswikibooks.damaging.gradient_boosting.model: \ - datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.eswikibooks.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.1126671580499105" \ - --pop-rate "false=0.8873328419500895" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/eswikibooks.damaging.md - -tuning_reports/eswikibooks.goodfaith.md: \ - datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.eswikibooks.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9139393939393939" \ - --pop-rate "false=0.08606060606060606" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/eswikibooks.goodfaith.gradient_boosting.model: \ - datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.eswikibooks.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.5' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9139393939393939" \ - --pop-rate "false=0.08606060606060606" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/eswikibooks.goodfaith.md - -eswikibooks_models: \ - models/eswikibooks.damaging.gradient_boosting.model \ - models/eswikibooks.goodfaith.gradient_boosting.model - -eswikibooks_tuning_reports: \ - tuning_reports/eswikibooks.damaging.md \ - tuning_reports/eswikibooks.goodfaith.md - - -############################# Spanish Wikiquote ################################ -datasets/eswikiquote.human_labeled_revisions.5k_2017.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/eswikiquote/64/ > $@ - -# From https://quarry.wmflabs.org/query/23421 -datasets/eswikiquote.sampled_revisions.12k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/219894/output/0/json-lines?download=true > $@ - -datasets/eswikiquote.autolabeled_revisions.12k_2017.json: \ - datasets/eswikiquote.sampled_revisions.12k_2017.json - cat $< | \ - ./utility autolabel --host=https://es.wikiquote.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/eswikiquote.labeled_revisions.12k_2017.json: \ - datasets/eswikiquote.human_labeled_revisions.5k_2017.json \ - datasets/eswikiquote.autolabeled_revisions.12k_2017.json - ./utility merge_labels $^ > $@ - -datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json: \ - datasets/eswikiquote.labeled_revisions.12k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.eswikiquote.damaging \ - editquality.feature_lists.eswikiquote.goodfaith \ - --host https://es.wikiquote.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/eswikiquote.damaging.md: \ - datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.eswikiquote.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.08707101597009854" \ - --pop-rate "false=0.9129289840299014" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/eswikiquote.damaging.gradient_boosting.model: \ - datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.eswikiquote.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.08707101597009854" \ - --pop-rate "false=0.9129289840299014" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/eswikiquote.damaging.md - -tuning_reports/eswikiquote.goodfaith.md: \ - datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.eswikiquote.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9356099218484539" \ - --pop-rate "false=0.06439007815154607" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/eswikiquote.goodfaith.gradient_boosting.model: \ - datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.eswikiquote.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=1' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9356099218484539" \ - --pop-rate "false=0.06439007815154607" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/eswikiquote.goodfaith.md - -eswikiquote_models: \ - models/eswikiquote.damaging.gradient_boosting.model \ - models/eswikiquote.goodfaith.gradient_boosting.model - -eswikiquote_tuning_reports: \ - tuning_reports/eswikiquote.damaging.md \ - tuning_reports/eswikiquote.goodfaith.md - - -############################# Spanish Wikiversity ################################ -# From https://quarry.wmflabs.org/query/34929 -datasets/eswikiversity.sampled_revisions.17k_2019.json: - wget -qO- https://quarry.wmflabs.org/run/359493/output/0/json-lines > $@ - -datasets/eswikiversity.autolabeled_revisions.17k_2019.json: \ - datasets/eswikiversity.sampled_revisions.17k_2019.json - cat $< | \ - ./utility autolabel --host=https://es.wikiversity.org \ - --trusted-groups=autoconfirmed,sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled \ - --trusted-edits=100 \ - --revert-radius=5 \ - --verbose > $@ - -eswikiversity_models: - -eswikiversity_tuning_reports: - -############################# Estonian Wikipedia ################################ -datasets/etwiki.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/etwiki/17/ > $@ - -datasets/etwiki.sampled_revisions.20k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/50110/output/0/json-lines?download=true > $@ - -datasets/etwiki.autolabeled_revisions.20k_2015.json: \ - datasets/etwiki.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://et.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,flow-bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/etwiki.labeled_revisions.20k_2015.json: \ - datasets/etwiki.human_labeled_revisions.5k_2015.json \ - datasets/etwiki.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/etwiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/etwiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.etwiki.damaging \ - editquality.feature_lists.etwiki.goodfaith \ - --host https://et.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/etwiki.damaging.md: \ - datasets/etwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.etwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.026158257457618593" \ - --pop-rate "false=0.9738417425423814" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/etwiki.damaging.gradient_boosting.model: \ - datasets/etwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.etwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.026158257457618593" \ - --pop-rate "false=0.9738417425423814" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/etwiki.damaging.md - -tuning_reports/etwiki.goodfaith.md: \ - datasets/etwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.etwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9841038281603702" \ - --pop-rate "false=0.01589617183962977" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/etwiki.goodfaith.gradient_boosting.model: \ - datasets/etwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.etwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9841038281603702" \ - --pop-rate "false=0.01589617183962977" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/etwiki.goodfaith.md - -etwiki_models: \ - models/etwiki.damaging.gradient_boosting.model \ - models/etwiki.goodfaith.gradient_boosting.model - -etwiki_tuning_reports: \ - tuning_reports/etwiki.damaging.md \ - tuning_reports/etwiki.goodfaith.md - - -############################# Persian Wikipedia ################################ -datasets/fawiki.human_labeled_revisions.20k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/fawiki/6/ > $@ - -datasets/fawiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/fawiki/21/ > $@ - -datasets/fawiki.sampled_revisions.20k_2016.json: - wget -qO- http://quarry.wmflabs.org/run/59580/output/0/json-lines?download=true > $@ - -datasets/fawiki.autolabeled_revisions.20k_2016.json: \ - datasets/fawiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://fa.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,flow-bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/fawiki.labeled_revisions.20k_2015.json: \ - datasets/fawiki.human_labeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/fawiki.labeled_revisions.20k_2016.json: \ - datasets/fawiki.human_labeled_revisions.5k_2016.json \ - datasets/fawiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/fawiki.labeled_revisions.40k_2015_2016.json: \ - datasets/fawiki.labeled_revisions.20k_2015.json \ - datasets/fawiki.labeled_revisions.20k_2016.json - cat $^ > $@ - -datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json: \ - datasets/fawiki.labeled_revisions.40k_2015_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.fawiki.damaging \ - editquality.feature_lists.fawiki.goodfaith \ - --host https://fa.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/fawiki.damaging.md: \ - datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.fawiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0297029702970297" \ - --pop-rate "false=0.9702970297029703" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/fawiki.damaging.gradient_boosting.model: \ - datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.fawiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0297029702970297" \ - --pop-rate "false=0.9702970297029703" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/fawiki.damaging.md - -tuning_reports/fawiki.goodfaith.md: \ - datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.fawiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9834641681438339" \ - --pop-rate "false=0.01653583185616614" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/fawiki.goodfaith.gradient_boosting.model: \ - datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.fawiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9834641681438339" \ - --pop-rate "false=0.01653583185616614" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/fawiki.goodfaith.md - -fawiki_models: \ - models/fawiki.damaging.gradient_boosting.model \ - models/fawiki.goodfaith.gradient_boosting.model - -fawiki_tuning_reports: \ - tuning_reports/fawiki.damaging.md \ - tuning_reports/fawiki.goodfaith.md - - -############################# French Wikipedia ################################ -datasets/frwiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/frwiki/38/ > $@ - -datasets/frwiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/98251/output/0/json-lines?download=true > $@ - -datasets/frwiki.autolabeled_revisions.20k_2016.json: \ - datasets/frwiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://fr.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/frwiki.revisions_for_review.5k_2016.json: \ - datasets/frwiki.autolabeled_revisions.20k_2016.json - ( \ - cat datasets/frwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/frwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/frwiki.labeled_revisions.20k_2016.json: \ - datasets/frwiki.human_labeled_revisions.5k_2016.json \ - datasets/frwiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/frwiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/frwiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.frwiki.damaging \ - editquality.feature_lists.frwiki.goodfaith \ - --host https://fr.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/frwiki.damaging.md: \ - datasets/frwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.frwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.028751753155680224" \ - --pop-rate "false=0.9712482468443198" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/frwiki.damaging.gradient_boosting.model: \ - datasets/frwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.frwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.028751753155680224" \ - --pop-rate "false=0.9712482468443198" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/frwiki.damaging.md - -tuning_reports/frwiki.goodfaith.md: \ - datasets/frwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.frwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9786115007012622" \ - --pop-rate "false=0.021388499298737762" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/frwiki.goodfaith.gradient_boosting.model: \ - datasets/frwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.frwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9786115007012622" \ - --pop-rate "false=0.021388499298737762" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/frwiki.goodfaith.md - -frwiki_models: \ - models/frwiki.damaging.gradient_boosting.model \ - models/frwiki.goodfaith.gradient_boosting.model - -frwiki_tuning_reports: \ - tuning_reports/frwiki.damaging.md \ - tuning_reports/frwiki.goodfaith.md - - -############################# Galician Wikipedia ################################ -datasets/glwiki.sampled_revisions.60k_2019.json: - wget -qO- https://quarry.wmflabs.org/run/385851/output/0/json-lines?download=true > $@ - -datasets/glwiki.autolabeled_revisions.60k_2019.json: \ - datasets/glwiki.sampled_revisions.60k_2019.json - cat $< | \ - ./utility autolabel --host=https://gl.wikipedia.org \ - --trusted-groups=checkuser,bureaucrat,sysop,eliminator,bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/glwiki.autolabeled_revisions.w_cache.60k_2019.json: \ - datasets/glwiki.autolabeled_revisions.60k_2019.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.glwiki.reverted \ - --host https://gl.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/glwiki.reverted.md: \ - datasets/glwiki.autolabeled_revisions.w_cache.60k_2019.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.glwiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.0405" \ - --pop-rate "false=0.9595" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/glwiki.reverted.gradient_boosting.model: \ - datasets/glwiki.autolabeled_revisions.w_cache.60k_2019.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.glwiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=7' \ - -p 'n_estimators=700' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.0405" \ - --pop-rate "false=0.9595" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/glwiki.reverted.md - -glwiki_models: \ - models/glwiki.reverted.gradient_boosting.model - -glwiki_tuning_reports: \ - tuning_reports/glwiki.reverted.md - - -############################# Hebrew Wikipedia ################################ -datasets/hewiki.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/hewiki/25/ > $@ - -datasets/hewiki.sampled_revisions.20k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/42222/output/0/json-lines?download=true > $@ - -# From https://quarry.wmflabs.org/query/33235 -datasets/hewiki.sampled_revisions.20k_2019.json: - wget -qO- https://quarry.wmflabs.org/run/332742/output/0/json-lines > $@ - -datasets/hewiki.autolabeled_revisions.20k_2015.json: \ - datasets/hewiki.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://he.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/hewiki.autolabeled_revisions.20k_2019.json: \ - datasets/hewiki.sampled_revisions.20k_2019.json - cat $< | \ - ./utility autolabel --host=https://he.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/hewiki.revisions_for_review.5k_2015.json: \ - datasets/hewiki.autolabeled_revisions.20k_2015.json - ( \ - cat datasets/hewiki.autolabeled_revisions.20k_2015.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/hewiki.autolabeled_revisions.20k_2015.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/hewiki.labeled_revisions.20k_2015.json: \ - datasets/hewiki.human_labeled_revisions.5k_2015.json \ - datasets/hewiki.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/hewiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/hewiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.hewiki.damaging \ - editquality.feature_lists.hewiki.goodfaith \ - --host https://he.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/hewiki.damaging.md: \ - datasets/hewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.hewiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.046281731975314835" \ - --pop-rate "false=0.9537182680246852" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/hewiki.damaging.rf.model: \ - datasets/hewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.RandomForest \ - editquality.feature_lists.hewiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'criterion="entropy"' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=1' \ - -p 'n_estimators=320' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.046281731975314835" \ - --pop-rate "false=0.9537182680246852" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/hewiki.damaging.md - -tuning_reports/hewiki.goodfaith.md: \ - datasets/hewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.hewiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9718244945060459" \ - --pop-rate "false=0.02817550549395409" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/hewiki.goodfaith.gradient_boosting.model: \ - datasets/hewiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.hewiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9718244945060459" \ - --pop-rate "false=0.02817550549395409" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/hewiki.goodfaith.md - -hewiki_models: \ - models/hewiki.damaging.rf.model \ - models/hewiki.goodfaith.gradient_boosting.model - -hewiki_tuning_reports: \ - tuning_reports/hewiki.damaging.md \ - tuning_reports/hewiki.goodfaith.md - - -############################# Hindi Wikipedia ################################ -# From https://quarry.wmflabs.org/query/44835 -datasets/hiwiki.sampled_revisions.10k_2020.json: - wget -qO- https://quarry.wmflabs.org/run/467016/output/0/json-lines > $@ - -datasets/hiwiki.autolabeled_revisions.10k_2020.json: \ - datasets/hiwiki.sampled_revisions.10k_2020.json - cat $< | \ - ./utility autolabel --host=https://hi.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled,autoreview,reviewer \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -hiwiki_models: - -hiwiki_tuning_reports: - -############################# Croatian Wikipedia ################################ -# From https://quarry.wmflabs.org/query/21213 -datasets/hrwiki.sampled_revisions.20k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/200064/output/0/json-lines?download=true > $@ - -datasets/hrwiki.autolabeled_revisions.20k_2017.json: \ - datasets/hrwiki.sampled_revisions.20k_2017.json - cat $< | \ - ./utility autolabel --host=https://hr.wikipedia.org \ - --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/hrwiki.autolabeled_revisions.w_cache.20k_2017.json: \ - datasets/hrwiki.autolabeled_revisions.20k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.hrwiki.reverted \ - --host https://hr.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/hrwiki.reverted.md: \ - datasets/hrwiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.hrwiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.07927353670258512" \ - --pop-rate "false=0.9207264632974149" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/hrwiki.reverted.gradient_boosting.model: \ - datasets/hrwiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.hrwiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.07927353670258512" \ - --pop-rate "false=0.9207264632974149" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/hrwiki.reverted.md - -hrwiki_models: \ - models/hrwiki.reverted.gradient_boosting.model - -hrwiki_tuning_reports: \ - tuning_reports/hrwiki.reverted.md - - -############################# Hungarian Wikipedia ################################ -datasets/huwiki.badfaith_or_damaging_relabeling_revisions.5k_2019.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/huwiki/92/ > $@ - -datasets/huwiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/huwiki/33/ > $@ - -datasets/huwiki.sampled_revisions.40k_2016.json: - wget -qO- http://quarry.wmflabs.org/run/79645/output/0/json-lines?download=true > $@ - -datasets/huwiki.autolabeled_revisions.40k_2016.json: \ - datasets/huwiki.sampled_revisions.40k_2016.json - cat $< | \ - ./utility autolabel --host=https://hu.wikipedia.org \ - --trusted-groups=sysop,oversight,trusted,bot,rollbacker,checkuser,abusefilter,bureaucrat,editor,templateeditor,interface-editor \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/huwiki.revisions_for_review.5k_2016.json: \ - datasets/huwiki.autolabeled_revisions.40k_2016.json - ( \ - cat datasets/huwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/huwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/huwiki.labeled_revisions.40k_2016.json: \ - datasets/huwiki.badfaith_or_damaging_relabeling_revisions.5k_2019.json \ - datasets/huwiki.original_labeled_revisions.40k_2016.json - ./utility merge_labels $^ > $@ - -datasets/huwiki.original_labeled_revisions.40k_2016.json: \ - datasets/huwiki.human_labeled_revisions.5k_2016.json \ - datasets/huwiki.autolabeled_revisions.40k_2016.json - ./utility merge_labels $^ > $@ - -datasets/huwiki.labeled_revisions.w_cache.40k_2016.json: \ - datasets/huwiki.labeled_revisions.40k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.huwiki.damaging \ - editquality.feature_lists.huwiki.goodfaith \ - --host https://hu.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/huwiki.damaging.md: \ - datasets/huwiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.huwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.01093805131" \ - --pop-rate "false=0.98906194869" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/huwiki.damaging.gradient_boosting.model: \ - datasets/huwiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.huwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.01093805131" \ - --pop-rate "false=0.98906194869" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/huwiki.damaging.md - -tuning_reports/huwiki.goodfaith.md: \ - datasets/huwiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.huwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.99221230908" \ - --pop-rate "false=0.007787690919999979" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/huwiki.goodfaith.gradient_boosting.model: \ - datasets/huwiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.huwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.99221230908" \ - --pop-rate "false=0.007787690919999979" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/huwiki.goodfaith.md - -huwiki_models: \ - models/huwiki.damaging.gradient_boosting.model \ - models/huwiki.goodfaith.gradient_boosting.model - -huwiki_tuning_reports: \ - tuning_reports/huwiki.damaging.md \ - tuning_reports/huwiki.goodfaith.md - - -############################# Indonesian Wikipedia ################################ -datasets/idwiki.sampled_revisions.100k_2016.json: - wget -qO- http://quarry.wmflabs.org/run/135748/output/0/json-lines?download=true > $@ - -datasets/idwiki.autolabeled_revisions.100k_2016.json: \ - datasets/idwiki.sampled_revisions.100k_2016.json - cat $< | \ - ./utility autolabel --host=https://id.wikipedia.org \ - --trusted-groups=autoreview,bot,bureaucrat,checkuser,editor,flow-bot,oversight,reviewer,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/idwiki.autolabeled_revisions.w_cache.100k_2016.json: \ - datasets/idwiki.autolabeled_revisions.100k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.idwiki.reverted \ - --host https://id.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/idwiki.reverted.md: \ - datasets/idwiki.autolabeled_revisions.w_cache.100k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.idwiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.02272613605673532" \ - --pop-rate "false=0.9772738639432647" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/idwiki.reverted.gradient_boosting.model: \ - datasets/idwiki.autolabeled_revisions.w_cache.100k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.idwiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.02272613605673532" \ - --pop-rate "false=0.9772738639432647" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/idwiki.reverted.md - -idwiki_models: \ - models/idwiki.reverted.gradient_boosting.model - -idwiki_tuning_reports: \ - tuning_reports/idwiki.reverted.md - - -############################# Icelandic Wikipedia ################################ -# From https://quarry.wmflabs.org/query/23305 -datasets/iswiki.sampled_revisions.20k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/218976/output/0/json-lines?download=true > $@ - -datasets/iswiki.autolabeled_revisions.20k_2017.json: \ - datasets/iswiki.sampled_revisions.20k_2017.json - cat $< | \ - ./utility autolabel --host=https://is.wikipedia.org \ - --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/iswiki.autolabeled_revisions.w_cache.20k_2017.json: \ - datasets/iswiki.autolabeled_revisions.20k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.iswiki.reverted \ - --host https://is.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/iswiki.reverted.md: \ - datasets/iswiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.iswiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.08115405770288514" \ - --pop-rate "false=0.9188459422971149" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/iswiki.reverted.gradient_boosting.model: \ - datasets/iswiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.iswiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.08115405770288514" \ - --pop-rate "false=0.9188459422971149" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/iswiki.reverted.md - -iswiki_models: \ - models/iswiki.reverted.gradient_boosting.model - -iswiki_tuning_reports: \ - tuning_reports/iswiki.reverted.md - - -############################# Italian Wikipedia ################################ -datasets/itwiki.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/itwiki/18/ > $@ - -datasets/itwiki.sampled_revisions.20k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/42224/output/0/json-lines?download=true > $@ - -datasets/itwiki.autolabeled_revisions.20k_2015.json: \ - datasets/itwiki.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://it.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/itwiki.labeled_revisions.20k_2015.json: \ - datasets/itwiki.human_labeled_revisions.5k_2015.json \ - datasets/itwiki.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/itwiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/itwiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.itwiki.damaging \ - editquality.feature_lists.itwiki.goodfaith \ - --host https://it.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/itwiki.damaging.md: \ - datasets/itwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.itwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.038665452792802445" \ - --pop-rate "false=0.9613345472071976" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/itwiki.damaging.gradient_boosting.model: \ - datasets/itwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.itwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.038665452792802445" \ - --pop-rate "false=0.9613345472071976" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/itwiki.damaging.md - -tuning_reports/itwiki.goodfaith.md: \ - datasets/itwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.itwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9807743801210304" \ - --pop-rate "false=0.019225619878969646" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/itwiki.goodfaith.gradient_boosting.model: \ - datasets/itwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.itwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9807743801210304" \ - --pop-rate "false=0.019225619878969646" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/itwiki.goodfaith.md - -itwiki_models: \ - models/itwiki.damaging.gradient_boosting.model \ - models/itwiki.goodfaith.gradient_boosting.model - -itwiki_tuning_reports: \ - tuning_reports/itwiki.damaging.md \ - tuning_reports/itwiki.goodfaith.md - - -############################# Japanese Wikipedia ################################ -datasets/jawiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/jawiki/15 > $@ - -# From https://quarry.wmflabs.org/query/9927 -datasets/jawiki.sampled_revisions.40k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/89016/output/0/json-lines?download=true > $@ - -datasets/jawiki.autolabeled_revisions.40k_2016.json: \ - datasets/jawiki.sampled_revisions.40k_2016.json - cat $< | \ - ./utility autolabel --host=https://ja.wikipedia.org \ - --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/jawiki.labeled_revisions.40k_2016.json: \ - datasets/jawiki.human_labeled_revisions.5k_2016.json \ - datasets/jawiki.autolabeled_revisions.40k_2016.json - ./utility merge_labels $^ > $@ - -datasets/jawiki.labeled_revisions.w_cache.40k_2016.json: \ - datasets/jawiki.labeled_revisions.40k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.jawiki.damaging \ - editquality.feature_lists.jawiki.goodfaith \ - --host https://ja.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/jawiki.damaging.md: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.jawiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.010758453070269498" \ - --pop-rate "false=0.9892415469297305" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/jawiki.damaging.gradient_boosting.model: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.jawiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=1' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=3' \ - -p 'n_estimators=300' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.010758453070269498" \ - --pop-rate "false=0.9892415469297305" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/jawiki.damaging.md - -tuning_reports/jawiki.goodfaith.md: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.jawiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.00461076560154407" \ - --pop-rate "false=0.995389234398456" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/jawiki.goodfaith.gradient_boosting.model: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.jawiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=1' \ - -p 'max_features="log2"' \ - -p 'min_samples_leaf=7' \ - -p 'n_estimators=300' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.00461076560154407" \ - --pop-rate "false=0.995389234398456" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/jawiki.goodfaith.md - -jawiki_models: \ - models/jawiki.damaging.gradient_boosting.model \ - models/jawiki.goodfaith.gradient_boosting.model - -jawiki_tuning_reports: \ - tuning_reports/jawiki.damaging.md \ - tuning_reports/jawiki.goodfaith.md - - -############################# Korean Wikipedia ################################ -datasets/kowiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/kowiki/50/ > $@ - -# From https://quarry.wmflabs.org/query/17645 -datasets/kowiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/165613/output/0/json-lines?download=true > $@ - -datasets/kowiki.autolabeled_revisions.20k_2016.json: \ - datasets/kowiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://ko.wikipedia.org \ - --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/kowiki.labeled_revisions.20k_2016.json: \ - datasets/kowiki.human_labeled_revisions.5k_2016.json \ - datasets/kowiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/kowiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/kowiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.kowiki.damaging \ - editquality.feature_lists.kowiki.goodfaith \ - --host https://ko.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/kowiki.damaging.md: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.kowiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.038665452792802445" \ - --pop-rate "false=0.9613345472071976" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/kowiki.damaging.gradient_boosting.model: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.kowiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.038665452792802445" \ - --pop-rate "false=0.9613345472071976" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/kowiki.damaging.md - -tuning_reports/kowiki.goodfaith.md: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.kowiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9807743801210304" \ - --pop-rate "false=0.019225619878969646" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/kowiki.goodfaith.gradient_boosting.model: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.kowiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9807743801210304" \ - --pop-rate "false=0.019225619878969646" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/kowiki.goodfaith.md - -kowiki_models: \ - models/kowiki.damaging.gradient_boosting.model \ - models/kowiki.goodfaith.gradient_boosting.model - -kowiki_tuning_reports: \ - tuning_reports/kowiki.damaging.md \ - tuning_reports/kowiki.goodfaith.md - - -############################# Latvian Wikipedia ################################ -datasets/lvwiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - http://labels.wmflabs.org/campaigns/lvwiki/56/ > $@ - -# From https://quarry.wmflabs.org/query/17989 -datasets/lvwiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/169100/output/0/json-lines?download=true > $@ - -datasets/lvwiki.autolabeled_revisions.20k_2016.json: \ - datasets/lvwiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://lv.wikipedia.org \ - --trusted-groups=sysop,bureaucrat,bot,oversight,checkuser,patroller,autopatrolled \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/lvwiki.labeled_revisions.20k_2016.json: \ - datasets/lvwiki.human_labeled_revisions.5k_2016.json \ - datasets/lvwiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/lvwiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.lvwiki.damaging \ - editquality.feature_lists.lvwiki.goodfaith \ - --host https://lv.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/lvwiki.damaging.md: \ - datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.lvwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0293" \ - --pop-rate "false=0.9707" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/lvwiki.damaging.gradient_boosting.model: \ - datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.lvwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0293" \ - --pop-rate "false=0.9707" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/lvwiki.damaging.md - -tuning_reports/lvwiki.goodfaith.md: \ - datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.lvwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.978" \ - --pop-rate "false=0.02200000000000002" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/lvwiki.goodfaith.gradient_boosting.model: \ - datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.lvwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.5' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.978" \ - --pop-rate "false=0.02200000000000002" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/lvwiki.goodfaith.md - -lvwiki_models: \ - models/lvwiki.damaging.gradient_boosting.model \ - models/lvwiki.goodfaith.gradient_boosting.model - -lvwiki_tuning_reports: \ - tuning_reports/lvwiki.damaging.md \ - tuning_reports/lvwiki.goodfaith.md - - -############################# Dutch Wikipedia ################################ -datasets/nlwiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/nlwiki/14/ > $@ - -datasets/nlwiki.sampled_revisions.20k_2016.json: - wget -qO- http://quarry.wmflabs.org/run/42225/output/0/json-lines?download=true > $@ - -datasets/nlwiki.autolabeled_revisions.20k_2016.json: \ - datasets/nlwiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://nl.wikipedia.org \ - --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/nlwiki.labeled_revisions.20k_2016.json: \ - datasets/nlwiki.human_labeled_revisions.5k_2016.json \ - datasets/nlwiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/nlwiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.nlwiki.damaging \ - editquality.feature_lists.nlwiki.goodfaith \ - --host https://nl.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/nlwiki.damaging.md: \ - datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.nlwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.05068086413432989" \ - --pop-rate "false=0.9493191358656701" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/nlwiki.damaging.gradient_boosting.model: \ - datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.nlwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.05068086413432989" \ - --pop-rate "false=0.9493191358656701" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/nlwiki.damaging.md - -tuning_reports/nlwiki.goodfaith.md: \ - datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.nlwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9646257806900789" \ - --pop-rate "false=0.03537421930992113" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/nlwiki.goodfaith.gradient_boosting.model: \ - datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.nlwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9646257806900789" \ - --pop-rate "false=0.03537421930992113" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/nlwiki.goodfaith.md - -nlwiki_models: \ - models/nlwiki.damaging.gradient_boosting.model \ - models/nlwiki.goodfaith.gradient_boosting.model - -nlwiki_tuning_reports: \ - tuning_reports/nlwiki.damaging.md \ - tuning_reports/nlwiki.goodfaith.md - - -############################# Norwegian Wikipedia ################################ -datasets/nowiki.human_labeled_revisions.5k_2019.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/nowiki/27/ > $@ - -datasets/nowiki.sampled_revisions.100k_2015.json: - wget -qO- https://quarry.wmflabs.org/run/67250/output/0/json-lines?download=true > $@ - -datasets/nowiki.autolabeled_revisions.100k_2015.json: \ - datasets/nowiki.sampled_revisions.100k_2015.json - cat $< | \ - ./utility autolabel --host=https://no.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/nowiki.revisions_for_review.5k_2015.json: \ - datasets/nowiki.autolabeled_revisions.100k_2015.json - ( \ - cat datasets/nowiki.autolabeled_revisions.100k_2015.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/nowiki.autolabeled_revisions.100k_2015.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/nowiki.labeled_revisions.100k_2015.json: \ - datasets/nowiki.human_labeled_revisions.5k_2019.json \ - datasets/nowiki.autolabeled_revisions.100k_2015.json - ./utility merge_labels $^ > $@ - -datasets/nowiki.autolabeled_revisions.40k_2015.json: \ - datasets/nowiki.autolabeled_revisions.100k_2015.json - cat $^ | shuf -n 40000 > $@ - -datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json: \ - datasets/nowiki.labeled_revisions.100k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.nowiki.damaging \ - editquality.feature_lists.nowiki.goodfaith \ - --host https://no.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/nowiki.damaging.md: \ - datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.nowiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.018525821674654473" \ - --pop-rate "false=0.9814741783253456" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/nowiki.damaging.gradient_boosting.model: \ - datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.nowiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.018525821674654473" \ - --pop-rate "false=0.9814741783253456" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/nowiki.damaging.md - -tuning_reports/nowiki.goodfaith.md: \ - datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.nowiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9865927208557759" \ - --pop-rate "false=0.013407279144224127" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/nowiki.goodfaith.gradient_boosting.model: \ - datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.nowiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9865927208557759" \ - --pop-rate "false=0.013407279144224127" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/nowiki.goodfaith.md - -nowiki_models: \ - models/nowiki.damaging.gradient_boosting.model \ - models/nowiki.goodfaith.gradient_boosting.model - -nowiki_tuning_reports: \ - tuning_reports/nowiki.damaging.md \ - tuning_reports/nowiki.goodfaith.md - - -############################# Portugueses Wikipedia ################################ -datasets/ptwiki.human_labeled_revisions.20k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/ptwiki/7/ > $@ - -datasets/ptwiki.human_labeled_revisions.4k_2020.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/ptwiki/93/ > $@ - -# From https://quarry.wmflabs.org/query/43215 -datasets/ptwiki.sampled_revisions.10k_2020.json: - wget -qO- https://quarry.wmflabs.org/run/444194/output/0/json-lines > $@ - -datasets/ptwiki.autolabeled_revisions.10k_2020.json: \ - datasets/ptwiki.sampled_revisions.10k_2020.json - cat $< | \ - ./utility autolabel --host=https://pt.wikipedia.org \ - --trusted-groups=bot,sysop,bureaucrat,autoreviewer,rollbacker \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/ptwiki.labeled_revisions.10k_2020.json: \ - datasets/ptwiki.human_labeled_revisions.4k_2020.json \ - datasets/ptwiki.autolabeled_revisions.10k_2020.json - ./utility merge_labels $^ > $@ - -datasets/ptwiki.labeled_revisions.20k_2015.json: \ - datasets/ptwiki.human_labeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/ptwiki.labeled_revisions.30k_2015_2020.json: \ - datasets/ptwiki.labeled_revisions.20k_2015.json \ - datasets/ptwiki.labeled_revisions.10k_2020.json - cat $^ > $@ - -datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json: \ - datasets/ptwiki.labeled_revisions.30k_2015_2020.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.ptwiki.damaging \ - editquality.feature_lists.ptwiki.goodfaith \ - --host https://pt.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/ptwiki.damaging.md: \ - datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.ptwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.06896029864299047" \ - --pop-rate "false=0.9310397013570095" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/ptwiki.damaging.gradient_boosting.model: \ - datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.ptwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.06896029864299047" \ - --pop-rate "false=0.9310397013570095" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/ptwiki.damaging.md - -tuning_reports/ptwiki.goodfaith.md: \ - datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.ptwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9397669373959542" \ - --pop-rate "false=0.06023306260404582" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/ptwiki.goodfaith.gradient_boosting.model: \ - datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.ptwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9397669373959542" \ - --pop-rate "false=0.06023306260404582" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/ptwiki.goodfaith.md - -ptwiki_models: \ - models/ptwiki.damaging.gradient_boosting.model \ - models/ptwiki.goodfaith.gradient_boosting.model - -ptwiki_tuning_reports: \ - tuning_reports/ptwiki.damaging.md \ - tuning_reports/ptwiki.goodfaith.md - - -############################# Romanian Wikipedia ################################ -datasets/rowiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/rowiki/48/ > $@ - -datasets/rowiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/146926/output/0/json-lines?download=true > $@ - -datasets/rowiki.autolabeled_revisions.20k_2016.json: \ - datasets/rowiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://ro.wikipedia.org \ - --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot,templateeditor,patroller,autopatrolled \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/rowiki.labeled_revisions.20k_2016.json: \ - datasets/rowiki.human_labeled_revisions.5k_2016.json \ - datasets/rowiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/rowiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/rowiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.rowiki.damaging \ - editquality.feature_lists.rowiki.goodfaith \ - --host https://ro.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/rowiki.damaging.md: \ - datasets/rowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.rowiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.04956982793117247" \ - --pop-rate "false=0.9504301720688275" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/rowiki.damaging.gradient_boosting.model: \ - datasets/rowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.rowiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.04956982793117247" \ - --pop-rate "false=0.9504301720688275" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/rowiki.damaging.md - -tuning_reports/rowiki.goodfaith.md: \ - datasets/rowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.rowiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9699379751900761" \ - --pop-rate "false=0.030062024809923926" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/rowiki.goodfaith.gradient_boosting.model: \ - datasets/rowiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.rowiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9699379751900761" \ - --pop-rate "false=0.030062024809923926" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/rowiki.goodfaith.md - -rowiki_models: \ - models/rowiki.damaging.gradient_boosting.model \ - models/rowiki.goodfaith.gradient_boosting.model - -rowiki_tuning_reports: \ - tuning_reports/rowiki.damaging.md \ - tuning_reports/rowiki.goodfaith.md - - -############################# Russian Wikipedia ################################ -datasets/ruwiki.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/ruwiki/10/ > $@ - -datasets/ruwiki.sampled_revisions.20k_2015.json: - wget -qO- https://quarry.wmflabs.org/run/48649/output/0/json-lines?download=true > $@ - -# From https://quarry.wmflabs.org/query/34921 -datasets/ruwiki.sampled_revisions.20k_2019.json: - wget -qO- https://quarry.wmflabs.org/run/359270/output/0/json-lines > $@ - -datasets/ruwiki.autolabeled_revisions.20k_2015.json: \ - datasets/ruwiki.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://ru.wikipedia.org \ - --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/ruwiki.autolabeled_revisions.20k_2019.json: \ - datasets/ruwiki.sampled_revisions.20k_2019.json - cat $< | \ - ./utility autolabel --host=https://ru.wikipedia.org \ - --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/ruwiki.labeled_revisions.20k_2015.json: \ - datasets/ruwiki.human_labeled_revisions.5k_2015.json \ - datasets/ruwiki.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/ruwiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.ruwiki.damaging \ - editquality.feature_lists.ruwiki.goodfaith \ - --host https://ru.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/ruwiki.damaging.md: \ - datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.ruwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.053479185657854755" \ - --pop-rate "false=0.9465208143421453" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/ruwiki.damaging.gradient_boosting.model: \ - datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.ruwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.053479185657854755" \ - --pop-rate "false=0.9465208143421453" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/ruwiki.damaging.md - -tuning_reports/ruwiki.goodfaith.md: \ - datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.ruwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9713866099463182" \ - --pop-rate "false=0.028613390053681798" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/ruwiki.goodfaith.gradient_boosting.model: \ - datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.ruwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=3' \ - -p 'max_features="log2"' \ - -p 'n_estimators=300' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9713866099463182" \ - --pop-rate "false=0.028613390053681798" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/ruwiki.goodfaith.md - -ruwiki_models: \ - models/ruwiki.damaging.gradient_boosting.model \ - models/ruwiki.goodfaith.gradient_boosting.model - -ruwiki_tuning_reports: \ - tuning_reports/ruwiki.damaging.md \ - tuning_reports/ruwiki.goodfaith.md - - -############################# Albanian Wikipedia ################################ -datasets/sqwiki.human_labeled_revisions.5k_2016.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/sqwiki/57/ > $@ - -# From https://quarry.wmflabs.org/query/17988 -datasets/sqwiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/169099/output/0/json-lines?download=true > $@ - -datasets/sqwiki.autolabeled_revisions.20k_2016.json: \ - datasets/sqwiki.sampled_revisions.20k_2016.json - cat $< | \ - ./utility autolabel --host=https://sq.wikipedia.org \ - --trusted-groups=sysop,oversight,trusted,bot,rollbacker,checkuser,abusefilter,bureaucrat \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/sqwiki.labeled_revisions.20k_2016.json: \ - datasets/sqwiki.human_labeled_revisions.5k_2016.json \ - datasets/sqwiki.autolabeled_revisions.20k_2016.json - ./utility merge_labels $^ > $@ - -datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/sqwiki.labeled_revisions.20k_2016.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.sqwiki.damaging \ - editquality.feature_lists.sqwiki.goodfaith \ - --host https://sq.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/sqwiki.damaging.md: \ - datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.sqwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0287028702870287" \ - --pop-rate "false=0.9712971297129713" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/sqwiki.damaging.gradient_boosting.model: \ - datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.sqwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0287028702870287" \ - --pop-rate "false=0.9712971297129713" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/sqwiki.damaging.md - -tuning_reports/sqwiki.goodfaith.md: \ - datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.sqwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9763476347634763" \ - --pop-rate "false=0.023652365236523698" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/sqwiki.goodfaith.gradient_boosting.model: \ - datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.sqwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9763476347634763" \ - --pop-rate "false=0.023652365236523698" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/sqwiki.goodfaith.md - -sqwiki_models: \ - models/sqwiki.damaging.gradient_boosting.model \ - models/sqwiki.goodfaith.gradient_boosting.model - -sqwiki_tuning_reports: \ - tuning_reports/sqwiki.damaging.md \ - tuning_reports/sqwiki.goodfaith.md - - -############################# Serbian Wikipedia ################################ -datasets/srwiki.badfaith_relabeling_revisions.500_2017.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/srwiki/89/ > $@ - -datasets/srwiki.human_labeled_revisions.5k_2017.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/srwiki/62/ > $@ - -datasets/srwiki.sampled_revisions.120k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/211097/output/0/json-lines?download=true > $@ - -datasets/srwiki.autolabeled_revisions.120k_2017.json: \ - datasets/srwiki.sampled_revisions.120k_2017.json - cat $< | \ - ./utility autolabel --host=https://sr.wikipedia.org \ - --trusted-groups=autopatrolled,bot,bureaucrat,patroller,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/srwiki.labeled_revisions.120k_2017.json: \ - datasets/srwiki.badfaith_relabeling_revisions.500_2017.json \ - datasets/srwiki.original_labeled_revisions.120k_2017.json - ./utility merge_labels $^ > $@ - -datasets/srwiki.original_labeled_revisions.120k_2017.json: \ - datasets/srwiki.human_labeled_revisions.5k_2017.json \ - datasets/srwiki.autolabeled_revisions.120k_2017.json - ./utility merge_labels $^ > $@ - -datasets/srwiki.labeled_revisions.w_cache.120k_2017.json: \ - datasets/srwiki.labeled_revisions.120k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.srwiki.damaging \ - editquality.feature_lists.srwiki.goodfaith \ - --host https://sr.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/srwiki.damaging.md: \ - datasets/srwiki.labeled_revisions.w_cache.120k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.srwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0056294177044766075" \ - --pop-rate "false=0.9943705822955234" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/srwiki.damaging.gradient_boosting.model: \ - datasets/srwiki.labeled_revisions.w_cache.120k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.srwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.0056294177044766075" \ - --pop-rate "false=0.9943705822955234" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/srwiki.damaging.md - -tuning_reports/srwiki.goodfaith.md: \ - datasets/srwiki.labeled_revisions.w_cache.120k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.srwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9961881521373275" \ - --pop-rate "false=0.003811847862672524" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/srwiki.goodfaith.gradient_boosting.model: \ - datasets/srwiki.labeled_revisions.w_cache.120k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.srwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9961881521373275" \ - --pop-rate "false=0.003811847862672524" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/srwiki.goodfaith.md - -srwiki_models: \ - models/srwiki.damaging.gradient_boosting.model \ - models/srwiki.goodfaith.gradient_boosting.model - -srwiki_tuning_reports: \ - tuning_reports/srwiki.damaging.md \ - tuning_reports/srwiki.goodfaith.md - - -############################# Swedish Wikipedia ################################ -datasets/svwiki.human_labeled_revisions.5k_2016.json: +############################# Japanese Wikipedia ################################ +datasets/jawiki.human_labeled_revisions.5k_2016.json: ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/svwiki/35/ > $@ + https://labels.wmflabs.org/campaigns/jawiki/15 > $@ -datasets/svwiki.sampled_revisions.40k_2016.json: - wget -qO- http://quarry.wmflabs.org/run/79646/output/0/json-lines?download=true > $@ +# From https://quarry.wmflabs.org/query/9927 +datasets/jawiki.sampled_revisions.40k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/89016/output/0/json-lines?download=true > $@ -datasets/svwiki.autolabeled_revisions.40k_2016.json: \ - datasets/svwiki.sampled_revisions.40k_2016.json +datasets/jawiki.autolabeled_revisions.40k_2016.json: \ + datasets/jawiki.sampled_revisions.40k_2016.json cat $< | \ - ./utility autolabel --host=https://sv.wikipedia.org \ - --trusted-groups=sysop,oversight,trusted,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + ./utility autolabel --host=https://ja.wikipedia.org \ + --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ --trusted-edits=1000 \ --revert-radius=5 \ --verbose > $@ -datasets/svwiki.revisions_for_review.5k_2016.json: \ - datasets/svwiki.autolabeled_revisions.40k_2016.json - ( \ - cat datasets/svwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/svwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/svwiki.labeled_revisions.40k_2016.json: \ - datasets/svwiki.human_labeled_revisions.5k_2016.json \ - datasets/svwiki.autolabeled_revisions.40k_2016.json +datasets/jawiki.labeled_revisions.40k_2016.json: \ + datasets/jawiki.human_labeled_revisions.5k_2016.json \ + datasets/jawiki.autolabeled_revisions.40k_2016.json ./utility merge_labels $^ > $@ -datasets/svwiki.labeled_revisions.w_cache.40k_2016.json: \ - datasets/svwiki.labeled_revisions.40k_2016.json +datasets/jawiki.labeled_revisions.w_cache.40k_2016.json: \ + datasets/jawiki.labeled_revisions.40k_2016.json cat $< | \ revscoring extract \ - editquality.feature_lists.svwiki.damaging \ - editquality.feature_lists.svwiki.goodfaith \ - --host https://sv.wikipedia.org \ + editquality.feature_lists.jawiki.damaging \ + editquality.feature_lists.jawiki.goodfaith \ + --host https://ja.wikipedia.org \ --extractors $(max_extractors) \ --verbose > $@ -tuning_reports/svwiki.damaging.md: \ - datasets/svwiki.labeled_revisions.w_cache.40k_2016.json +tuning_reports/jawiki.damaging.md: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.svwiki.damaging \ + editquality.feature_lists.jawiki.damaging \ damaging \ $(damaging_tuning_statistic) \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.025209073272463033" \ - --pop-rate "false=0.974790926727537" \ + --pop-rate "true=0.010758453070269498" \ + --pop-rate "false=0.9892415469297305" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/svwiki.damaging.gradient_boosting.model: \ - datasets/svwiki.labeled_revisions.w_cache.40k_2016.json +models/jawiki.damaging.gradient_boosting.model: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.svwiki.damaging \ + editquality.feature_lists.jawiki.damaging \ damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=1' \ -p 'max_features="log2"' \ - -p 'n_estimators=700' \ + -p 'min_samples_leaf=3' \ + -p 'n_estimators=300' \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.025209073272463033" \ - --pop-rate "false=0.974790926727537" \ + --pop-rate "true=0.010758453070269498" \ + --pop-rate "false=0.9892415469297305" \ --center --scale > $@ - revscoring model_info $@ > model_info/svwiki.damaging.md + revscoring model_info $@ > model_info/jawiki.damaging.md -tuning_reports/svwiki.goodfaith.md: \ - datasets/svwiki.labeled_revisions.w_cache.40k_2016.json +tuning_reports/jawiki.goodfaith.md: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.svwiki.goodfaith \ + editquality.feature_lists.jawiki.goodfaith \ goodfaith \ $(goodfaith_tuning_statistic) \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9822912868686937" \ - --pop-rate "false=0.017708713131306286" \ + --pop-rate "true=0.00461076560154407" \ + --pop-rate "false=0.995389234398456" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/svwiki.goodfaith.gradient_boosting.model: \ - datasets/svwiki.labeled_revisions.w_cache.40k_2016.json +models/jawiki.goodfaith.gradient_boosting.model: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.svwiki.goodfaith \ + editquality.feature_lists.jawiki.goodfaith \ goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=1' \ -p 'max_features="log2"' \ - -p 'n_estimators=500' \ + -p 'min_samples_leaf=7' \ + -p 'n_estimators=300' \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9822912868686937" \ - --pop-rate "false=0.017708713131306286" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/svwiki.goodfaith.md - -svwiki_models: \ - models/svwiki.damaging.gradient_boosting.model \ - models/svwiki.goodfaith.gradient_boosting.model - -svwiki_tuning_reports: \ - tuning_reports/svwiki.damaging.md \ - tuning_reports/svwiki.goodfaith.md - - -############################# Tamil Wikipedia ################################ -# From https://quarry.wmflabs.org/query/20230 -datasets/tawiki.sampled_revisions.20k_2017.json: - wget -qO- https://quarry.wmflabs.org/run/190662/output/0/json-lines?download=true > $@ - -datasets/tawiki.autolabeled_revisions.20k_2017.json: \ - datasets/tawiki.sampled_revisions.20k_2017.json - cat $< | \ - ./utility autolabel --host=https://ta.wikipedia.org \ - --trusted-groups=autopatrolled,bot,bureaucrat,patroller,rollbacker,sysop \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/tawiki.autolabeled_revisions.w_cache.20k_2017.json: \ - datasets/tawiki.autolabeled_revisions.20k_2017.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.tawiki.reverted \ - --host https://ta.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/tawiki.reverted.md: \ - datasets/tawiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.tawiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.015904172328753335" \ - --pop-rate "false=0.9840958276712467" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/tawiki.reverted.gradient_boosting.model: \ - datasets/tawiki.autolabeled_revisions.w_cache.20k_2017.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.tawiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=500' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.015904172328753335" \ - --pop-rate "false=0.9840958276712467" \ + --pop-rate "true=0.00461076560154407" \ + --pop-rate "false=0.995389234398456" \ --center --scale > $@ - revscoring model_info $@ > model_info/tawiki.reverted.md + revscoring model_info $@ > model_info/jawiki.goodfaith.md -tawiki_models: \ - models/tawiki.reverted.gradient_boosting.model +jawiki_models: \ + models/jawiki.damaging.gradient_boosting.model \ + models/jawiki.goodfaith.gradient_boosting.model -tawiki_tuning_reports: \ - tuning_reports/tawiki.reverted.md +jawiki_tuning_reports: \ + tuning_reports/jawiki.damaging.md \ + tuning_reports/jawiki.goodfaith.md -############################# Turkish Wikipedia ################################ -datasets/trwiki.human_labeled_revisions.20k_2015.json: +############################# Korean Wikipedia ################################ +datasets/kowiki.human_labeled_revisions.5k_2016.json: ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/trwiki/5/ > $@ - -datasets/trwiki.sampled_revisions.20k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/168286/output/0/json-lines?download=true > $@ + https://labels.wmflabs.org/campaigns/kowiki/50/ > $@ -datasets/trwiki.sampled_revisions.20k_2020.json: - wget -qO- http://quarry.wmflabs.org/run/495204/output/0/json-lines?download=true > $@ +# From https://quarry.wmflabs.org/query/17645 +datasets/kowiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/165613/output/0/json-lines?download=true > $@ -datasets/trwiki.autolabeled_revisions.20k_2020.json: \ - datasets/trwiki.sampled_revisions.20k_2020.json +datasets/kowiki.autolabeled_revisions.20k_2016.json: \ + datasets/kowiki.sampled_revisions.20k_2016.json cat $< | \ - ./utility autolabel --host=https://tr.wikipedia.org \ - --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,flow-bot,interface-admin,interface-editor,patroller \ + ./utility autolabel --host=https://ko.wikipedia.org \ + --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ --trusted-edits=1000 \ --revert-radius=5 \ --verbose > $@ -datasets/trwiki.labeled_revisions.20k_2015.json: \ - datasets/trwiki.human_labeled_revisions.20k_2015.json +datasets/kowiki.labeled_revisions.20k_2016.json: \ + datasets/kowiki.human_labeled_revisions.5k_2016.json \ + datasets/kowiki.autolabeled_revisions.20k_2016.json ./utility merge_labels $^ > $@ -datasets/trwiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/trwiki.labeled_revisions.20k_2015.json +datasets/kowiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/kowiki.labeled_revisions.20k_2016.json cat $< | \ revscoring extract \ - editquality.feature_lists.trwiki.damaging \ - editquality.feature_lists.trwiki.goodfaith \ - --host https://tr.wikipedia.org \ + editquality.feature_lists.kowiki.damaging \ + editquality.feature_lists.kowiki.goodfaith \ + --host https://ko.wikipedia.org \ --extractors $(max_extractors) \ --verbose > $@ -tuning_reports/trwiki.damaging.md: \ - datasets/trwiki.labeled_revisions.w_cache.20k_2015.json +tuning_reports/kowiki.damaging.md: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.trwiki.damaging \ + editquality.feature_lists.kowiki.damaging \ damaging \ $(damaging_tuning_statistic) \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.0495014425266994" \ - --pop-rate "false=0.9504985574733006" \ + --pop-rate "true=0.038665452792802445" \ + --pop-rate "false=0.9613345472071976" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/trwiki.damaging.gradient_boosting.model: \ - datasets/trwiki.labeled_revisions.w_cache.20k_2015.json +models/kowiki.damaging.gradient_boosting.model: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.trwiki.damaging \ + editquality.feature_lists.kowiki.damaging \ damaging \ - --version=$(damaging_major_minor).1 \ + --version=$(damaging_major_minor).0 \ -p 'learning_rate=0.01' \ -p 'max_depth=7' \ -p 'max_features="log2"' \ -p 'n_estimators=700' \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.0495014425266994" \ - --pop-rate "false=0.9504985574733006" \ + --pop-rate "true=0.038665452792802445" \ + --pop-rate "false=0.9613345472071976" \ --center --scale > $@ - revscoring model_info $@ > model_info/trwiki.damaging.md + revscoring model_info $@ > model_info/kowiki.damaging.md -tuning_reports/trwiki.goodfaith.md: \ - datasets/trwiki.labeled_revisions.w_cache.20k_2015.json +tuning_reports/kowiki.goodfaith.md: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.trwiki.goodfaith \ + editquality.feature_lists.kowiki.goodfaith \ goodfaith \ $(goodfaith_tuning_statistic) \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9538897605911829" \ - --pop-rate "false=0.04611023940881709" \ + --pop-rate "true=0.9807743801210304" \ + --pop-rate "false=0.019225619878969646" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/trwiki.goodfaith.gradient_boosting.model: \ - datasets/trwiki.labeled_revisions.w_cache.20k_2015.json +models/kowiki.goodfaith.gradient_boosting.model: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.trwiki.goodfaith \ + editquality.feature_lists.kowiki.goodfaith \ goodfaith \ - --version=$(goodfaith_major_minor).1 \ + --version=$(goodfaith_major_minor).0 \ -p 'learning_rate=0.01' \ -p 'max_depth=7' \ -p 'max_features="log2"' \ -p 'n_estimators=700' \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9538897605911829" \ - --pop-rate "false=0.04611023940881709" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/trwiki.goodfaith.md - -trwiki_models: \ - models/trwiki.damaging.gradient_boosting.model \ - models/trwiki.goodfaith.gradient_boosting.model - -trwiki_tuning_reports: \ - tuning_reports/trwiki.damaging.md \ - tuning_reports/trwiki.goodfaith.md - - -############################# Ukranian Wikipedia ################################ -datasets/ukwiki.human_labeled_revisions.5k_2015.json: - ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/ukwiki/11/ > $@ - -datasets/ukwiki.sampled_revisions.20k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/48597/output/0/json-lines?download=true > $@ - -datasets/ukwiki.autolabeled_revisions.20k_2015.json: \ - datasets/ukwiki.sampled_revisions.20k_2015.json - cat $< | \ - ./utility autolabel --host=https://uk.wikipedia.org \ - --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/ukwiki.labeled_revisions.20k_2015.json: \ - datasets/ukwiki.human_labeled_revisions.5k_2015.json \ - datasets/ukwiki.autolabeled_revisions.20k_2015.json - ./utility merge_labels $^ > $@ - -datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json: \ - datasets/ukwiki.labeled_revisions.20k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.ukwiki.damaging \ - editquality.feature_lists.ukwiki.goodfaith \ - --host https://uk.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/ukwiki.damaging.md: \ - datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.ukwiki.damaging \ - damaging \ - $(damaging_tuning_statistic) \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.022485268272511114" \ - --pop-rate "false=0.9775147317274889" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/ukwiki.damaging.gradient_boosting.model: \ - datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.ukwiki.damaging \ - damaging \ - --version=$(damaging_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(damaging_weight) \ - --pop-rate "true=0.022485268272511114" \ - --pop-rate "false=0.9775147317274889" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/ukwiki.damaging.md - -tuning_reports/ukwiki.goodfaith.md: \ - datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.ukwiki.goodfaith \ - goodfaith \ - $(goodfaith_tuning_statistic) \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9853199627830043" \ - --pop-rate "false=0.014680037216995734" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/ukwiki.goodfaith.gradient_boosting.model: \ - datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.ukwiki.goodfaith \ - goodfaith \ - --version=$(goodfaith_major_minor).1 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=5' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9853199627830043" \ - --pop-rate "false=0.014680037216995734" \ - --center --scale > $@ - - revscoring model_info $@ > model_info/ukwiki.goodfaith.md - -ukwiki_models: \ - models/ukwiki.damaging.gradient_boosting.model \ - models/ukwiki.goodfaith.gradient_boosting.model - -ukwiki_tuning_reports: \ - tuning_reports/ukwiki.damaging.md \ - tuning_reports/ukwiki.goodfaith.md - - -############################# Urdu Wikipedia ################################ -datasets/urwiki.sampled_revisions.500k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/64277/output/0/json-lines?download=true > $@ - -datasets/urwiki.autolabeled_revisions.500k_2015.json: \ - datasets/urwiki.sampled_revisions.500k_2015.json - cat $< | \ - ./utility autolabel --host=https://ur.wikipedia.org \ - --trusted-groups=bot,bureaucrat,sysop,rollbackers \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/urwiki.revisions_for_review.5k_2015.json: \ - datasets/urwiki.autolabeled_revisions.500k_2015.json - ( \ - cat datasets/urwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/urwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -urwiki_models: - -urwiki_tuning_reports: - -############################# Vietnamese Wikipedia ################################ -datasets/viwiki.sampled_revisions.500k_2015.json: - wget -qO- http://quarry.wmflabs.org/run/65793/output/0/json-lines?download=true > $@ - -datasets/viwiki.autolabeled_revisions.500k_2015.json: \ - datasets/viwiki.sampled_revisions.500k_2015.json - cat $< | \ - ./utility autolabel --host=https://vi.wikipedia.org \ - --trusted-groups=checkuser,bureaucrat,sysop,eliminator,bot \ - --trusted-edits=1000 \ - --revert-radius=5 \ - --verbose > $@ - -datasets/viwiki.revisions_for_review.5k_2015.json: \ - datasets/viwiki.autolabeled_revisions.500k_2015.json - ( \ - cat datasets/viwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (true|"True") | \ - shuf -n 2500; \ - cat datasets/viwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (false|"False") | \ - shuf -n 2500 \ - ) | shuf > $@ - -datasets/viwiki.autolabeled_revisions.w_cache.500k_2015.json: \ - datasets/viwiki.autolabeled_revisions.500k_2015.json - cat $< | \ - revscoring extract \ - editquality.feature_lists.viwiki.reverted \ - --host https://vi.wikipedia.org \ - --extractors $(max_extractors) \ - --verbose > $@ - -tuning_reports/viwiki.reverted.md: \ - datasets/viwiki.autolabeled_revisions.w_cache.500k_2015.json - cat $< | \ - revscoring tune \ - config/classifiers.params.yaml \ - editquality.feature_lists.viwiki.reverted \ - reverted_for_damage \ - $(reverted_tuning_statistic) \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.019211042993949594" \ - --pop-rate "false=0.9807889570060504" \ - --center --scale \ - --cv-timeout 60 \ - --debug > $@ - -models/viwiki.reverted.gradient_boosting.model: \ - datasets/viwiki.autolabeled_revisions.w_cache.500k_2015.json - cat $< | \ - revscoring cv_train \ - revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.viwiki.reverted \ - reverted_for_damage \ - --version=$(reverted_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ - -p 'max_features="log2"' \ - -p 'n_estimators=700' \ - --label-weight $(reverted_weight) \ - --pop-rate "true=0.019211042993949594" \ - --pop-rate "false=0.9807889570060504" \ + --pop-rate "true=0.9807743801210304" \ + --pop-rate "false=0.019225619878969646" \ --center --scale > $@ - revscoring model_info $@ > model_info/viwiki.reverted.md - -viwiki_models: \ - models/viwiki.reverted.gradient_boosting.model + revscoring model_info $@ > model_info/kowiki.goodfaith.md -viwiki_tuning_reports: \ - tuning_reports/viwiki.reverted.md +kowiki_models: \ + models/kowiki.damaging.gradient_boosting.model \ + models/kowiki.goodfaith.gradient_boosting.model +kowiki_tuning_reports: \ + tuning_reports/kowiki.damaging.md \ + tuning_reports/kowiki.goodfaith.md ############################# Chinese Wikipedia ################################ datasets/zhwiki.human_labeled_revisions.5k_2016.json: @@ -4118,5 +360,3 @@ zhwiki_tuning_reports: \ tuning_reports/zhwiki.damaging.md \ tuning_reports/zhwiki.goodfaith.md - - diff --git a/editquality/feature_lists/jawiki.py b/editquality/feature_lists/jawiki.py index 1eeef0c6..86dfe581 100644 --- a/editquality/feature_lists/jawiki.py +++ b/editquality/feature_lists/jawiki.py @@ -21,11 +21,11 @@ ] damaging = wikipedia.page + \ - wikitext.parent + wikitext.diff + mediawiki.user_rights + \ + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + \ enwiki.badwords + enwiki.informals + \ - wikitext.parent_cjk + wikitext.diff_cjk + wikitext.parent_cjk + wikitext.diff_cjk "Damaging Features" reverted = damaging diff --git a/editquality/feature_lists/kowiki.py b/editquality/feature_lists/kowiki.py index 59e3e53b..bd1b7d5a 100644 --- a/editquality/feature_lists/kowiki.py +++ b/editquality/feature_lists/kowiki.py @@ -21,7 +21,7 @@ ] damaging = wikipedia.page + \ - wikitext.parent + wikitext.diff + mediawiki.user_rights + \ + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + \ enwiki.badwords + enwiki.informals + enwiki.dict_words + \ diff --git a/editquality/feature_lists/wikitext.py b/editquality/feature_lists/wikitext.py index 42776a89..5dc844a4 100644 --- a/editquality/feature_lists/wikitext.py +++ b/editquality/feature_lists/wikitext.py @@ -32,8 +32,24 @@ def _process_new_longest(p_longest, r_longest): max(wikitext.revision.parent.tokens, 1), name="revision.parent.markups_per_token"), ] - +""" +parent_cjk = [ + log(wikitext.revision.parent.cjk_chars + 1), + log(wikitext.revision.parent.cjk.cjks + 1), + div(wikitext.revision.parent.cjk_chars, + max(wikitext.revision.parent.cjk.cjks, 1), + name="revision.parent.cjk.cjkchars_per_cjkwordthing"), + div(wikitext.revision.parent.cjk.cjks, + max(wikitext.revision.parent.cjk.tokens, 1), + name="revision.parent.cjk.cjkwordthings_per_token"), +] +""" parent_cjk = [ + log(wikitext.revision.parent.headings + 1), + log(wikitext.revision.parent.wikilinks + 1), + log(wikitext.revision.parent.external_links + 1), + log(wikitext.revision.parent.templates + 1), + log(wikitext.revision.parent.ref_tags + 1), log(wikitext.revision.parent.cjk_chars + 1), log(wikitext.revision.parent.cjk.cjks + 1), div(wikitext.revision.parent.cjk_chars, @@ -42,6 +58,12 @@ def _process_new_longest(p_longest, r_longest): div(wikitext.revision.parent.cjk.cjks, max(wikitext.revision.parent.cjk.tokens, 1), name="revision.parent.cjk.cjkwordthings_per_token"), +# div(wikitext.revision.parent.markups, +# max(wikitext.revision.parent.cjk.cjks, 1), +# name="revision.parent.markups_per_cjkwordthing"), + div(wikitext.revision.parent.markups, + max(wikitext.revision.parent.cjk.tokens, 1), + name="revision.parent.markups_per_token"), ] diff = [ @@ -102,7 +124,7 @@ def _process_new_longest(p_longest, r_longest): depends_on=[wikitext.revision.parent.longest_repeated_char, wikitext.revision.longest_repeated_char]) ] - +""" diff_cjk = [ sub(wikitext.revision.cjk_chars, wikitext.revision.parent.cjk_chars, @@ -114,3 +136,56 @@ def _process_new_longest(p_longest, r_longest): wikitext.revision.parent.cjk.cjks, name="revision.diff.cjk.cjkwordthings_change"), ] +""" +diff_cjk = [ + wikitext.revision.diff.markup_delta_sum, + wikitext.revision.diff.markup_delta_increase, + wikitext.revision.diff.markup_delta_decrease, + wikitext.revision.diff.markup_prop_delta_sum, + wikitext.revision.diff.markup_prop_delta_increase, + wikitext.revision.diff.markup_prop_delta_decrease, + wikitext.revision.diff.number_delta_sum, + wikitext.revision.diff.number_delta_increase, + wikitext.revision.diff.number_delta_decrease, + wikitext.revision.diff.number_prop_delta_sum, + wikitext.revision.diff.number_prop_delta_increase, + wikitext.revision.diff.number_prop_delta_decrease, + sub(wikitext.revision.cjk_chars, + wikitext.revision.parent.cjk_chars, + name="revision.diff.cjkchars_change"), + sub(wikitext.revision.cjk.tokens, + wikitext.revision.parent.cjk.tokens, + name="revision.diff.cjk.tokens_change_inc_cjktokens"), + sub(wikitext.revision.cjk.cjks, + wikitext.revision.parent.cjk.cjks, + name="revision.diff.cjk.cjkwordthings_change"), + sub(wikitext.revision.markups, + wikitext.revision.parent.markups, + name="revision.diff.markups_change"), + sub(wikitext.revision.headings, + wikitext.revision.parent.headings, + name="revision.diff.headings_change"), + sub(wikitext.revision.external_links, + wikitext.revision.parent.external_links, + name="revision.diff.external_links_change"), + sub(wikitext.revision.wikilinks, + wikitext.revision.parent.wikilinks, + name="revision.diff.wikilinks_change"), + sub(wikitext.revision.templates, + wikitext.revision.parent.templates, + name="revision.diff.templates_change"), + sub(wikitext.revision.tags, + wikitext.revision.parent.tags, + name="revision.diff.tags_change"), + sub(wikitext.revision.ref_tags, + wikitext.revision.parent.ref_tags, + name="revision.diff.ref_tags_change"), + Feature("revision.diff.longest_new_token", + _process_new_longest, returns=int, + depends_on=[wikitext.revision.parent.longest_token, + wikitext.revision.longest_token]), + Feature("revision.diff.longest_new_repeated_char", + _process_new_longest, returns=int, + depends_on=[wikitext.revision.parent.longest_repeated_char, + wikitext.revision.longest_repeated_char]) +] diff --git a/editquality/feature_lists/zhwiki.py b/editquality/feature_lists/zhwiki.py index 5726b820..1455e913 100644 --- a/editquality/feature_lists/zhwiki.py +++ b/editquality/feature_lists/zhwiki.py @@ -29,7 +29,7 @@ ] damaging = wikipedia.page + \ - wikitext.parent + wikitext.diff + mediawiki.user_rights + \ + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + words_to_watch + \ enwiki.badwords + enwiki.informals + \ diff --git a/model_info/jawiki.damaging.md b/model_info/jawiki.damaging.md index 2c1f9f2a..47c89155 100644 --- a/model_info/jawiki.damaging.md +++ b/model_info/jawiki.damaging.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'init': None, 'multilabel': False, 'n_estimators': 300, 'warm_start': False, 'min_impurity_split': None, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'verbose': 0, 'tol': 0.0001, 'subsample': 1.0, 'n_iter_no_change': None, 'center': True, 'presort': 'deprecated', 'random_state': None, 'min_samples_leaf': 3, 'min_samples_split': 2, 'label_weights': OrderedDict([(True, 10)]), 'population_rates': None, 'criterion': 'friedman_mse', 'scale': True, 'labels': [True, False], 'max_depth': 1, 'loss': 'deviance', 'max_leaf_nodes': None, 'learning_rate': 0.1, 'validation_fraction': 0.1, 'max_features': 'log2'} + - params: {'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'min_impurity_decrease': 0.0, 'max_features': 'log2', 'loss': 'deviance', 'validation_fraction': 0.1, 'criterion': 'friedman_mse', 'labels': [True, False], 'warm_start': False, 'tol': 0.0001, 'subsample': 1.0, 'label_weights': OrderedDict([(True, 10)]), 'scale': True, 'presort': 'deprecated', 'max_leaf_nodes': None, 'random_state': None, 'min_samples_leaf': 3, 'min_impurity_split': None, 'population_rates': None, 'max_depth': 1, 'center': True, 'min_samples_split': 2, 'n_estimators': 300, 'learning_rate': 0.1, 'multilabel': False, 'n_iter_no_change': None, 'init': None, 'ccp_alpha': 0.0} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -9,8 +9,8 @@ Model Information: - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'May 12 2017 15:07:14') - - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' + - python_build: ('default', 'Nov 18 2020 21:09:16') + - python_compiler: 'GCC 6.3.0 20170516' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' @@ -21,61 +21,61 @@ Model Information: counts (n=27643): label n ~True ~False ------- ----- --- ------- -------- - True 298 --> 37 261 - False 27345 --> 195 27150 + True 298 --> 39 259 + False 27345 --> 222 27123 rates: True False ---------- ------ ------- sample 0.011 0.989 population 0.011 0.989 - match_rate (micro=0.981, macro=0.5): + match_rate (micro=0.98, macro=0.5): True False ------ ------- - 0.008 0.992 - filter_rate (micro=0.019, macro=0.5): + 0.009 0.991 + filter_rate (micro=0.02, macro=0.5): True False ------ ------- - 0.992 0.008 - recall (micro=0.984, macro=0.559): + 0.991 0.009 + recall (micro=0.983, macro=0.561): True False ------ ------- - 0.124 0.993 - !recall (micro=0.134, macro=0.559): + 0.131 0.992 + !recall (micro=0.14, macro=0.561): True False ------ ------- - 0.993 0.124 - precision (micro=0.982, macro=0.575): + 0.992 0.131 + precision (micro=0.982, macro=0.57): True False ------ ------- - 0.159 0.99 - !precision (micro=0.168, macro=0.575): + 0.149 0.991 + !precision (micro=0.158, macro=0.57): True False ------ ------- - 0.99 0.159 - f1 (micro=0.983, macro=0.566): + 0.991 0.149 + f1 (micro=0.982, macro=0.565): True False ------ ------- - 0.14 0.992 - !f1 (micro=0.149, macro=0.566): + 0.139 0.991 + !f1 (micro=0.149, macro=0.565): True False ------ ------- - 0.992 0.14 - accuracy (micro=0.984, macro=0.984): + 0.991 0.139 + accuracy (micro=0.983, macro=0.983): True False ------ ------- - 0.984 0.984 - fpr (micro=0.866, macro=0.441): + 0.983 0.983 + fpr (micro=0.86, macro=0.439): True False ------ ------- - 0.007 0.876 - roc_auc (micro=0.85, macro=0.85): + 0.008 0.869 + roc_auc (micro=0.851, macro=0.851): True False ------ ------- - 0.849 0.85 - pr_auc (micro=0.988, macro=0.539): + 0.851 0.851 + pr_auc (micro=0.988, macro=0.538): True False ------ ------- - 0.08 0.998 + 0.078 0.998 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} + - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/jawiki.goodfaith.md b/model_info/jawiki.goodfaith.md index 220fd045..654d9acb 100644 --- a/model_info/jawiki.goodfaith.md +++ b/model_info/jawiki.goodfaith.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_impurity_split': None, 'loss': 'deviance', 'presort': 'deprecated', 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'warm_start': False, 'init': None, 'learning_rate': 0.1, 'n_estimators': 300, 'tol': 0.0001, 'label_weights': OrderedDict([(False, 10)]), 'max_features': 'log2', 'n_iter_no_change': None, 'validation_fraction': 0.1, 'verbose': 0, 'max_leaf_nodes': None, 'random_state': None, 'min_samples_leaf': 7, 'min_samples_split': 2, 'ccp_alpha': 0.0, 'criterion': 'friedman_mse', 'scale': True, 'population_rates': None, 'multilabel': False, 'center': True, 'labels': [True, False], 'min_weight_fraction_leaf': 0.0, 'max_depth': 1} + - params: {'presort': 'deprecated', 'validation_fraction': 0.1, 'learning_rate': 0.1, 'tol': 0.0001, 'ccp_alpha': 0.0, 'multilabel': False, 'min_samples_leaf': 7, 'max_depth': 1, 'labels': [True, False], 'min_samples_split': 2, 'criterion': 'friedman_mse', 'verbose': 0, 'max_features': 'log2', 'center': True, 'population_rates': None, 'loss': 'deviance', 'min_impurity_split': None, 'init': None, 'random_state': None, 'warm_start': False, 'max_leaf_nodes': None, 'scale': True, 'subsample': 1.0, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'n_estimators': 300, 'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(False, 10)])} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -9,8 +9,8 @@ Model Information: - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'May 12 2017 15:07:14') - - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' + - python_build: ('default', 'Nov 18 2020 21:09:16') + - python_compiler: 'GCC 6.3.0 20170516' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' @@ -21,7 +21,7 @@ Model Information: counts (n=27643): label n ~True ~False ------- ----- --- ------- -------- - True 27516 --> 27482 34 + True 27516 --> 27472 44 False 127 --> 121 6 rates: True False @@ -39,11 +39,11 @@ Model Information: recall (micro=0.052, macro=0.523): True False ------ ------- - 0.999 0.047 + 0.998 0.047 !recall (micro=0.994, macro=0.523): True False ------ ------- - 0.047 0.999 + 0.047 0.998 precision (micro=0.995, macro=0.502): True False ------ ------- @@ -67,15 +67,15 @@ Model Information: fpr (micro=0.006, macro=0.477): True False ------ ------- - 0.953 0.001 - roc_auc (micro=0.816, macro=0.816): + 0.953 0.002 + roc_auc (micro=0.821, macro=0.822): True False ------ ------- - 0.817 0.816 - pr_auc (micro=0.984, macro=0.534): + 0.822 0.821 + pr_auc (micro=0.985, macro=0.541): True False ------ ------- - 0.079 0.989 + 0.093 0.989 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'type': 'object'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} diff --git a/model_info/kowiki.damaging.md b/model_info/kowiki.damaging.md index f63e1742..fb13a478 100644 --- a/model_info/kowiki.damaging.md +++ b/model_info/kowiki.damaging.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'validation_fraction': 0.1, 'presort': 'deprecated', 'max_features': 'log2', 'multilabel': False, 'criterion': 'friedman_mse', 'label_weights': OrderedDict([(True, 10)]), 'learning_rate': 0.01, 'n_iter_no_change': None, 'verbose': 0, 'max_leaf_nodes': None, 'n_estimators': 700, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'min_samples_split': 2, 'center': True, 'labels': [True, False], 'subsample': 1.0, 'ccp_alpha': 0.0, 'warm_start': False, 'tol': 0.0001, 'min_impurity_split': None, 'min_samples_leaf': 1, 'init': None, 'min_impurity_decrease': 0.0, 'population_rates': None, 'loss': 'deviance', 'scale': True, 'max_depth': 7} + - params: {'max_depth': 7, 'subsample': 1.0, 'verbose': 0, 'max_leaf_nodes': None, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'warm_start': False, 'min_samples_split': 2, 'population_rates': None, 'init': None, 'min_weight_fraction_leaf': 0.0, 'scale': True, 'loss': 'deviance', 'min_impurity_split': None, 'presort': 'deprecated', 'ccp_alpha': 0.0, 'multilabel': False, 'label_weights': OrderedDict([(True, 10)]), 'criterion': 'friedman_mse', 'labels': [True, False], 'max_features': 'log2', 'center': True, 'learning_rate': 0.01, 'tol': 0.0001, 'n_estimators': 700, 'random_state': None, 'validation_fraction': 0.1, 'min_samples_leaf': 1} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -9,8 +9,8 @@ Model Information: - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'May 12 2017 15:07:14') - - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' + - python_build: ('default', 'Nov 18 2020 21:09:16') + - python_compiler: 'GCC 6.3.0 20170516' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' @@ -21,61 +21,61 @@ Model Information: counts (n=19424): label n ~True ~False ------- ----- --- ------- -------- - True 923 --> 453 470 - False 18501 --> 1516 16985 + True 923 --> 493 430 + False 18501 --> 1653 16848 rates: True False ---------- ------ ------- sample 0.048 0.952 population 0.039 0.961 - match_rate (micro=0.871, macro=0.5): + match_rate (micro=0.863, macro=0.5): True False ------ ------- - 0.098 0.902 - filter_rate (micro=0.129, macro=0.5): + 0.107 0.893 + filter_rate (micro=0.137, macro=0.5): True False ------ ------- - 0.902 0.098 - recall (micro=0.902, macro=0.704): + 0.893 0.107 + recall (micro=0.896, macro=0.722): True False ------ ------- - 0.491 0.918 - !recall (micro=0.507, macro=0.704): + 0.534 0.911 + !recall (micro=0.549, macro=0.722): True False ------ ------- - 0.918 0.491 - precision (micro=0.948, macro=0.586): + 0.911 0.534 + precision (micro=0.949, macro=0.587): True False ------ ------- - 0.194 0.978 - !precision (micro=0.224, macro=0.586): + 0.194 0.98 + !precision (micro=0.224, macro=0.587): True False ------ ------- - 0.978 0.194 - f1 (micro=0.921, macro=0.613): + 0.98 0.194 + f1 (micro=0.918, macro=0.614): True False ------ ------- - 0.278 0.947 - !f1 (micro=0.304, macro=0.613): + 0.284 0.944 + !f1 (micro=0.31, macro=0.614): True False ------ ------- - 0.947 0.278 - accuracy (micro=0.902, macro=0.902): + 0.944 0.284 + accuracy (micro=0.896, macro=0.896): True False ------ ------- - 0.902 0.902 - fpr (micro=0.493, macro=0.296): + 0.896 0.896 + fpr (micro=0.451, macro=0.278): True False ------ ------- - 0.082 0.509 - roc_auc (micro=0.881, macro=0.882): + 0.089 0.466 + roc_auc (micro=0.883, macro=0.884): True False ------ ------- - 0.882 0.881 - pr_auc (micro=0.968, macro=0.65): + 0.885 0.883 + pr_auc (micro=0.968, macro=0.653): True False ------ ------- - 0.305 0.995 + 0.311 0.995 - - score_schema: {'type': 'object', 'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/kowiki.goodfaith.md b/model_info/kowiki.goodfaith.md index 4fba5615..7b6d2e9d 100644 --- a/model_info/kowiki.goodfaith.md +++ b/model_info/kowiki.goodfaith.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'center': True, 'min_samples_leaf': 1, 'validation_fraction': 0.1, 'min_impurity_split': None, 'labels': [True, False], 'max_leaf_nodes': None, 'subsample': 1.0, 'verbose': 0, 'min_impurity_decrease': 0.0, 'multilabel': False, 'warm_start': False, 'presort': 'deprecated', 'population_rates': None, 'loss': 'deviance', 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'min_weight_fraction_leaf': 0.0, 'random_state': None, 'scale': True, 'tol': 0.0001, 'max_depth': 7, 'criterion': 'friedman_mse', 'min_samples_split': 2, 'init': None, 'label_weights': OrderedDict([(False, 10)]), 'max_features': 'log2', 'n_estimators': 700, 'learning_rate': 0.01} + - params: {'ccp_alpha': 0.0, 'min_impurity_split': None, 'subsample': 1.0, 'max_depth': 7, 'max_leaf_nodes': None, 'label_weights': OrderedDict([(False, 10)]), 'presort': 'deprecated', 'min_impurity_decrease': 0.0, 'min_samples_split': 2, 'n_estimators': 700, 'max_features': 'log2', 'verbose': 0, 'center': True, 'warm_start': False, 'scale': True, 'loss': 'deviance', 'validation_fraction': 0.1, 'n_iter_no_change': None, 'multilabel': False, 'population_rates': None, 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.01, 'tol': 0.0001, 'random_state': None, 'criterion': 'friedman_mse', 'min_samples_leaf': 1, 'init': None, 'labels': [True, False]} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -9,8 +9,8 @@ Model Information: - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'May 12 2017 15:07:14') - - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' + - python_build: ('default', 'Nov 18 2020 21:09:16') + - python_compiler: 'GCC 6.3.0 20170516' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' @@ -21,61 +21,61 @@ Model Information: counts (n=19424): label n ~True ~False ------- ----- --- ------- -------- - True 18798 --> 18447 351 - False 626 --> 429 197 + True 18798 --> 18355 443 + False 626 --> 413 213 rates: True False ---------- ------ ------- sample 0.968 0.032 population 0.981 0.019 - match_rate (micro=0.957, macro=0.5): + match_rate (micro=0.952, macro=0.5): True False ------ ------- - 0.976 0.024 - filter_rate (micro=0.043, macro=0.5): + 0.97 0.03 + filter_rate (micro=0.048, macro=0.5): True False ------ ------- - 0.024 0.976 - recall (micro=0.969, macro=0.648): + 0.03 0.97 + recall (micro=0.964, macro=0.658): True False ------ ------- - 0.981 0.315 - !recall (micro=0.328, macro=0.648): + 0.976 0.34 + !recall (micro=0.352, macro=0.658): True False ------ ------- - 0.315 0.981 - precision (micro=0.972, macro=0.617): + 0.34 0.976 + precision (micro=0.972, macro=0.604): True False ------ ------- - 0.986 0.248 - !precision (micro=0.263, macro=0.617): + 0.987 0.221 + !precision (micro=0.235, macro=0.604): True False ------ ------- - 0.248 0.986 - f1 (micro=0.97, macro=0.631): + 0.221 0.987 + f1 (micro=0.968, macro=0.625): True False ------ ------- - 0.984 0.278 - !f1 (micro=0.291, macro=0.631): + 0.982 0.268 + !f1 (micro=0.281, macro=0.625): True False ------ ------- - 0.278 0.984 - accuracy (micro=0.969, macro=0.969): + 0.268 0.982 + accuracy (micro=0.964, macro=0.964): True False ------ ------- - 0.969 0.969 - fpr (micro=0.672, macro=0.352): + 0.964 0.964 + fpr (micro=0.648, macro=0.342): True False ------ ------- - 0.685 0.019 - roc_auc (micro=0.893, macro=0.893): + 0.66 0.024 + roc_auc (micro=0.892, macro=0.893): True False ------ ------- - 0.893 0.893 - pr_auc (micro=0.983, macro=0.62): + 0.892 0.893 + pr_auc (micro=0.983, macro=0.622): True False ------ ------- - 0.998 0.242 + 0.998 0.247 - - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object'} diff --git a/model_info/zhwiki.damaging.md b/model_info/zhwiki.damaging.md index b3c81d59..b5d730cf 100644 --- a/model_info/zhwiki.damaging.md +++ b/model_info/zhwiki.damaging.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'center': True, 'criterion': 'friedman_mse', 'warm_start': False, 'min_samples_split': 2, 'label_weights': OrderedDict([(True, 10)]), 'learning_rate': 0.01, 'multilabel': False, 'max_features': 'log2', 'random_state': None, 'verbose': 0, 'subsample': 1.0, 'loss': 'deviance', 'presort': 'deprecated', 'min_impurity_split': None, 'max_depth': 3, 'min_samples_leaf': 7, 'init': None, 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'validation_fraction': 0.1, 'min_weight_fraction_leaf': 0.0, 'tol': 0.0001, 'min_impurity_decrease': 0.0, 'max_leaf_nodes': None, 'n_estimators': 700, 'labels': [True, False], 'population_rates': None, 'scale': True} + - params: {'subsample': 1.0, 'criterion': 'friedman_mse', 'random_state': None, 'population_rates': None, 'min_impurity_split': None, 'center': True, 'ccp_alpha': 0.0, 'labels': [True, False], 'tol': 0.0001, 'n_estimators': 700, 'init': None, 'max_leaf_nodes': None, 'presort': 'deprecated', 'scale': True, 'max_depth': 3, 'label_weights': OrderedDict([(True, 10)]), 'validation_fraction': 0.1, 'verbose': 0, 'warm_start': False, 'n_iter_no_change': None, 'learning_rate': 0.01, 'loss': 'deviance', 'max_features': 'log2', 'min_samples_leaf': 7, 'multilabel': False, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'min_samples_split': 2} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -9,8 +9,8 @@ Model Information: - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'May 12 2017 15:07:14') - - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' + - python_build: ('default', 'Nov 18 2020 21:09:16') + - python_compiler: 'GCC 6.3.0 20170516' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' @@ -21,61 +21,61 @@ Model Information: counts (n=68760): label n ~True ~False ------- ----- --- ------- -------- - True 352 --> 133 219 - False 68408 --> 700 67708 + True 352 --> 150 202 + False 68408 --> 827 67581 rates: True False ---------- ------ ------- sample 0.005 0.995 population 0.04 0.96 - match_rate (micro=0.936, macro=0.5): + match_rate (micro=0.933, macro=0.5): True False ------ ------- - 0.025 0.975 - filter_rate (micro=0.064, macro=0.5): + 0.029 0.971 + filter_rate (micro=0.067, macro=0.5): True False ------ ------- - 0.975 0.025 - recall (micro=0.965, macro=0.684): + 0.971 0.029 + recall (micro=0.965, macro=0.707): True False ------ ------- - 0.378 0.99 - !recall (micro=0.403, macro=0.684): + 0.426 0.988 + !recall (micro=0.449, macro=0.707): True False ------ ------- - 0.99 0.378 - precision (micro=0.959, macro=0.792): + 0.988 0.426 + precision (micro=0.961, macro=0.787): True False ------ ------- - 0.609 0.974 - !precision (micro=0.624, macro=0.792): + 0.598 0.976 + !precision (micro=0.613, macro=0.787): True False ------ ------- - 0.974 0.609 - f1 (micro=0.961, macro=0.724): + 0.976 0.598 + f1 (micro=0.962, macro=0.74): True False ------ ------- - 0.466 0.982 - !f1 (micro=0.487, macro=0.724): + 0.498 0.982 + !f1 (micro=0.517, macro=0.74): True False ------ ------- - 0.982 0.466 + 0.982 0.498 accuracy (micro=0.965, macro=0.965): True False ------ ------- 0.965 0.965 - fpr (micro=0.597, macro=0.316): + fpr (micro=0.551, macro=0.293): True False ------ ------- - 0.01 0.622 - roc_auc (micro=0.879, macro=0.878): + 0.012 0.574 + roc_auc (micro=0.88, macro=0.879): True False ------ ------- - 0.877 0.879 - pr_auc (micro=0.97, macro=0.723): + 0.878 0.88 + pr_auc (micro=0.97, macro=0.722): True False ------ ------- - 0.454 0.992 + 0.452 0.992 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}} + - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/zhwiki.goodfaith.md b/model_info/zhwiki.goodfaith.md index 31238807..424c8ccf 100644 --- a/model_info/zhwiki.goodfaith.md +++ b/model_info/zhwiki.goodfaith.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'population_rates': None, 'tol': 0.0001, 'warm_start': False, 'labels': [True, False], 'min_samples_leaf': 5, 'min_impurity_split': None, 'min_samples_split': 2, 'subsample': 1.0, 'presort': 'deprecated', 'max_features': 'log2', 'max_depth': 3, 'max_leaf_nodes': None, 'min_weight_fraction_leaf': 0.0, 'center': True, 'multilabel': False, 'ccp_alpha': 0.0, 'init': None, 'validation_fraction': 0.1, 'n_iter_no_change': None, 'label_weights': OrderedDict([(False, 10)]), 'n_estimators': 500, 'min_impurity_decrease': 0.0, 'learning_rate': 0.01, 'loss': 'deviance', 'verbose': 0, 'random_state': None, 'criterion': 'friedman_mse', 'scale': True} + - params: {'max_features': 'log2', 'min_impurity_decrease': 0.0, 'random_state': None, 'population_rates': None, 'min_samples_leaf': 5, 'multilabel': False, 'validation_fraction': 0.1, 'ccp_alpha': 0.0, 'min_samples_split': 2, 'loss': 'deviance', 'learning_rate': 0.01, 'labels': [True, False], 'verbose': 0, 'tol': 0.0001, 'max_depth': 3, 'n_estimators': 500, 'criterion': 'friedman_mse', 'scale': True, 'min_weight_fraction_leaf': 0.0, 'subsample': 1.0, 'min_impurity_split': None, 'presort': 'deprecated', 'warm_start': False, 'label_weights': OrderedDict([(False, 10)]), 'center': True, 'max_leaf_nodes': None, 'n_iter_no_change': None, 'init': None} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -9,8 +9,8 @@ Model Information: - version: '#1 SMP Debian 4.9.144-3.1 (2019-02-19)' - system: 'Linux' - processor: '' - - python_build: ('default', 'May 12 2017 15:07:14') - - python_compiler: 'GCC 4.8.2 20140120 (Red Hat 4.8.2-15)' + - python_build: ('default', 'Nov 18 2020 21:09:16') + - python_compiler: 'GCC 6.3.0 20170516' - python_branch: '' - python_implementation: 'CPython' - python_revision: '' @@ -21,61 +21,61 @@ Model Information: counts (n=68760): label n ~True ~False ------- ----- --- ------- -------- - True 68497 --> 68171 326 - False 263 --> 206 57 + True 68497 --> 68086 411 + False 263 --> 189 74 rates: True False ---------- ------ ------- sample 0.996 0.004 population 0.968 0.032 - match_rate (micro=0.957, macro=0.5): + match_rate (micro=0.954, macro=0.5): True False ------ ------- - 0.988 0.012 - filter_rate (micro=0.043, macro=0.5): + 0.985 0.015 + filter_rate (micro=0.046, macro=0.5): True False ------ ------- - 0.012 0.988 - recall (micro=0.97, macro=0.606): + 0.015 0.985 + recall (micro=0.971, macro=0.638): True False ------ ------- - 0.995 0.217 - !recall (micro=0.241, macro=0.606): + 0.994 0.281 + !recall (micro=0.304, macro=0.638): True False ------ ------- - 0.217 0.995 - precision (micro=0.963, macro=0.787): + 0.281 0.994 + precision (micro=0.965, macro=0.792): True False ------ ------- - 0.975 0.599 - !precision (micro=0.611, macro=0.787): + 0.977 0.606 + !precision (micro=0.618, macro=0.792): True False ------ ------- - 0.599 0.975 - f1 (micro=0.964, macro=0.652): + 0.606 0.977 + f1 (micro=0.966, macro=0.685): True False ------ ------- - 0.985 0.318 - !f1 (micro=0.34, macro=0.652): + 0.985 0.384 + !f1 (micro=0.403, macro=0.685): True False ------ ------- - 0.318 0.985 - accuracy (micro=0.97, macro=0.97): + 0.384 0.985 + accuracy (micro=0.971, macro=0.971): True False ------ ------- - 0.97 0.97 - fpr (micro=0.759, macro=0.394): + 0.971 0.971 + fpr (micro=0.696, macro=0.362): True False ------ ------- - 0.783 0.005 - roc_auc (micro=0.9, macro=0.9): + 0.719 0.006 + roc_auc (micro=0.903, macro=0.902): True False ------ ------- - 0.9 0.9 - pr_auc (micro=0.978, macro=0.713): + 0.903 0.901 + pr_auc (micro=0.978, macro=0.719): True False ------ ------- - 0.996 0.431 + 0.996 0.442 - - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/models/jawiki.damaging.gradient_boosting.model b/models/jawiki.damaging.gradient_boosting.model index 765d5ae6..f82bf477 100644 --- a/models/jawiki.damaging.gradient_boosting.model +++ b/models/jawiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:2c6add636d2abf6ee61229123026a7fdaafae7c380610ba0156ceddf5677fd24 -size 480754 +oid sha256:6d8dd38dd004517d4b20eff181561a264643f80fb224778afbf3365a7d9e096d +size 442193 diff --git a/models/jawiki.goodfaith.gradient_boosting.model b/models/jawiki.goodfaith.gradient_boosting.model index 300c3a22..59352f64 100644 --- a/models/jawiki.goodfaith.gradient_boosting.model +++ b/models/jawiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:65f7178cabab2986ab92a64984bc88f02ee66d485b82e11de4e88724be0b1810 -size 380194 +oid sha256:d77a6650126e4b7e08ceaddba5861db23aafad68302d30bdb8386c281c17fbc0 +size 388649 diff --git a/models/kowiki.damaging.gradient_boosting.model b/models/kowiki.damaging.gradient_boosting.model index 4b27f543..3f273dd8 100644 --- a/models/kowiki.damaging.gradient_boosting.model +++ b/models/kowiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:0d3ea36aa123e621e81c312f6bddbcda2b963e5ec44cb08abbcd2b0eaeda4321 -size 10076154 +oid sha256:0ec901899d208b9016e50b57d2f7f30bb704c6fd38e744ca99d576199c3dc918 +size 9828657 diff --git a/models/kowiki.goodfaith.gradient_boosting.model b/models/kowiki.goodfaith.gradient_boosting.model index 387580d7..592545a8 100644 --- a/models/kowiki.goodfaith.gradient_boosting.model +++ b/models/kowiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b5a1152c78e8b581706957ad8ba01b152019209acbf7153f113191027fb27d33 -size 9948731 +oid sha256:52a00aca860339163bb98b010c237241c35a2fc03f89ff182887a25428a34f6a +size 9828662 diff --git a/models/zhwiki.damaging.gradient_boosting.model b/models/zhwiki.damaging.gradient_boosting.model index 62c236e0..a5f3573d 100644 --- a/models/zhwiki.damaging.gradient_boosting.model +++ b/models/zhwiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c894cd76fefd0891d52a2b6ceae73b4a101cf58256257c7eccbd4b15a84a6fef -size 1287651 +oid sha256:9c7a4029fa77b08580a12b1b1529979f24291c3397515b2763f44c605b57f18a +size 1194657 diff --git a/models/zhwiki.goodfaith.gradient_boosting.model b/models/zhwiki.goodfaith.gradient_boosting.model index ebe13f98..dfb2031c 100644 --- a/models/zhwiki.goodfaith.gradient_boosting.model +++ b/models/zhwiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b201f6d8fe485b9ae079601a2e8bb925fd34b65db020f08de59f0683fc2ab9f2 -size 937427 +oid sha256:037c0007ec5f3d73249c90b118c4ccd1bdda3d54a7eb5669687f0cf607a386d5 +size 946057 diff --git a/tuning_reports/arwiki.damaging.md b/tuning_reports/arwiki.damaging.md index 57d04246..fe43c4de 100644 --- a/tuning_reports/arwiki.damaging.md +++ b/tuning_reports/arwiki.damaging.md @@ -1,185 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.arwiki.damaging -- Date: 2018-03-26T21:32:23.666848 -- Observations: 18644 +- Date: 2021-01-27T23:42:37.132141 +- Observations: 18214 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9414 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="entropy" | -| RandomForestClassifier | 0.9412 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="gini" | -| RandomForestClassifier | 0.9409 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="entropy" | -| RandomForestClassifier | 0.9407 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="gini" | -| RandomForestClassifier | 0.9407 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="entropy" | -| RandomForestClassifier | 0.9402 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="entropy" | -| RandomForestClassifier | 0.94 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="gini" | -| RandomForestClassifier | 0.9399 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="entropy" | -| RandomForestClassifier | 0.9397 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="gini" | -| RandomForestClassifier | 0.9397 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="gini" | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9444 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| GradientBoosting | 0.9443 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| GradientBoosting | 0.9439 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| GradientBoosting | 0.9436 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| GradientBoosting | 0.9435 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| GradientBoosting | 0.9435 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| GradientBoosting | 0.9433 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| GradientBoosting | 0.9432 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| RandomForestClassifier | 0.943 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=640 | +| GradientBoosting | 0.943 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=500 | # Models ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8831 | | +| 0.9077 | | -## GaussianNB -| roc_auc.labels.true | params | -|| +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.943 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=640 | +| 0.943 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=320 | +| 0.9428 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=320 | +| 0.9427 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=160 | +| 0.942 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=640 | +| 0.9418 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=640 | +| 0.9417 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=640 | +| 0.9412 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=160 | +| 0.9412 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=160 | +| 0.9412 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=320 | +| 0.9411 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=640 | +| 0.9411 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=320 | +| 0.9411 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=320 | +| 0.941 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=40 | +| 0.9408 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=160 | +| 0.9408 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=640 | +| 0.9405 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=640 | +| 0.9402 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=80 | +| 0.9402 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=160 | +| 0.9401 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=640 | +| 0.9394 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=20 | +| 0.9393 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=80 | +| 0.9393 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=80 | +| 0.939 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=320 | +| 0.9388 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=320 | +| 0.9386 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=320 | +| 0.9384 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=160 | +| 0.9375 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=80 | +| 0.9372 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=320 | +| 0.9369 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=160 | +| 0.9369 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=40 | +| 0.9365 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=40 | +| 0.9361 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=80 | +| 0.9361 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=40 | +| 0.936 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=40 | +| 0.936 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=80 | +| 0.9359 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=640 | +| 0.9357 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=80 | +| 0.9355 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=640 | +| 0.9354 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=160 | +| 0.9352 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=20 | +| 0.9348 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=160 | +| 0.9332 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=160 | +| 0.933 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=320 | +| 0.9326 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=20 | +| 0.932 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=10 | +| 0.932 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=40 | +| 0.9318 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=80 | +| 0.9316 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=40 | +| 0.9315 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=20 | +| 0.9314 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=40 | +| 0.9299 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=20 | +| 0.9297 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=20 | +| 0.9283 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=10 | +| 0.926 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=80 | +| 0.9236 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=10 | +| 0.9217 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=10 | +| 0.921 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=80 | +| 0.9205 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=20 | +| 0.9201 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=40 | +| 0.9173 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=20 | +| 0.9145 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=10 | +| 0.9089 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=40 | +| 0.9073 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=10 | +| 0.898 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=10 | +| 0.8965 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=10 | +| 0.8813 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=20 | +| 0.8737 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=20 | +| 0.8201 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=10 | +| 0.8119 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=10 | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9444 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.9443 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.9439 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.9436 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.9435 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.9435 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.9433 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.9432 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.943 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.943 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.9428 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.9428 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.9427 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.9427 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.9425 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.9425 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.9424 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.9424 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.9422 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.9422 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.9421 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.942 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.9419 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.9419 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.9418 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.9417 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.9416 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.9415 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.9415 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.9415 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.9414 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.9413 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=100 | +| 0.9413 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.9413 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.9411 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.941 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.941 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.941 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=100 | +| 0.941 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.9408 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.9406 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.9405 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.9404 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.9404 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.9404 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.9403 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.9401 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.94 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.94 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.94 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.94 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.9399 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| 0.9399 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.9398 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.9398 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.9398 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.9397 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1, n_estimators=700 | +| 0.9394 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9394 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.9394 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, 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learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=500 | +| 0.9387 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.9387 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.9386 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.9386 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1, n_estimators=100 | +| 0.9385 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.9385 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.9384 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=700 | +| 0.9383 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.9383 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.9383 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.9382 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.9381 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.9381 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.938 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.938 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.9379 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.9379 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.9378 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.9377 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.9377 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9377 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=500 | +| 0.9376 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.9373 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9372 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.9372 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.9369 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.9368 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1, n_estimators=500 | +| 0.9367 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, n_estimators=700 | +| 0.9358 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1, n_estimators=500 | +| 0.9358 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.9351 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.9349 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=100 | +| 0.9348 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.9348 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.9345 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.9345 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.9338 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.9333 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.9331 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.933 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.9329 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.9329 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.9328 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.9327 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.9326 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.9325 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.9323 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.9322 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.9319 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.9317 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1, n_estimators=500 | +| 0.9317 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.9315 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=500 | +| 0.9314 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.9307 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9304 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.9303 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.9301 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.93 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=700 | +| 0.9297 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.9296 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9295 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.9294 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.929 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.9288 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9287 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=500 | +| 0.9286 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.9285 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.9284 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.9282 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.9282 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1, n_estimators=700 | +| 0.928 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=700 | +| 0.9279 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.9275 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.9275 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9271 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.9271 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1, n_estimators=100 | +| 0.9264 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.9262 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.9258 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.9257 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9256 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.9253 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=100 | +| 0.925 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.9249 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.9246 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.9245 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.9243 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.923 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.923 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.9223 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.9221 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1, n_estimators=100 | +| 0.9219 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.9214 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.9214 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.9208 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.9205 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.92 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.9198 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.9188 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.9169 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.9166 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=100 | +| 0.9162 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.9156 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.9153 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=500 | +| 0.9153 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.9142 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=700 | +| 0.9139 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.9132 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=500 | +| 0.9131 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.9126 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.9115 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=700 | +| 0.9112 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.911 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.911 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.911 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.9106 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=500 | +| 0.9096 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| 0.9096 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=700 | +| 0.9086 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.9086 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=100 | +| 0.9084 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.908 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.9078 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.9073 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.9068 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.9064 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.9055 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.9045 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.9031 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.9004 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.8992 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.8979 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.8978 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.8948 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=100 | +| 0.8934 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.8888 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.8844 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.8837 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.8811 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.8802 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.8782 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.8713 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.8698 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.8622 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.8602 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.8576 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.8561 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.8557 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.8526 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.8492 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.8484 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=100 | +| 0.8473 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.8457 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.8447 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.8443 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=500 | +| 0.8438 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.8393 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.8386 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.8378 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.8375 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.8347 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.8329 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.8322 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.8321 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.8315 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.8301 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.8297 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.8292 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.8254 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.8249 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.8239 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.8229 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.8219 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.8214 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.8189 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.8171 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.816 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.8158 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=500 | +| 0.8141 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.814 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.8128 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.8127 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.8105 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.8105 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.8084 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.8081 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| 0.8076 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.8065 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.8055 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.8049 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.8038 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=100 | +| 0.8038 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.8036 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.8005 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.7987 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.7986 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.7977 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.7976 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.7975 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.7971 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.796 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.7943 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.7936 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.7928 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.7922 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.7866 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.7834 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.7805 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.7777 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.7764 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.7747 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.7719 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.7688 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.7662 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.7651 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.7615 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.7601 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.7596 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.7585 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.7578 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.7552 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.7549 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.7545 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.7542 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.7533 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.7474 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.7457 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.7415 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.7373 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| 0.7348 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.7336 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.7265 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.7219 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.7202 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.719 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.716 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.7143 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.7089 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.707 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.6997 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.6961 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.6938 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.6887 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.682 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.6802 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.6791 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.6719 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.6688 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.6636 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.6449 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=500 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9155 | penalty="l1", C=0.1 | -| 0.8822 | penalty="l1", C=1 | -| 0.8744 | penalty="l1", C=10 | -| 0.8475 | penalty="l2", C=10 | -| 0.8274 | penalty="l2", C=1 | -| 0.8273 | penalty="l2", C=0.1 | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9334 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2" | -| 0.9333 | learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2" | -| 0.9325 | learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2" | -| 0.9324 | learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2" | -| 0.9318 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2" | -| 0.931 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2" | -| 0.9303 | learning_rate=0.01, max_depth=1, n_estimators=700, max_features="log2" | -| 0.9298 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2" | -| 0.9297 | learning_rate=0.01, max_depth=1, n_estimators=500, max_features="log2" | -| 0.9288 | learning_rate=0.1, max_depth=1, n_estimators=100, max_features="log2" | -| 0.9281 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2" | -| 0.9273 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2" | -| 0.9254 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2" | -| 0.9247 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2" | -| 0.9242 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2" | -| 0.9236 | learning_rate=0.01, max_depth=1, n_estimators=300, max_features="log2" | -| 0.9232 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2" | -| 0.9227 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2" | -| 0.9219 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2" | -| 0.9218 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2" | -| 0.9206 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2" | -| 0.9197 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2" | -| 0.9193 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2" | -| 0.9187 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2" | -| 0.9178 | learning_rate=0.01, max_depth=1, n_estimators=100, max_features="log2" | -| 0.9178 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2" | -| 0.915 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2" | -| 0.9141 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2" | -| 0.9129 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2" | -| 0.9127 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2" | -| 0.9111 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2" | -| 0.9032 | learning_rate=1, max_depth=1, n_estimators=100, max_features="log2" | -| 0.901 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2" | -| 0.9002 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2" | -| 0.8976 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2" | -| 0.8901 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2" | -| 0.8842 | learning_rate=1, max_depth=1, n_estimators=700, max_features="log2" | -| 0.8813 | learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2" | -| 0.8754 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2" | -| 0.8737 | learning_rate=0.5, max_depth=3, n_estimators=300, max_features="log2" | -| 0.861 | learning_rate=1, max_depth=3, n_estimators=100, max_features="log2" | -| 0.8518 | learning_rate=0.5, max_depth=3, n_estimators=500, max_features="log2" | -| 0.8464 | learning_rate=0.5, max_depth=5, n_estimators=100, max_features="log2" | -| 0.8166 | learning_rate=0.5, max_depth=3, n_estimators=700, max_features="log2" | -| 0.8137 | learning_rate=0.1, max_depth=7, n_estimators=500, max_features="log2" | -| 0.8126 | learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2" | -| 0.783 | learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2" | -| 0.7794 | learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2" | -| 0.776 | learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2" | -| 0.7683 | learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2" | -| 0.7676 | learning_rate=1, max_depth=3, n_estimators=300, max_features="log2" | -| 0.7617 | learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2" | -| 0.7579 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2" | -| 0.7523 | learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2" | -| 0.75 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2" | -| 0.7424 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2" | -| 0.7419 | learning_rate=1, max_depth=3, n_estimators=500, max_features="log2" | -| 0.7406 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2" | -| 0.7294 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2" | -| 0.7222 | learning_rate=1, max_depth=5, n_estimators=100, max_features="log2" | -| 0.7213 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2" | -| 0.7011 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2" | -| 0.6975 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2" | -| 0.6523 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2" | +| 0.9032 | C=10, penalty="l2" | +| 0.9024 | C=1, penalty="l2" | +| 0.9021 | C=0.1, penalty="l2" | -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9414 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="entropy" | -| 0.9412 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="gini" | -| 0.9409 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="entropy" | -| 0.9407 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="gini" | -| 0.9407 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="entropy" | -| 0.9402 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="entropy" | -| 0.94 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="gini" | -| 0.9399 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="entropy" | -| 0.9397 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="gini" | -| 0.9397 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="gini" | -| 0.9396 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="gini" | -| 0.9395 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="gini" | -| 0.9394 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="gini" | -| 0.9393 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="gini" | -| 0.9392 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="gini" | -| 0.9391 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="entropy" | -| 0.9389 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="entropy" | -| 0.9381 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="entropy" | -| 0.938 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="gini" | -| 0.9379 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="gini" | -| 0.9377 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="entropy" | -| 0.9375 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="gini" | -| 0.9374 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="gini" | -| 0.9374 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="gini" | -| 0.9371 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="entropy" | -| 0.9371 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="entropy" | -| 0.9369 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="entropy" | -| 0.9369 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="entropy" | -| 0.9367 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="entropy" | -| 0.9362 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="gini" | -| 0.936 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="entropy" | -| 0.9358 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="entropy" | -| 0.9356 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="gini" | -| 0.9355 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="gini" | -| 0.9352 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="gini" | -| 0.9351 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="entropy" | -| 0.9344 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="entropy" | -| 0.9343 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="entropy" | -| 0.9337 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="gini" | -| 0.9336 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="gini" | -| 0.9331 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="gini" | -| 0.933 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="entropy" | -| 0.9327 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="entropy" | -| 0.9309 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="gini" | -| 0.9304 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="entropy" | -| 0.9301 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="entropy" | -| 0.9296 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="entropy" | -| 0.9283 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="gini" | -| 0.9275 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="entropy" | -| 0.9269 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="entropy" | -| 0.9264 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="entropy" | -| 0.9255 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="gini" | -| 0.9222 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="gini" | -| 0.9211 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="gini" | -| 0.9189 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="gini" | -| 0.9189 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="entropy" | -| 0.9158 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="gini" | -| 0.9118 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="gini" | -| 0.9111 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="gini" | -| 0.9097 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="gini" | -| 0.9094 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="entropy" | -| 0.9068 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="entropy" | -| 0.9059 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="entropy" | -| 0.9007 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="entropy" | -| 0.8987 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="gini" | -| 0.897 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="entropy" | -| 0.8783 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="gini" | -| 0.866 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="entropy" | -| 0.8195 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="gini" | -| 0.8096 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="entropy" | +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9158 | | diff --git a/tuning_reports/arwiki.goodfaith.md b/tuning_reports/arwiki.goodfaith.md index 38fb056b..eadb3a62 100644 --- a/tuning_reports/arwiki.goodfaith.md +++ b/tuning_reports/arwiki.goodfaith.md @@ -1,185 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.arwiki.goodfaith -- Date: 2018-03-26T22:26:34.627434 -- Observations: 18644 +- Date: 2021-01-28T00:06:30.492588 +- Observations: 18214 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GradientBoosting | 0.9822 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=7 | -| GradientBoosting | 0.9822 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9815 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=7 | -| GradientBoosting | 0.9811 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9804 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9804 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9802 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9801 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=7 | -| GradientBoosting | 0.98 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9795 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=7 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9459 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| GradientBoosting | 0.9437 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| GradientBoosting | 0.9434 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| GradientBoosting | 0.9431 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9431 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| GradientBoosting | 0.943 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| GradientBoosting | 0.9429 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| GradientBoosting | 0.9426 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| GradientBoosting | 0.9426 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| GradientBoosting | 0.9425 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | # Models ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9696 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9539 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9536 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9432 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9404 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.935 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9331 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9292 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9271 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9257 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9247 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9229 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9228 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9226 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9223 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9223 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9221 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9221 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9217 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9208 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9206 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9201 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9199 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9194 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9194 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9191 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9186 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9183 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9179 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9177 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9174 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9171 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9169 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9168 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9164 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9158 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9149 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9149 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9146 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9138 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9138 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9137 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9137 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9131 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9131 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9127 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9122 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9119 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9117 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.911 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9101 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9101 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9098 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9098 | n_estimators=640, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9082 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9082 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.908 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9078 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.907 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9053 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9033 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9031 | n_estimators=640, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9025 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.902 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9018 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9015 | n_estimators=640, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9014 | n_estimators=640, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9003 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8994 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8959 | n_estimators=640, min_samples_leaf=1, criterion="gini", max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9322 | criterion="entropy", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.9311 | criterion="entropy", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.9292 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.9281 | criterion="entropy", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.9279 | criterion="entropy", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.9275 | criterion="entropy", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.9272 | criterion="entropy", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.9248 | criterion="gini", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.9234 | criterion="entropy", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.923 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.9226 | criterion="entropy", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.9225 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.9224 | criterion="gini", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.9215 | criterion="gini", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.9209 | criterion="gini", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.9202 | criterion="gini", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.9199 | criterion="gini", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.9198 | criterion="gini", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.9195 | criterion="entropy", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.9174 | criterion="entropy", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.9164 | criterion="entropy", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.9161 | criterion="entropy", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.9154 | criterion="gini", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.9143 | criterion="entropy", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.9136 | criterion="entropy", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.913 | criterion="gini", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.9127 | criterion="gini", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.9118 | criterion="entropy", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.9117 | criterion="entropy", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.9111 | criterion="gini", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.9092 | criterion="gini", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.907 | criterion="gini", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.9069 | criterion="entropy", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.9065 | criterion="entropy", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.9062 | criterion="entropy", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.9052 | criterion="gini", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.9047 | criterion="gini", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.9044 | criterion="entropy", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.9038 | criterion="gini", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.9032 | criterion="gini", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.903 | criterion="gini", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.9024 | criterion="gini", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.9015 | criterion="gini", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.8955 | criterion="entropy", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.8937 | criterion="gini", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.8935 | criterion="entropy", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.8921 | criterion="entropy", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.8905 | criterion="entropy", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.8891 | criterion="gini", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.8847 | criterion="gini", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.8834 | criterion="gini", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.8784 | criterion="entropy", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.8762 | criterion="gini", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.8729 | criterion="gini", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.8652 | criterion="gini", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.8648 | criterion="entropy", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.8627 | criterion="entropy", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.8609 | criterion="gini", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.8523 | criterion="gini", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.8463 | criterion="gini", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.8365 | criterion="entropy", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.8312 | criterion="gini", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.8306 | criterion="gini", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.8168 | criterion="gini", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.7984 | criterion="entropy", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.7686 | criterion="entropy", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.762 | criterion="entropy", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.7156 | criterion="gini", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.6757 | criterion="entropy", n_estimators=10, min_samples_leaf=1, max_features="log2" | +| 0.6693 | criterion="gini", n_estimators=10, min_samples_leaf=1, max_features="log2" | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.89 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9077 | | + +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8918 | penalty="l2", C=10 | +| 0.8897 | penalty="l2", C=0.1 | +| 0.8819 | penalty="l2", C=1 | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9822 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=7 | -| 0.9822 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9815 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.9811 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9804 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9804 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9802 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9801 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.98 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9795 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=7 | -| 0.979 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=7 | -| 0.9789 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=7 | -| 0.9786 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=7 | -| 0.9769 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9765 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9716 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9688 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9624 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9567 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9563 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9423 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9406 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.9403 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9308 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9258 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9241 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9177 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=7 | -| 0.9141 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9131 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9124 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9117 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9116 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9109 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=7 | -| 0.9106 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9098 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9096 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=1 | -| 0.909 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9072 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9069 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=7 | -| 0.9061 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9055 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9051 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9049 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9044 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=7 | -| 0.904 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9038 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9036 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9033 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9019 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9017 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9016 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9014 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=5 | -| 0.8946 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=1 | -| 0.8939 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.8858 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=1 | -| 0.8824 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.8751 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8745 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.8664 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.8517 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.827 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.7991 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=7 | -| 0.7358 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.7282 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=3 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9459 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9437 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9434 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9431 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9431 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.943 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9429 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9426 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9426 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9425 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9425 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9425 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9425 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9423 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9421 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9418 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9418 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9415 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9414 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9412 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9411 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9411 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9409 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9408 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9402 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9401 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9397 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9396 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9395 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9395 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.939 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9389 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9387 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9386 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9383 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.938 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9376 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9374 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9373 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.937 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.937 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9368 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9367 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9367 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9365 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9364 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9364 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9362 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9362 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.936 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9359 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9358 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9356 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9353 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9352 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9351 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9346 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9344 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9343 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9343 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9342 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9342 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9342 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.934 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9335 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9332 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9331 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9328 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9328 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9326 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9324 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9322 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.932 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.932 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.932 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9318 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9317 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9317 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9317 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9316 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9316 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9314 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9313 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9311 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.931 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9308 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.9308 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9307 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9305 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9303 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9302 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9302 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9302 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9299 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9295 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9294 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9294 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9294 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9293 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9293 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9292 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9291 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9288 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9288 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.928 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9277 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9273 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9272 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9271 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9271 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9263 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9262 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9259 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9249 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9228 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9225 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9212 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9212 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.921 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9184 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9179 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.9173 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9145 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9143 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9142 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9132 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9127 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9123 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.911 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9084 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9075 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9053 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.9039 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9034 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9032 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.902 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9017 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9008 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8991 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.8985 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.8959 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.8943 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.8927 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.8887 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.8873 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8845 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.884 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8839 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.8835 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.881 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.8779 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.8771 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.877 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.875 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.8708 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.8677 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.8653 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8613 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.8606 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8585 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.8585 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.8574 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.8513 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.8508 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.8502 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.8456 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.8444 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.8365 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.8338 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.8321 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.8129 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.7711 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.7695 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.7656 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.7569 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.7412 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.7309 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.7231 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.7223 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.717 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.7104 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.7048 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.7014 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.6971 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6939 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.6923 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.6916 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6883 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.6873 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.6833 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6815 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.6814 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6786 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.6771 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6767 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.676 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.6757 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.6753 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.6751 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.675 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.6746 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6745 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.6733 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.6709 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6705 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.6704 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6702 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.6701 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.6701 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.67 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.6696 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.6688 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6687 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6671 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6656 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.665 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6644 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.664 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6631 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.6622 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6605 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6602 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6601 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6595 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.658 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.6559 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6548 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6543 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6534 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6534 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6532 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6512 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6494 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.648 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6478 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6462 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6434 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6432 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6425 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6424 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6421 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.642 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6417 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6417 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6416 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.6405 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6382 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6376 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6375 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6372 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6367 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6359 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6358 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6357 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6349 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6341 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.6324 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6317 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6312 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6309 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6309 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6304 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6304 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.629 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6269 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6266 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6266 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6264 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6257 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6246 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6211 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.615 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6137 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.613 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6129 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6118 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6101 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6099 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6083 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6044 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6024 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.6021 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6011 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6004 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.598 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5967 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.5964 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.5944 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.5918 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.5914 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.5867 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.5857 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.5849 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5821 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.5812 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.5784 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5777 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5731 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.5718 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.57 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.5637 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.5553 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5552 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.5546 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.5514 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.5464 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.5452 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.5433 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.542 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.5417 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5353 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.5254 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5182 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.5159 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.5159 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.5012 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.5009 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.4936 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.4601 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.4521 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | ## GaussianNB -| roc_auc.labels.true | params | -|| - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9116 | C=1, penalty="l1" | -| 0.9103 | C=10, penalty="l1" | -| 0.9039 | C=0.1, penalty="l1" | -| 0.8677 | C=1, penalty="l2" | -| 0.858 | C=10, penalty="l2" | -| 0.8481 | C=0.1, penalty="l2" | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9191 | | diff --git a/tuning_reports/bnwiki.reverted.md b/tuning_reports/bnwiki.reverted.md index 084fa596..82e147ab 100644 --- a/tuning_reports/bnwiki.reverted.md +++ b/tuning_reports/bnwiki.reverted.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.bnwiki.reverted -- Date: 2017-09-02T19:24:07.965492 -- Observations: 19987 +- Date: 2021-01-28T00:28:52.912104 +- Observations: 19468 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9436 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | -| RandomForestClassifier | 0.9421 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | -| RandomForestClassifier | 0.9421 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | -| RandomForestClassifier | 0.942 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | -| RandomForestClassifier | 0.9419 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | -| RandomForestClassifier | 0.9417 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | -| RandomForestClassifier | 0.9415 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | -| RandomForestClassifier | 0.9412 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | -| RandomForestClassifier | 0.9411 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | -| RandomForestClassifier | 0.9401 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| +| RandomForestClassifier | 0.929 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| RandomForestClassifier | 0.9289 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| RandomForestClassifier | 0.9287 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| RandomForestClassifier | 0.9276 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| RandomForestClassifier | 0.9274 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| RandomForestClassifier | 0.9272 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| RandomForestClassifier | 0.9269 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| RandomForestClassifier | 0.9261 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| RandomForestClassifier | 0.9255 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| RandomForestClassifier | 0.9254 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9398 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100 | -| 0.9396 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700 | -| 0.9392 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300 | -| 0.9391 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300 | -| 0.939 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700 | -| 0.9386 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500 | -| 0.9384 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500 | -| 0.938 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700 | -| 0.9366 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500 | -| 0.9356 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100 | -| 0.9356 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300 | -| 0.9327 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100 | -| 0.9321 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500 | -| 0.9316 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700 | -| 0.9311 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300 | -| 0.9306 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700 | -| 0.93 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700 | -| 0.9295 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300 | -| 0.9294 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500 | -| 0.9286 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700 | -| 0.9282 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100 | -| 0.9281 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300 | -| 0.9253 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100 | -| 0.9248 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500 | -| 0.9244 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700 | -| 0.9242 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500 | -| 0.9215 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500 | -| 0.9211 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700 | -| 0.9202 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100 | -| 0.9202 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300 | -| 0.9201 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500 | -| 0.9193 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300 | -| 0.9188 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100 | -| 0.9187 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500 | -| 0.9175 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700 | -| 0.9169 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500 | -| 0.9157 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300 | -| 0.9151 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300 | -| 0.9148 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100 | -| 0.9141 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300 | -| 0.9137 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100 | -| 0.9129 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700 | -| 0.9108 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300 | -| 0.9105 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100 | -| 0.9097 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500 | -| 0.9079 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700 | -| 0.9044 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500 | -| 0.9 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700 | -| 0.8975 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300 | -| 0.8954 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100 | -| 0.8953 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500 | -| 0.8888 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100 | -| 0.8869 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100 | -| 0.8815 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100 | -| 0.8799 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700 | -| 0.8736 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500 | -| 0.8684 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700 | -| 0.8646 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300 | -| 0.8642 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100 | -| 0.8614 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700 | -| 0.8532 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300 | -| 0.8504 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100 | -| 0.7997 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500 | -| 0.7784 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300 | - -## GaussianNB -| roc_auc.labels.true | params | -|| - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9436 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | -| 0.9421 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | -| 0.9421 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | -| 0.942 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | -| 0.9419 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | -| 0.9417 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | -| 0.9415 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | -| 0.9412 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | -| 0.9411 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | -| 0.9401 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | -| 0.9401 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | -| 0.9399 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="entropy" | -| 0.9395 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="entropy" | -| 0.9394 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="gini" | -| 0.9393 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="gini" | -| 0.9392 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="gini" | -| 0.9388 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="gini" | -| 0.9387 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="gini" | -| 0.9387 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="gini" | -| 0.9385 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="entropy" | -| 0.9384 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="entropy" | -| 0.9381 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="gini" | -| 0.9381 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="entropy" | -| 0.9377 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="gini" | -| 0.9372 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="gini" | -| 0.936 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="gini" | -| 0.9358 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="entropy" | -| 0.935 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="entropy" | -| 0.9348 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="gini" | -| 0.9347 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="entropy" | -| 0.9344 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="entropy" | -| 0.934 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="gini" | -| 0.9325 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="gini" | -| 0.9324 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="gini" | -| 0.9322 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="gini" | -| 0.9313 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="gini" | -| 0.9312 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="gini" | -| 0.9311 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="entropy" | -| 0.9307 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="entropy" | -| 0.9298 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="gini" | -| 0.925 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="gini" | -| 0.9225 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="entropy" | -| 0.9199 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="entropy" | -| 0.9187 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="entropy" | -| 0.9172 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="gini" | -| 0.9135 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="gini" | -| 0.9118 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="gini" | -| 0.9116 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="entropy" | -| 0.9111 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="gini" | -| 0.9107 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="entropy" | -| 0.9088 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="entropy" | -| 0.9078 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="entropy" | -| 0.9065 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="gini" | -| 0.9049 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="gini" | -| 0.9018 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="gini" | -| 0.8879 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="entropy" | -| 0.8726 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="entropy" | -| 0.8667 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="gini" | -| 0.8284 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="gini" | -| 0.8246 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="entropy" | - ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8103 | | +| 0.7827 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9043 | penalty="l1", C=10 | -| 0.9017 | penalty="l1", C=1 | -| 0.895 | penalty="l1", C=0.1 | -| 0.8585 | penalty="l2", C=10 | -| 0.7741 | penalty="l2", C=0.1 | -| 0.7526 | penalty="l2", C=1 | +| 0.851 | C=10, penalty="l2" | +| 0.8494 | C=1, penalty="l2" | +| 0.8493 | C=0.1, penalty="l2" | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8313 | | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.929 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9289 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9287 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9276 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9274 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9272 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9269 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9261 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9255 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9254 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.925 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9246 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9241 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9237 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9236 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9234 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9232 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9232 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9222 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.922 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9216 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9215 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9212 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.921 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9206 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9204 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9202 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9199 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9197 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9185 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9184 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.918 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9172 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.9166 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9164 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.9162 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9159 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9142 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9139 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9138 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9135 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9123 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9111 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9109 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9106 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9098 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9093 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9086 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9069 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9067 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9018 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8982 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8981 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.8974 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8972 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.8947 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.8945 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.8945 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8941 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.894 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.8922 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.8848 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8831 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8746 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.868 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8644 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8543 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.85 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8062 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.8039 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9227 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9226 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9222 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9213 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.921 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9203 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9201 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9198 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9198 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9197 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9196 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9196 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9196 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9194 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9193 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9193 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9192 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9192 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9191 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9189 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9188 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9185 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9181 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9181 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9181 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9172 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.917 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9169 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9169 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9166 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9166 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9165 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9165 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9164 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.916 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9158 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9158 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9155 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9153 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.915 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.915 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9149 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9149 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9149 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9149 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9144 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9141 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9139 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9139 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9136 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9135 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9135 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9129 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9127 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9122 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9119 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9118 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9116 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9116 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9115 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.911 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9105 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9102 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9101 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9101 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9095 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9095 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9091 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9089 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9088 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9086 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9085 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9085 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9081 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9076 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9076 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9074 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9066 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9057 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9053 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9051 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9047 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9045 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9042 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9039 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9039 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9038 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9031 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9029 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9028 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9025 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9025 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9022 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.902 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9018 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9013 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9011 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.901 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.901 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9009 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9007 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9006 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9004 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8999 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8999 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.8999 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.8996 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.8994 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.899 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.899 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8988 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.8988 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.8985 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.8984 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.898 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.898 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8979 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8979 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.8978 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8976 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.8972 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.8971 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.8971 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.8969 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.8967 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8965 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8964 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.8961 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8956 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8954 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.8953 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.895 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.8949 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8948 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.8948 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.8942 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8941 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8938 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.893 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.8927 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.892 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.8919 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8918 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.8918 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.8916 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8914 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.8909 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.8907 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.8898 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8894 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.8889 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.8888 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.8886 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8876 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.8856 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8853 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.8842 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.8838 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8833 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8832 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.8827 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8825 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8819 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.8815 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.8809 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8805 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8802 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.8793 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.8792 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8774 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8771 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.8767 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.8767 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8764 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.8761 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8759 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.8757 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8756 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8756 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.8753 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.8752 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.8746 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.873 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.8725 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8712 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.8704 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.8701 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.87 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.8692 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.866 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.8636 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.8632 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.8624 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.8623 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.8612 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.8611 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.8581 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.8548 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.8546 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8544 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8542 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8537 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8528 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.8522 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.8515 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.8509 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.8506 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.8504 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.85 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.8499 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.8489 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.8439 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.8438 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8431 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8424 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8415 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.8393 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.8382 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8381 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8372 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.8368 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.8343 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.8326 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8303 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8298 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.8287 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.8182 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.8159 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.8137 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.8099 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.8085 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.8054 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.805 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.8033 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.8015 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.8007 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.7973 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.7968 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.7952 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.7951 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.7927 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.792 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.7909 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.7881 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.788 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.7867 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.7864 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.7853 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.7852 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.7851 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.7832 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.7829 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.7817 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.7817 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.7814 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.7814 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.7811 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.7809 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.7807 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.7795 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.7781 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.7779 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.7776 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.7772 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.7765 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.7745 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.7733 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.7732 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.7727 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.7724 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.7706 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.7693 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.7687 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.7669 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.7663 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.7648 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.7624 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.7582 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.756 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.7508 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.7504 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.7465 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.7456 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.745 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.7422 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.7411 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.7355 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.7344 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.73 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.7283 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.7266 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.7256 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.7254 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.7253 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.7231 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.7192 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.7135 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.7134 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.7101 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.7073 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.7059 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.7056 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.7049 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.7026 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.6986 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.6841 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.6831 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.6821 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.6806 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.6796 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.6778 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.6702 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.6689 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.6642 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.664 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.6515 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.64 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.6301 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.5879 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | diff --git a/tuning_reports/bswiki.damaging.md b/tuning_reports/bswiki.damaging.md index 55d2875b..34fdf2c2 100644 --- a/tuning_reports/bswiki.damaging.md +++ b/tuning_reports/bswiki.damaging.md @@ -1,8 +1,8 @@ # Model tuning report -- Revscoring version: 2.2.3 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.bswiki.damaging -- Date: 2018-05-30T12:06:26.398358 -- Observations: 39856 +- Date: 2021-01-28T00:53:03.104633 +- Observations: 34914 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 @@ -10,177 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.true | params | |:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9796 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.9793 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.9792 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.9792 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.9792 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=3 | -| RandomForestClassifier | 0.9792 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.9792 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.9791 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.9791 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.979 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=7 | +| RandomForestClassifier | 0.9794 | criterion="entropy", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| RandomForestClassifier | 0.9792 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| RandomForestClassifier | 0.9791 | criterion="entropy", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| RandomForestClassifier | 0.979 | criterion="entropy", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| RandomForestClassifier | 0.9789 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| RandomForestClassifier | 0.9788 | criterion="entropy", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| RandomForestClassifier | 0.9787 | criterion="gini", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| RandomForestClassifier | 0.9787 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| RandomForestClassifier | 0.9787 | criterion="gini", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| RandomForestClassifier | 0.9787 | criterion="entropy", n_estimators=640, min_samples_leaf=13, max_features="log2" | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9769 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=7 | -| 0.9768 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9767 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9767 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9766 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=7 | -| 0.9764 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9764 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.9762 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=7 | -| 0.976 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.976 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9759 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9756 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9755 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9753 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=7 | -| 0.9752 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9751 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9749 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9749 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9748 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9742 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9739 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9738 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9737 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9736 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=7 | -| 0.9728 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9728 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9728 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9726 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9722 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9714 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9708 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9685 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9684 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9679 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9678 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9674 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9674 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9657 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9654 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9642 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9634 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9631 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9579 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.9555 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9488 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9462 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=7 | -| 0.9432 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.9323 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9134 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9103 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9092 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=7 | -| 0.9065 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=7 | -| 0.8999 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8867 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.8819 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.8808 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.8486 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8405 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.8285 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=3 | -| 0.8198 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.8142 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.7964 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=3 | -| 0.7939 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.7736 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=7 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9722 | penalty="l1", C=0.1 | -| 0.9648 | penalty="l1", C=1 | -| 0.9592 | penalty="l1", C=10 | -| 0.9167 | penalty="l2", C=10 | -| 0.9118 | penalty="l2", C=0.1 | -| 0.9108 | penalty="l2", C=1 | - ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8106 | | +| 0.9546 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9796 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=7 | -| 0.9793 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=7 | -| 0.9792 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=5 | -| 0.9792 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=7 | -| 0.9792 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=3 | -| 0.9792 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=5 | -| 0.9792 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=13 | -| 0.9791 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=13 | -| 0.9791 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=5 | -| 0.979 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=7 | -| 0.9789 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=5 | -| 0.9789 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=13 | -| 0.9789 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=13 | -| 0.9789 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=7 | -| 0.9788 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=3 | -| 0.9788 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=5 | -| 0.9787 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=3 | -| 0.9787 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=1 | -| 0.9786 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=7 | -| 0.9785 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=3 | -| 0.9785 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=13 | -| 0.9785 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=13 | -| 0.9785 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=13 | -| 0.9784 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=7 | -| 0.9782 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=13 | -| 0.9782 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=13 | -| 0.9782 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=5 | -| 0.9781 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=3 | -| 0.9781 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=3 | -| 0.978 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=7 | -| 0.9779 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=5 | -| 0.9774 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=1 | -| 0.9772 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=1 | -| 0.9768 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=3 | -| 0.9768 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=1 | -| 0.9765 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=5 | -| 0.9764 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=5 | -| 0.9764 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=3 | -| 0.9764 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=7 | -| 0.976 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=13 | -| 0.9756 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=5 | -| 0.9755 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=13 | -| 0.9753 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=1 | -| 0.9752 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=13 | -| 0.975 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=5 | -| 0.9746 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=7 | -| 0.9745 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=1 | -| 0.9743 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=3 | -| 0.9741 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=7 | -| 0.9739 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=3 | -| 0.9733 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=5 | -| 0.9729 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=7 | -| 0.9728 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=1 | -| 0.9712 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=13 | -| 0.9709 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=1 | -| 0.9705 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=5 | -| 0.9696 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=7 | -| 0.9694 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=13 | -| 0.9694 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=1 | -| 0.9691 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=3 | -| 0.9684 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=3 | -| 0.9683 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=7 | -| 0.9671 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=1 | -| 0.9644 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=5 | -| 0.9624 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=3 | -| 0.9612 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=1 | -| 0.959 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=1 | -| 0.9589 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=3 | -| 0.9381 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=1 | -| 0.9352 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=1 | +| 0.9794 | criterion="entropy", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.9792 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.9791 | criterion="entropy", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.979 | criterion="entropy", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.9789 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.9788 | criterion="entropy", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.9787 | criterion="gini", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.9787 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.9787 | criterion="gini", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.9787 | criterion="entropy", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.9785 | criterion="gini", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.9785 | criterion="entropy", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.9785 | criterion="gini", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.9784 | criterion="gini", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.9784 | criterion="gini", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.9784 | criterion="entropy", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.9783 | criterion="entropy", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.9783 | criterion="entropy", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.9783 | criterion="entropy", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.9783 | criterion="gini", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.9782 | criterion="gini", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.9782 | criterion="gini", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.9778 | criterion="gini", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.9777 | criterion="gini", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.9777 | criterion="gini", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.9776 | criterion="gini", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.9774 | criterion="entropy", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.9773 | criterion="entropy", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.9773 | criterion="gini", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.9772 | criterion="entropy", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.9772 | criterion="entropy", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.9771 | criterion="gini", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.9771 | criterion="entropy", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.977 | criterion="entropy", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.977 | criterion="gini", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.9767 | criterion="entropy", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.9764 | criterion="gini", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.9762 | criterion="gini", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.976 | criterion="gini", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.9759 | criterion="gini", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.9759 | criterion="entropy", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.9759 | criterion="gini", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.9758 | criterion="gini", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.9749 | criterion="entropy", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.9747 | criterion="entropy", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.9746 | criterion="gini", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.9745 | criterion="entropy", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.9743 | criterion="gini", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.9734 | criterion="gini", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.9727 | criterion="entropy", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.9723 | criterion="entropy", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.9722 | criterion="gini", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.9718 | criterion="entropy", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.9713 | criterion="gini", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.9713 | criterion="entropy", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.9712 | criterion="gini", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.9708 | criterion="gini", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.9707 | criterion="entropy", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.9702 | criterion="entropy", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.9697 | criterion="entropy", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.9697 | criterion="gini", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.9686 | criterion="gini", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.9684 | criterion="entropy", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.967 | criterion="gini", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.9635 | criterion="entropy", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.962 | criterion="gini", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.9619 | criterion="entropy", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.9602 | criterion="gini", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.9444 | criterion="entropy", n_estimators=10, min_samples_leaf=1, max_features="log2" | +| 0.9419 | criterion="gini", n_estimators=10, min_samples_leaf=1, max_features="log2" | + +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.9231 | C=0.1, penalty="l2" | +| 0.9217 | C=1, penalty="l2" | +| 0.9217 | C=10, penalty="l2" | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8891 | | +| 0.8947 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9772 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9771 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.977 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.977 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9769 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9769 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9768 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9768 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9767 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9766 | max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9766 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9766 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9765 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9765 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9765 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9764 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9763 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9763 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9763 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9763 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9762 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9762 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9762 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9762 | max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9762 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9761 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9761 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9761 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.976 | max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9759 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9759 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9759 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9759 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9759 | max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9758 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9758 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9757 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9757 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9757 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9756 | max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9755 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9755 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9755 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9753 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9753 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9753 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9753 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9753 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9752 | max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9751 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9751 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9751 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9751 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9751 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9751 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9751 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.975 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.975 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.975 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.975 | max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.975 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9749 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9748 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9748 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9748 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9748 | max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9748 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9747 | max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9747 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9747 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9747 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9746 | max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9746 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9746 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9746 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9746 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9745 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9745 | max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9745 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9745 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9744 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9744 | max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9743 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9743 | max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9742 | max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9742 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9742 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9742 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9741 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9741 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9741 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9741 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9741 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9741 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.974 | max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.974 | max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.974 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.974 | max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9737 | max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9737 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9737 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9736 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9735 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9735 | max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9735 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9734 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9734 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9733 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9733 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9733 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9733 | max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9733 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9732 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9732 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9731 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9731 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.973 | max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.973 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9729 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9729 | max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9728 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9728 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9728 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9727 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9727 | max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9727 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9726 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9724 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9724 | max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9724 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9724 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9723 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9723 | max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9722 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9722 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9721 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9721 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9719 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9718 | max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9715 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9714 | max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9713 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9713 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9712 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9711 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9711 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.971 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.971 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9709 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9707 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9706 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9705 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9705 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9705 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9705 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9704 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9704 | max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9703 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9703 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9703 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9702 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9701 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9701 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.97 | max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9699 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9699 | max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9699 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9698 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9698 | max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9698 | max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9697 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9696 | max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9696 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9696 | max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9694 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9693 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9693 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9692 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9691 | max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.969 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9689 | max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9684 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9684 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9683 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9682 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9681 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9677 | max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9675 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9673 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9673 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9669 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9666 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9665 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9665 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9663 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9663 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9662 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9662 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9654 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9653 | max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9652 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9652 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9648 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9648 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9647 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.9646 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9646 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9643 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9642 | max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9642 | max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9636 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9633 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9632 | max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.963 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9626 | max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9623 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9617 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9601 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9599 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9598 | max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9588 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9586 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9584 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9564 | max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9557 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9557 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9555 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9546 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9541 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9539 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9538 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9532 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9528 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9524 | max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9516 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9501 | max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.95 | max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9496 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9491 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9488 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9469 | max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9411 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9407 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.935 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.9348 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9335 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.933 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9327 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9322 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.9312 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.9312 | max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.931 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.9305 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9297 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.929 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9281 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.9274 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9272 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.9269 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9266 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9265 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9255 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.9254 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.925 | max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9246 | max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.9237 | max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.9229 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.9213 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.92 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9189 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.9184 | max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.9147 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.9137 | max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.9136 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.9123 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.912 | max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.9115 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=3, max_features="log2" | +| 0.9104 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=1, max_features="log2" | +| 0.9041 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.9026 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.8923 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=13, max_features="log2" | +| 0.8898 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.8876 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=5, max_features="log2" | +| 0.882 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.8811 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.8761 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.8716 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.8695 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=3, max_features="log2" | +| 0.8633 | max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=7, max_features="log2" | +| 0.853 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.8493 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.8492 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.8441 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.8354 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.8331 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.8246 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.824 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.8237 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.8228 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.8217 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=5, max_features="log2" | +| 0.8212 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.8138 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=1, max_features="log2" | +| 0.8107 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.8009 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.7992 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=13, max_features="log2" | +| 0.793 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=7, max_features="log2" | +| 0.7876 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=13, max_features="log2" | +| 0.7859 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | +| 0.7803 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.7797 | max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=3, max_features="log2" | +| 0.7773 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.7744 | max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.7658 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=3, max_features="log2" | +| 0.7656 | max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=7, max_features="log2" | +| 0.7653 | max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=13, max_features="log2" | +| 0.7613 | max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=1, max_features="log2" | +| 0.7567 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=1, max_features="log2" | +| 0.7436 | max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=7, max_features="log2" | +| 0.7416 | max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=5, max_features="log2" | +| 0.7373 | max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=5, max_features="log2" | diff --git a/tuning_reports/bswiki.goodfaith.md b/tuning_reports/bswiki.goodfaith.md index edad165a..ee86fac6 100644 --- a/tuning_reports/bswiki.goodfaith.md +++ b/tuning_reports/bswiki.goodfaith.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.3 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.bswiki.goodfaith -- Date: 2018-05-30T13:26:24.224634 -- Observations: 39856 +- Date: 2021-01-28T01:49:35.893967 +- Observations: 34914 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GaussianNB | 0.9967 | | -| GradientBoosting | 0.9917 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | -| GradientBoosting | 0.9911 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | -| GradientBoosting | 0.9908 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | -| GradientBoosting | 0.9908 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | -| GradientBoosting | 0.9906 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1 | -| GradientBoosting | 0.9904 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | -| GradientBoosting | 0.9904 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | -| GradientBoosting | 0.99 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | -| GradientBoosting | 0.9896 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------| +| RandomForestClassifier | 0.9826 | n_estimators=160, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9823 | n_estimators=640, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9823 | n_estimators=160, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9822 | n_estimators=640, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9822 | n_estimators=640, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9821 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9819 | n_estimators=40, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9819 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9819 | n_estimators=320, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9819 | n_estimators=160, min_samples_leaf=13, max_features="log2", criterion="entropy" | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9917 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | -| 0.9911 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | -| 0.9908 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | -| 0.9908 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | -| 0.9906 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1 | -| 0.9904 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | -| 0.9904 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | -| 0.99 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | -| 0.9896 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | -| 0.9887 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5 | -| 0.9884 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5 | -| 0.9877 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1 | -| 0.9876 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1 | -| 0.9875 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1 | -| 0.9867 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5 | -| 0.9857 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5 | -| 0.9855 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1 | -| 0.9843 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1 | -| 0.9842 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1 | -| 0.9838 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5 | -| 0.9824 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | -| 0.9821 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5 | -| 0.9815 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | -| 0.9813 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1 | -| 0.9803 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5 | -| 0.98 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01 | -| 0.9799 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1 | -| 0.9798 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5 | -| 0.9797 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01 | -| 0.9796 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01 | -| 0.9787 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1 | -| 0.9785 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01 | -| 0.9785 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01 | -| 0.9785 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01 | -| 0.9784 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1 | -| 0.9783 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1 | -| 0.9782 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01 | -| 0.9782 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5 | -| 0.9782 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01 | -| 0.9781 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01 | -| 0.978 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01 | -| 0.9778 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1 | -| 0.9777 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01 | -| 0.9777 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01 | -| 0.9776 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01 | -| 0.977 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1 | -| 0.9768 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5 | -| 0.9766 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1 | -| 0.9765 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01 | -| 0.9762 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01 | -| 0.9753 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1 | -| 0.9748 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1 | -| 0.9741 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1 | -| 0.9676 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5 | -| 0.965 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1 | -| 0.9554 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1 | -| 0.9424 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1 | -| 0.9304 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1 | -| 0.9278 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1 | -| 0.9122 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=1 | -| 0.9105 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1 | -| 0.8876 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1 | -| 0.8378 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1 | -| 0.8332 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1 | - ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9874 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9869 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9868 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9865 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9864 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9864 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9861 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9861 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9861 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9861 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | -| 0.986 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9857 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9857 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9856 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9855 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9855 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9855 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9853 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9852 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9851 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9851 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.9849 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9849 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9849 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9849 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9848 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9847 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9847 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9846 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9845 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9845 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9845 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9844 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=640 | -| 0.9843 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9843 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9843 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9843 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9841 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.984 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.984 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.984 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.9838 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9838 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9837 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9836 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.9835 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9834 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9834 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9833 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9833 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9833 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9832 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9832 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.9831 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=640 | -| 0.9831 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=640 | -| 0.9829 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9828 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9827 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9827 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=640 | -| 0.9824 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9824 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.9823 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9823 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9822 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.982 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9818 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9818 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9817 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=640 | -| 0.9815 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9815 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9826 | n_estimators=160, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| 0.9823 | n_estimators=640, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| 0.9823 | n_estimators=160, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| 0.9822 | n_estimators=640, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| 0.9822 | n_estimators=640, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| 0.9821 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| 0.9819 | n_estimators=40, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| 0.9819 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| 0.9819 | n_estimators=320, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| 0.9819 | n_estimators=160, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| 0.9819 | n_estimators=320, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| 0.9818 | n_estimators=640, min_samples_leaf=5, max_features="log2", criterion="gini" | +| 0.9818 | n_estimators=640, min_samples_leaf=3, max_features="log2", criterion="gini" | +| 0.9818 | n_estimators=160, min_samples_leaf=7, max_features="log2", criterion="gini" | +| 0.9817 | n_estimators=640, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| 0.9816 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="gini" | +| 0.9815 | n_estimators=160, min_samples_leaf=5, max_features="log2", criterion="gini" | +| 0.9814 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| 0.9813 | n_estimators=640, min_samples_leaf=13, max_features="log2", criterion="gini" | +| 0.9813 | n_estimators=640, min_samples_leaf=7, max_features="log2", criterion="gini" | +| 0.9812 | n_estimators=80, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| 0.9812 | n_estimators=80, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| 0.9812 | n_estimators=320, min_samples_leaf=13, max_features="log2", criterion="gini" | +| 0.9812 | n_estimators=80, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| 0.9812 | n_estimators=160, min_samples_leaf=13, max_features="log2", criterion="gini" | +| 0.9811 | n_estimators=40, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| 0.9811 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="gini" | +| 0.981 | n_estimators=320, min_samples_leaf=7, max_features="log2", criterion="gini" | +| 0.9809 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="entropy" | +| 0.9808 | n_estimators=40, min_samples_leaf=13, max_features="log2", criterion="gini" | +| 0.9808 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="gini" | +| 0.9807 | n_estimators=80, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| 0.9807 | n_estimators=80, min_samples_leaf=5, max_features="log2", criterion="gini" | +| 0.9807 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="gini" | +| 0.9807 | n_estimators=80, min_samples_leaf=13, max_features="log2", criterion="gini" | +| 0.9806 | n_estimators=640, min_samples_leaf=1, max_features="log2", criterion="gini" | +| 0.9804 | n_estimators=640, min_samples_leaf=1, max_features="log2", criterion="entropy" | +| 0.9803 | n_estimators=80, min_samples_leaf=7, max_features="log2", criterion="gini" | +| 0.9802 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="entropy" | +| 0.9801 | n_estimators=20, min_samples_leaf=13, max_features="log2", criterion="gini" | +| 0.9801 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="gini" | +| 0.98 | n_estimators=80, min_samples_leaf=3, max_features="log2", criterion="gini" | +| 0.9798 | n_estimators=40, min_samples_leaf=7, max_features="log2", criterion="gini" | +| 0.9794 | n_estimators=40, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| 0.9793 | n_estimators=20, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| 0.979 | n_estimators=20, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| 0.9788 | n_estimators=20, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| 0.9786 | n_estimators=40, min_samples_leaf=3, max_features="log2", criterion="gini" | +| 0.978 | n_estimators=40, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| 0.9778 | n_estimators=20, min_samples_leaf=7, max_features="log2", criterion="gini" | +| 0.9778 | n_estimators=40, min_samples_leaf=5, max_features="log2", criterion="gini" | +| 0.9774 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="entropy" | +| 0.9773 | n_estimators=10, min_samples_leaf=13, max_features="log2", criterion="gini" | +| 0.9772 | n_estimators=20, min_samples_leaf=5, max_features="log2", criterion="gini" | +| 0.9766 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="gini" | +| 0.9759 | n_estimators=10, min_samples_leaf=13, max_features="log2", criterion="entropy" | +| 0.9752 | n_estimators=20, min_samples_leaf=3, max_features="log2", criterion="gini" | +| 0.9743 | n_estimators=20, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| 0.974 | n_estimators=10, min_samples_leaf=7, max_features="log2", criterion="entropy" | +| 0.9727 | n_estimators=10, min_samples_leaf=5, max_features="log2", criterion="gini" | +| 0.9727 | n_estimators=10, min_samples_leaf=5, max_features="log2", criterion="entropy" | +| 0.972 | n_estimators=10, min_samples_leaf=7, max_features="log2", criterion="gini" | +| 0.9719 | n_estimators=40, min_samples_leaf=1, max_features="log2", criterion="entropy" | +| 0.9718 | n_estimators=40, min_samples_leaf=1, max_features="log2", criterion="gini" | +| 0.9704 | n_estimators=10, min_samples_leaf=3, max_features="log2", criterion="gini" | +| 0.9663 | n_estimators=20, min_samples_leaf=1, max_features="log2", criterion="entropy" | +| 0.9651 | n_estimators=10, min_samples_leaf=3, max_features="log2", criterion="entropy" | +| 0.9623 | n_estimators=20, min_samples_leaf=1, max_features="log2", criterion="gini" | +| 0.947 | n_estimators=10, min_samples_leaf=1, max_features="log2", criterion="entropy" | +| 0.9403 | n_estimators=10, min_samples_leaf=1, max_features="log2", criterion="gini" | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.984 | penalty="l1", C=10 | -| 0.9838 | penalty="l1", C=1 | -| 0.9792 | penalty="l1", C=0.1 | -| 0.9297 | penalty="l2", C=0.1 | -| 0.9297 | penalty="l2", C=10 | -| 0.9178 | penalty="l2", C=1 | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9817 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9816 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9815 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9814 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9814 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9814 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9814 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9814 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9814 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9813 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9813 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9811 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9811 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9811 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9811 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.981 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.981 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.981 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9809 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9809 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9809 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9808 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9808 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9808 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9808 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9808 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9807 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9807 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9807 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9807 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9806 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9806 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9806 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9806 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9806 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9805 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9805 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9805 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9805 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9805 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9805 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9805 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9805 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9804 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9804 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9804 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9803 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9803 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9803 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9803 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9803 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9802 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9802 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9802 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9802 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9801 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9801 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9801 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9801 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.98 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.98 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.98 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9799 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9799 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9799 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9799 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9799 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9799 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9798 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9798 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9798 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9798 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9798 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9798 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9798 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9797 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9797 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9797 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9797 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9796 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9796 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9796 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9796 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9796 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9796 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9796 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9795 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9795 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9795 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9795 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9795 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9795 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9795 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9794 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9794 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9793 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9793 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9793 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9793 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9793 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9793 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9793 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9792 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9792 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9791 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9791 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.979 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.979 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9789 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9789 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9788 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9788 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9788 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9788 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9788 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9787 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9787 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9787 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9787 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9787 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9787 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9787 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9786 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9786 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9786 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9785 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9785 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9783 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9783 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9783 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9783 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9782 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9782 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9782 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9782 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9782 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9781 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9781 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9781 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.978 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.978 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9779 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9778 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9777 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9777 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9776 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9776 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9776 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9775 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9775 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9775 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9774 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9773 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9772 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9772 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9772 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9771 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9771 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9771 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9769 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9769 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9768 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9768 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9767 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9767 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9767 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9766 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9766 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9766 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9765 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9765 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9763 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9762 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9761 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.976 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9759 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9757 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9756 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9755 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9755 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9755 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9753 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9751 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9751 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9751 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1 | +| 0.975 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.975 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9749 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9743 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9742 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9742 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9741 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.974 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9739 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9738 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9731 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9726 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9724 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9722 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9721 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9719 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9718 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9718 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9712 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9711 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9705 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.97 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9696 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9684 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9683 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9676 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9675 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9674 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9669 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9668 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9667 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9654 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9636 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9635 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9625 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9622 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.96 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9591 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9584 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9582 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9579 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9577 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9572 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9563 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9554 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9524 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9516 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9483 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9481 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9478 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9476 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9448 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9444 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.942 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9338 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9337 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9328 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9285 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9283 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.928 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9277 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5 | +| 0.9269 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9263 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9261 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9252 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5 | +| 0.9244 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9239 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9237 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9232 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9224 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9214 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9205 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5 | +| 0.9205 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9204 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5 | +| 0.9202 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9195 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9184 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9177 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9173 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9146 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9139 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9133 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.913 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7 | +| 0.9118 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5 | +| 0.9112 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9102 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9059 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9048 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9033 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7 | +| 0.9005 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.8917 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8899 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8867 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8798 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8782 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7 | +| 0.872 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8713 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8699 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8662 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8656 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7 | +| 0.862 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8499 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8452 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5 | +| 0.845 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8443 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8429 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8422 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8338 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8258 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8254 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8198 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8195 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8194 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8108 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5 | +| 0.808 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8064 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8048 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8039 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8015 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7944 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3 | +| 0.7906 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7731 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7722 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7687 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7612 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7604 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7551 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3 | +| 0.7535 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7438 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7398 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7292 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7016 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7014 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7 | +| 0.698 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3 | +| 0.678 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5 | -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.904 | | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.9328 | C=0.1, penalty="l2" | +| 0.9318 | C=1, penalty="l2" | +| 0.9305 | C=10, penalty="l2" | ## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9967 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9681 | | + +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8968 | | diff --git a/tuning_reports/cawiki.damaging.md b/tuning_reports/cawiki.damaging.md index 83ecc5f9..a175d161 100644 --- a/tuning_reports/cawiki.damaging.md +++ b/tuning_reports/cawiki.damaging.md @@ -1,8 +1,8 @@ # Model tuning report -- Revscoring version: 2.6.1 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.cawiki.damaging -- Date: 2019-11-05T07:34:45.865219 -- Observations: 39674 +- Date: 2021-01-28T02:46:46.981721 +- Observations: 39608 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 @@ -10,433 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.true | params | |:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| -| GradientBoosting | 0.9769 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| GradientBoosting | 0.9766 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| GradientBoosting | 0.9764 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| GradientBoosting | 0.9763 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| GradientBoosting | 0.9762 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| GradientBoosting | 0.9761 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| GradientBoosting | 0.976 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| GradientBoosting | 0.9759 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| GradientBoosting | 0.9758 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| GradientBoosting | 0.9758 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | +| GradientBoosting | 0.9776 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9774 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9773 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| GradientBoosting | 0.977 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9769 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9769 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | +| GradientBoosting | 0.9769 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9769 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9767 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9767 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | # Models -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8982 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9769 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9766 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9764 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9763 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9762 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9761 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.976 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9759 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9758 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9758 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9757 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9757 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9756 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9756 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9756 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9755 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9755 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9755 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9754 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9754 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9753 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9752 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9752 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9752 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.975 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.975 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.975 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.975 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.975 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9749 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9748 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9748 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9747 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9746 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9746 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9746 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9746 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9746 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9746 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9745 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9744 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9744 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9744 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9744 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9743 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9743 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9742 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9742 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9741 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.974 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.974 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.974 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.974 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9739 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9738 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9737 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9737 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9737 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9737 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9736 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9736 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9736 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9736 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9735 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9735 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9735 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9735 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9735 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9735 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9735 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9735 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9735 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9734 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9733 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9732 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9732 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9731 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9731 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9731 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.973 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.973 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9729 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9729 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9728 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9728 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9727 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9727 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9727 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9726 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9726 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9726 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9725 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9724 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9723 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9723 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9723 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9722 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9721 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9718 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9718 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9717 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9717 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9715 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9715 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9715 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9715 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9714 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9714 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9713 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9712 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9711 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9709 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9708 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9708 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9705 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9704 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9703 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9701 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9701 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9697 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9696 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9696 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9695 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9693 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9693 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9692 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9692 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9691 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | -| 0.969 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9688 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9686 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9686 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9686 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9686 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9686 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9685 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9685 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9683 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9683 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9683 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9683 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9681 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9681 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9679 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9678 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9676 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9666 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9663 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9662 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9657 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9656 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9653 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | -| 0.965 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | -| 0.965 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9649 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9647 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9647 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9645 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9645 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9644 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9639 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9629 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9628 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9627 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9626 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9624 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9624 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9624 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9624 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9624 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9623 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9621 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9617 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9616 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9613 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9613 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9612 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9612 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9611 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.961 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9606 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9605 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9599 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9599 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9595 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9595 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9595 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9595 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9595 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9588 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9578 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.957 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9568 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9552 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9535 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9535 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9535 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9535 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9535 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9533 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9529 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9522 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9507 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9498 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9496 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9472 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9457 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9452 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9443 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9442 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9433 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9432 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9429 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9414 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9401 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9395 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9395 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9395 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9395 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9395 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9393 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9392 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9367 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9347 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9345 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9322 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9315 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9307 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9302 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9299 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9289 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9277 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9267 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9265 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9175 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.917 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9159 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9149 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9147 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9147 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9146 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9132 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9132 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9124 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9119 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9114 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9108 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9107 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9104 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9104 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9097 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9093 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9082 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.908 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9074 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.907 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9064 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9063 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9063 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | -| 0.905 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9047 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9044 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9032 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9027 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9004 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.8998 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8944 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8926 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8922 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8921 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8913 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8887 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8832 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8831 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8829 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8826 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8825 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8771 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8762 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8741 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8735 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8709 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8674 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8649 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8645 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8644 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8601 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | -| 0.859 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | -| 0.8506 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8494 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8428 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | -| 0.83 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8283 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8142 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8141 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | -| 0.802 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8011 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7929 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7887 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7817 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7813 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | -| 0.7755 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | -| 0.7726 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7701 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7612 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7518 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7506 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | -| 0.7469 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | -| 0.746 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | -| 0.7457 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7447 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | -| 0.7389 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7375 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | -| 0.729 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7241 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7203 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | -| 0.7146 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | -| 0.6952 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | -| 0.6891 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | - ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9745 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9739 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9739 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9739 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9737 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9736 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9734 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9733 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9733 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9732 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.973 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9729 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9725 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9725 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9725 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9723 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9722 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=640 | -| 0.972 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9711 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9711 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=320 | -| 0.971 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.971 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9708 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9706 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9705 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9704 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9704 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=160 | -| 0.97 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=160 | -| 0.97 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9698 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9698 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9697 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9693 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9693 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9689 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9686 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9684 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9684 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9681 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9678 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9676 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9675 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9671 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9659 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9655 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9648 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9646 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9645 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9642 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=20 | -| 0.964 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9632 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9624 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9612 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9592 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9582 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9576 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9563 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9558 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9535 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=20 | -| 0.951 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9507 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=10 | -| 0.949 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9488 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9485 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9474 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=10 | -| 0.944 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9364 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9277 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9134 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9041 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=10 | +| 0.9754 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9752 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9749 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9748 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9746 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9745 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9745 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9744 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9743 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9741 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9736 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9736 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9728 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9725 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9725 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9725 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9725 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.972 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.972 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="gini" | +| 0.972 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9718 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9718 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9717 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9716 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9714 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9714 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9711 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.971 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="gini" | +| 0.971 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9709 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9706 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9703 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9702 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9702 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9699 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9698 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9695 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9694 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9694 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9694 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9693 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9691 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9689 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9673 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="gini" | +| 0.967 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9661 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9659 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9659 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9659 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9657 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9654 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9649 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9638 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9634 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9607 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9576 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9568 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9565 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9561 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9548 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9542 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9522 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9509 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.949 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="gini" | +| 0.942 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9419 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9411 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9327 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9098 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9096 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="gini" | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8838 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9659 | C=1, penalty="l1" | -| 0.9653 | C=10, penalty="l1" | -| 0.964 | C=0.1, penalty="l1" | -| 0.8329 | C=1, penalty="l2" | -| 0.8329 | C=10, penalty="l2" | -| 0.8254 | C=0.1, penalty="l2" | +| 0.9285 | C=1, penalty="l2" | +| 0.9277 | C=0.1, penalty="l2" | +| 0.9263 | C=10, penalty="l2" | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.9246 | | +| 0.9261 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9776 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9774 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9773 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.977 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9769 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9769 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9769 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9769 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9767 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9767 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9766 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9766 | min_samples_leaf=3, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9765 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9765 | min_samples_leaf=5, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9765 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9762 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9762 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9761 | min_samples_leaf=5, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9761 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.976 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.976 | min_samples_leaf=1, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.976 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9758 | min_samples_leaf=5, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9757 | min_samples_leaf=3, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9757 | min_samples_leaf=1, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9757 | min_samples_leaf=5, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9756 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9756 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9756 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9755 | min_samples_leaf=7, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9755 | min_samples_leaf=13, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9754 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9754 | min_samples_leaf=1, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9754 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9753 | min_samples_leaf=13, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9752 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9751 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9751 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9751 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9751 | min_samples_leaf=1, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9751 | min_samples_leaf=7, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.975 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.975 | min_samples_leaf=13, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.975 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.975 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.975 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9749 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9749 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9748 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9748 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9748 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9747 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9747 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9747 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9746 | min_samples_leaf=1, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9746 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9746 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9746 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9746 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9745 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9745 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9744 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9744 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9744 | min_samples_leaf=7, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9743 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9742 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9742 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9742 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9742 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9742 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9741 | min_samples_leaf=5, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9741 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.974 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.974 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.974 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9739 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9739 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9739 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9739 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9738 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9737 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9737 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9737 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9737 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9736 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9736 | min_samples_leaf=13, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9736 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9735 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9734 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9733 | min_samples_leaf=1, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9733 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9733 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9733 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9731 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9731 | min_samples_leaf=5, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9731 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9731 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.973 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9729 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9729 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9729 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | +| 0.9729 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9728 | min_samples_leaf=1, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9727 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9726 | min_samples_leaf=13, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9724 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9724 | min_samples_leaf=3, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9722 | min_samples_leaf=5, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9722 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9722 | min_samples_leaf=1, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.972 | min_samples_leaf=13, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9719 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9718 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9717 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9717 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9716 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9715 | min_samples_leaf=3, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | +| 0.9712 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | +| 0.9707 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9706 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9705 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9704 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9703 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9701 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | +| 0.97 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.97 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9695 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9693 | min_samples_leaf=1, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9693 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9692 | min_samples_leaf=13, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.969 | min_samples_leaf=13, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9689 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9687 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9685 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9685 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9682 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9681 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9679 | min_samples_leaf=3, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | +| 0.9679 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9678 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9678 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9677 | min_samples_leaf=5, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9677 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9674 | min_samples_leaf=13, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9671 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9669 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9668 | min_samples_leaf=7, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9668 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9667 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9665 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9664 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9664 | min_samples_leaf=1, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9664 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9663 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9662 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9659 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9659 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9659 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9656 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9654 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9654 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9652 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9652 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9652 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9651 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9651 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9648 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9647 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9647 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | +| 0.9643 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.964 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.9637 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9637 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9636 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9636 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9634 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9628 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9627 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9625 | min_samples_leaf=1, n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | +| 0.962 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9618 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9613 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9611 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.961 | min_samples_leaf=13, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9609 | min_samples_leaf=5, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9604 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9604 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9604 | min_samples_leaf=3, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | +| 0.9599 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9598 | min_samples_leaf=3, n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9588 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9573 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9567 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9558 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9554 | min_samples_leaf=5, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9548 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9544 | min_samples_leaf=1, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9543 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9542 | min_samples_leaf=13, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.954 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9531 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9518 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9517 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9517 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | +| 0.9506 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9506 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | +| 0.95 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.95 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9498 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9494 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.949 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9486 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9471 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9462 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9457 | min_samples_leaf=3, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9439 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9432 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9427 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9425 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9408 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.939 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9387 | min_samples_leaf=13, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.9384 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | +| 0.938 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9379 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9372 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9367 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.936 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9348 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9346 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | +| 0.9345 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9344 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.932 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | +| 0.9295 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9276 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9272 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9262 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.924 | min_samples_leaf=5, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9236 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9231 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9225 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9221 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9217 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9214 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9202 | min_samples_leaf=5, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.92 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9197 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9196 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9191 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9189 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.918 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9178 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9178 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9167 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9166 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9164 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9164 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9161 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9152 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9146 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9138 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9132 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.9125 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9124 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9123 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9122 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | +| 0.9117 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | +| 0.909 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | +| 0.9055 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | +| 0.9049 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8885 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8868 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8817 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8802 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | +| 0.877 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8769 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8764 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8762 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8665 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8659 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8634 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8613 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8603 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8524 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8507 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8437 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8428 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8388 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | +| 0.836 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8296 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8277 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8261 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8239 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8229 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8224 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8207 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8195 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8115 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8108 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8094 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8092 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | +| 0.8092 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8076 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | +| 0.8063 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | +| 0.8018 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7976 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | +| 0.7963 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7778 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7716 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7654 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | +| 0.7653 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | +| 0.7516 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7504 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7467 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7396 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7334 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | +| 0.7304 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7277 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7073 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | +| 0.7002 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | diff --git a/tuning_reports/cawiki.goodfaith.md b/tuning_reports/cawiki.goodfaith.md index f71f6a8c..82aafd46 100644 --- a/tuning_reports/cawiki.goodfaith.md +++ b/tuning_reports/cawiki.goodfaith.md @@ -1,441 +1,439 @@ # Model tuning report -- Revscoring version: 2.6.1 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.cawiki.goodfaith -- Date: 2019-11-05T08:52:39.754525 -- Observations: 39674 +- Date: 2021-01-28T03:51:28.254386 +- Observations: 39608 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------|-----------------------:|:-------------------------------------------------------------------------------------------| -| GradientBoosting | 0.9836 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9834 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9834 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| GradientBoosting | 0.9834 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9833 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9831 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9831 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9831 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| GradientBoosting | 0.9831 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.983 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9838 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9836 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| GradientBoosting | 0.9835 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| GradientBoosting | 0.9835 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9835 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| GradientBoosting | 0.9833 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| GradientBoosting | 0.9833 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| GradientBoosting | 0.9832 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| GradientBoosting | 0.9832 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9832 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=700 | # Models +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9219 | | + +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9442 | | + ## GradientBoosting | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9836 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9834 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9834 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9834 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9833 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9831 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9831 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9831 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9831 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.983 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.983 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.983 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.983 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9829 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9828 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9827 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9827 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9827 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9827 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9827 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9827 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9826 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9826 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9825 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9825 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9825 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9825 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9824 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9824 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9824 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9824 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9824 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9824 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9824 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9823 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9823 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9823 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9822 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9822 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9822 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9822 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9822 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9822 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9822 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9821 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9821 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.982 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.982 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.982 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.982 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9819 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9819 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9819 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9818 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9818 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9817 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9817 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9817 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9816 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9816 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9816 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9815 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9815 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9814 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9813 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9813 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9812 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9812 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9811 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9811 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9811 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9811 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9811 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9811 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9811 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.981 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.981 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9809 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9809 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9809 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9809 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9808 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9808 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9808 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9808 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9807 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9807 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9806 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9806 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9806 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9806 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9805 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9805 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9805 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9805 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9804 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9802 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9802 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9802 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9802 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9802 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9801 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9797 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9796 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9796 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9796 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9793 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9789 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9789 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9788 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9787 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9787 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9786 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9786 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9784 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9782 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9778 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9777 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9777 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9776 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9774 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9774 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9773 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.977 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9767 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9766 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9761 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.976 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9758 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9757 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9757 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9755 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9755 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9754 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9751 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.975 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9749 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9747 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9746 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9744 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9743 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.974 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.974 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9738 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9737 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9736 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9734 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9733 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9733 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9732 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9728 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9723 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9723 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9722 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9721 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9716 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9715 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9713 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9713 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9712 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.971 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9707 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9707 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9701 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9701 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.97 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9688 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9687 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.968 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9673 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.967 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9661 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9657 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.965 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9647 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9641 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.964 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9637 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9637 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9635 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9634 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9632 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.963 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9626 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9625 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9623 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.962 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9618 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9617 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9613 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9603 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9599 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9596 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9576 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9569 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9542 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.954 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.954 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9533 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9523 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9515 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9513 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9513 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9509 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9509 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9483 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9463 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.944 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9406 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9403 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.939 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9383 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9371 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.937 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9364 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9361 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9352 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9349 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9341 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9332 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.933 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9317 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9305 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9297 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9293 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9292 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9283 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9281 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9263 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9261 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9254 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9251 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.925 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9248 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9247 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9246 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9244 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9244 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.924 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9237 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.923 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9226 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9226 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9219 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9206 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9205 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9203 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.92 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9196 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9194 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9193 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9191 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.919 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9188 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9179 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9177 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9122 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9025 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8869 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.878 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8735 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8726 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8667 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8615 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8597 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8594 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8587 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8586 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8556 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8553 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8537 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8497 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8385 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8321 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8308 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8297 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8277 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.823 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8205 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8191 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8172 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8106 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8097 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8089 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8087 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8063 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.804 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8012 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8009 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8007 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8005 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7946 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7946 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7941 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7941 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7864 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7861 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7816 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7794 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7791 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.7784 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7773 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7714 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7688 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.768 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7619 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7562 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.756 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7554 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7549 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7531 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7513 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7442 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7434 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7431 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.7386 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7369 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7265 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.724 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.6888 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | - -## RandomForestClassifier -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------| -| 0.9809 | n_estimators=640, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9807 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9805 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9801 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9801 | n_estimators=640, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.98 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9799 | n_estimators=640, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9799 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9797 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9793 | n_estimators=80, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9792 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.979 | n_estimators=640, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9789 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.978 | n_estimators=80, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9779 | n_estimators=40, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9778 | n_estimators=640, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9778 | n_estimators=640, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9775 | n_estimators=640, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9774 | n_estimators=640, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9767 | n_estimators=320, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9767 | n_estimators=320, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9767 | n_estimators=40, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9767 | n_estimators=160, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9766 | n_estimators=40, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9766 | n_estimators=640, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9765 | n_estimators=320, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9765 | n_estimators=160, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9764 | n_estimators=80, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9764 | n_estimators=320, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9761 | n_estimators=80, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.976 | n_estimators=160, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9758 | n_estimators=80, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9746 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9746 | n_estimators=640, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9745 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9744 | n_estimators=80, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.974 | n_estimators=40, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.973 | n_estimators=20, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9728 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9718 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9717 | n_estimators=20, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9716 | n_estimators=80, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9709 | n_estimators=160, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9704 | n_estimators=20, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9702 | n_estimators=40, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9702 | n_estimators=10, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.97 | n_estimators=40, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9694 | n_estimators=160, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9692 | n_estimators=20, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9688 | n_estimators=40, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9668 | n_estimators=20, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9665 | n_estimators=10, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.966 | n_estimators=10, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9656 | n_estimators=20, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9646 | n_estimators=80, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9646 | n_estimators=40, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9646 | n_estimators=20, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9644 | n_estimators=20, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9642 | n_estimators=80, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9639 | n_estimators=10, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9595 | n_estimators=40, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9587 | n_estimators=10, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9565 | n_estimators=10, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9536 | n_estimators=40, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9514 | n_estimators=10, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.951 | n_estimators=10, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9448 | n_estimators=20, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9439 | n_estimators=20, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9259 | n_estimators=10, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9123 | n_estimators=10, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9838 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| 0.9836 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.9835 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.9835 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.9835 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.9833 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.9833 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.9832 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.9832 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.9832 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.9832 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.9832 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=100 | +| 0.9831 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.9831 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.9831 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, n_estimators=700 | +| 0.9831 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.983 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=100 | +| 0.9828 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.9828 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=500 | +| 0.9828 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.9828 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1, n_estimators=700 | +| 0.9828 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.9828 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.9828 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=500 | +| 0.9828 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.9828 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.9828 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.9827 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.9827 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.9826 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.9826 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.9826 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9826 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.9825 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.9825 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1, n_estimators=500 | +| 0.9825 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.9825 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, n_estimators=500 | +| 0.9825 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.9824 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.9824 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.9824 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.9824 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=700 | +| 0.9823 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=700 | +| 0.9823 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.9823 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.9823 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.9822 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9822 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.9822 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.9822 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.9822 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.9821 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.9821 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.9821 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1, n_estimators=500 | +| 0.9821 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.9821 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.9821 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.982 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.982 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.982 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.982 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.982 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.982 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.9819 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.9819 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=500 | +| 0.9819 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.9818 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.9818 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.9818 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9817 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.9817 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.9817 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.9817 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.9817 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1, n_estimators=500 | +| 0.9816 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.9815 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.9815 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.9815 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.9815 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.9814 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.9814 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1, n_estimators=700 | +| 0.9813 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.9812 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=700 | +| 0.9812 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.9812 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.9812 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.9812 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.9811 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.9811 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.981 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.981 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.9809 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.9809 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.9808 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.9808 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.9808 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.9808 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.9806 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1, n_estimators=100 | +| 0.9806 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.9806 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.9806 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.9804 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.9802 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.9802 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.9802 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.98 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1, n_estimators=100 | +| 0.9798 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.9797 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.9796 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.9791 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.9786 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.9784 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.9782 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.978 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.978 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=500 | +| 0.9777 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=100 | +| 0.9777 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.9776 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.9776 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.9775 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.9773 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.9773 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.9771 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9771 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=100 | +| 0.977 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.977 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.9768 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=500 | +| 0.9768 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.9764 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.9764 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1, n_estimators=100 | +| 0.9761 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=100 | +| 0.9761 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1, n_estimators=100 | +| 0.9761 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.976 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.9759 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.9758 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.9756 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5, n_estimators=100 | +| 0.9756 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1, n_estimators=700 | +| 0.9755 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.9754 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.9753 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1, n_estimators=700 | +| 0.9752 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.975 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.9748 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.9743 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.9743 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.9742 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1, n_estimators=700 | +| 0.9742 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9742 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.974 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.9737 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.9733 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=700 | +| 0.9732 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.9728 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.9728 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.9727 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.9727 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1, n_estimators=500 | +| 0.972 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.9718 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=500 | +| 0.9718 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=500 | +| 0.9714 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.9712 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1, n_estimators=500 | +| 0.9712 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=700 | +| 0.9711 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3, n_estimators=100 | +| 0.971 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.9704 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.9702 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.9701 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.9695 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.9685 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.9682 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=300 | +| 0.9682 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.968 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9679 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1, n_estimators=300 | +| 0.9655 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.9655 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.9654 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.9653 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.965 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.9646 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.9644 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.9643 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.9643 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.9642 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1, n_estimators=300 | +| 0.964 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.9639 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.9636 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1, n_estimators=500 | +| 0.9627 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.9622 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.9622 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.962 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.9619 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| 0.9618 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.9613 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=100 | +| 0.9585 | max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1, n_estimators=100 | +| 0.957 | max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1, n_estimators=100 | +| 0.957 | max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1, n_estimators=100 | +| 0.9564 | max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1, n_estimators=100 | +| 0.9564 | max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1, n_estimators=100 | +| 0.9559 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.9513 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=100 | +| 0.9502 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.9502 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.9496 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.9494 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.9494 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=100 | +| 0.9493 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=300 | +| 0.9471 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.947 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=500 | +| 0.9469 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.9467 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.9459 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.9451 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.9446 | max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.9445 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.9443 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.9437 | max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.9436 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.9421 | max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.9414 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.9413 | max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.9407 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.9405 | max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.9382 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.9379 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=700 | +| 0.9372 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.937 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.9363 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.9362 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.935 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.9349 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.9345 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=100 | +| 0.934 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.9336 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.9325 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=700 | +| 0.9323 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.9321 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=100 | +| 0.9317 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.9315 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.9315 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.9312 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.9308 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.9308 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.9308 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.9304 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.9304 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.9301 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.93 | max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.9298 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.9296 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.9289 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.9288 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.9285 | max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.9285 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7, n_estimators=500 | +| 0.928 | max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.928 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.9275 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.9272 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.9266 | max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.9256 | max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.9045 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=700 | +| 0.9027 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=100 | +| 0.8937 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=100 | +| 0.8908 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=500 | +| 0.8898 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=100 | +| 0.8771 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=100 | +| 0.8758 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=500 | +| 0.8686 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=700 | +| 0.8643 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=100 | +| 0.8592 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=700 | +| 0.8521 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=100 | +| 0.8518 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1, n_estimators=300 | +| 0.8508 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=300 | +| 0.8492 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1, n_estimators=500 | +| 0.8405 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=500 | +| 0.8396 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1, n_estimators=700 | +| 0.8358 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=300 | +| 0.8331 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=500 | +| 0.8328 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=100 | +| 0.831 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3, n_estimators=300 | +| 0.8301 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=300 | +| 0.821 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=300 | +| 0.8181 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=500 | +| 0.8155 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=300 | +| 0.8117 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=100 | +| 0.8096 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=700 | +| 0.8094 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=100 | +| 0.8084 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=500 | +| 0.8057 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=700 | +| 0.8055 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3, n_estimators=300 | +| 0.8042 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=300 | +| 0.7995 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=500 | +| 0.7994 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=300 | +| 0.7986 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=100 | +| 0.7982 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=300 | +| 0.796 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7, n_estimators=300 | +| 0.7938 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=500 | +| 0.7899 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=300 | +| 0.7886 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=300 | +| 0.7857 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=700 | +| 0.7788 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=100 | +| 0.7691 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1, n_estimators=700 | +| 0.7689 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=300 | +| 0.7664 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=700 | +| 0.7637 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=500 | +| 0.7571 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=500 | +| 0.7516 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7, n_estimators=500 | +| 0.746 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5, n_estimators=300 | +| 0.7442 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7, n_estimators=700 | +| 0.7365 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5, n_estimators=700 | +| 0.7344 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7, n_estimators=700 | +| 0.7286 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7, n_estimators=700 | +| 0.7238 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=500 | +| 0.72 | max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5, n_estimators=500 | +| 0.7157 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=500 | +| 0.6926 | max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3, n_estimators=700 | +| 0.6819 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3, n_estimators=700 | +| 0.6802 | max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3, n_estimators=700 | +| 0.6675 | max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5, n_estimators=500 | +| 0.6467 | max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5, n_estimators=700 | ## LogisticRegression | roc_auc.labels.false | params | |-----------------------:|:--------------------| -| 0.9732 | C=1, penalty="l1" | -| 0.9709 | C=0.1, penalty="l1" | -| 0.8653 | C=0.1, penalty="l2" | -| 0.8639 | C=1, penalty="l2" | -| 0.8583 | C=10, penalty="l2" | - -## GaussianNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.9289 | | +| 0.9375 | C=10, penalty="l2" | +| 0.9361 | C=1, penalty="l2" | +| 0.9349 | C=0.1, penalty="l2" | -## BernoulliNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.9435 | | +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9814 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=640 | +| 0.9812 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=640 | +| 0.9812 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=640 | +| 0.981 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | +| 0.9808 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | +| 0.9807 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | +| 0.9805 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=640 | +| 0.9805 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | +| 0.9802 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=320 | +| 0.9802 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | +| 0.9801 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | +| 0.9799 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | +| 0.9798 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=640 | +| 0.9798 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | +| 0.9797 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | +| 0.9796 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | +| 0.9795 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=640 | +| 0.9794 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=640 | +| 0.9792 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | +| 0.979 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | +| 0.9786 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | +| 0.9785 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=640 | +| 0.9784 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | +| 0.9784 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=320 | +| 0.9783 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | +| 0.9782 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | +| 0.978 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=640 | +| 0.9775 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | +| 0.9775 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=320 | +| 0.9767 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | +| 0.9765 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | +| 0.9763 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | +| 0.9759 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | +| 0.9759 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=640 | +| 0.9758 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | +| 0.9754 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | +| 0.9753 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | +| 0.9745 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | +| 0.9742 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | +| 0.9742 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | +| 0.9741 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | +| 0.9737 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | +| 0.9735 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | +| 0.9734 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | +| 0.9733 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | +| 0.9733 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | +| 0.9732 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | +| 0.9732 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | +| 0.9723 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | +| 0.9694 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | +| 0.9678 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | +| 0.9673 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | +| 0.9669 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | +| 0.9668 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | +| 0.9666 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | +| 0.9663 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | +| 0.9656 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | +| 0.9649 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | +| 0.9647 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | +| 0.9635 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | +| 0.9621 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | +| 0.9605 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | +| 0.9593 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | +| 0.9554 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | +| 0.9547 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | +| 0.9535 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | +| 0.9519 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | +| 0.9489 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | +| 0.9267 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | +| 0.9252 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | diff --git a/tuning_reports/cswiki.damaging.md b/tuning_reports/cswiki.damaging.md index 5bfd9efd..553db4ae 100644 --- a/tuning_reports/cswiki.damaging.md +++ b/tuning_reports/cswiki.damaging.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.cswiki.damaging -- Date: 2017-09-02T23:27:41.658991 -- Observations: 19830 +- Date: 2021-01-28T04:54:48.217550 +- Observations: 17743 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9642 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.964 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.964 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9638 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | -| GradientBoosting | 0.9631 | max_depth=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| RandomForestClassifier | 0.963 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9629 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9627 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9627 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9624 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9183 | learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=7, max_features="log2" | +| RandomForestClassifier | 0.9181 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| GradientBoosting | 0.918 | learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=7, max_features="log2" | +| RandomForestClassifier | 0.918 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9179 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| GradientBoosting | 0.9179 | learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_depth=7, max_features="log2" | +| RandomForestClassifier | 0.9173 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| GradientBoosting | 0.9172 | learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=5, max_features="log2" | +| GradientBoosting | 0.9171 | learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=5, max_features="log2" | +| GradientBoosting | 0.9171 | learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=7, max_features="log2" | # Models +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8143 | penalty="l2", C=0.1 | +| 0.8126 | penalty="l2", C=10 | +| 0.8111 | penalty="l2", C=1 | + ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.7948 | | +| 0.7884 | | ## GaussianNB -| roc_auc.labels.true | params | -|| - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9631 | max_depth=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9622 | max_depth=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9619 | max_depth=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9619 | max_depth=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9619 | max_depth=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9613 | max_depth=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9596 | max_depth=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9594 | max_depth=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9587 | max_depth=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9568 | max_depth=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9563 | max_depth=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9557 | max_depth=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9548 | max_depth=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9543 | max_depth=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9542 | max_depth=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.954 | max_depth=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9526 | max_depth=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9519 | max_depth=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9519 | max_depth=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9515 | max_depth=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9508 | max_depth=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9499 | max_depth=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9494 | max_depth=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9492 | max_depth=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9484 | max_depth=3, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.9482 | max_depth=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9477 | max_depth=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9468 | max_depth=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9461 | max_depth=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9448 | max_depth=7, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.9447 | max_depth=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9441 | max_depth=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.944 | max_depth=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.9439 | max_depth=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.9435 | max_depth=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.9435 | max_depth=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9417 | max_depth=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9409 | max_depth=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9392 | max_depth=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9359 | max_depth=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9349 | max_depth=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.9345 | max_depth=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.9335 | max_depth=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9335 | max_depth=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9325 | max_depth=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.9305 | max_depth=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.93 | max_depth=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9286 | max_depth=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9234 | max_depth=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9231 | max_depth=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9228 | max_depth=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9201 | max_depth=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9192 | max_depth=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9191 | max_depth=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9138 | max_depth=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.907 | max_depth=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.8999 | max_depth=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.8989 | max_depth=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.8975 | max_depth=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.8912 | max_depth=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.8601 | max_depth=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.8515 | max_depth=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.8331 | max_depth=7, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.6601 | max_depth=3, learning_rate=1, n_estimators=700, max_features="log2" | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8973 | penalty="l1", C=10 | -| 0.8972 | penalty="l1", C=1 | -| 0.8939 | penalty="l1", C=0.1 | -| 0.8179 | penalty="l2", C=0.1 | -| 0.8175 | penalty="l2", C=10 | -| 0.816 | penalty="l2", C=1 | +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.59 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9642 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | -| 0.964 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.964 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9638 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.963 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9629 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9627 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9627 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9624 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | -| 0.962 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9618 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9617 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9617 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9615 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9614 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9612 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9608 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9607 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9607 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9605 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9604 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9598 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9595 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9594 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | -| 0.959 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9585 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9582 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9577 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9574 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.957 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.957 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9569 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9567 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9565 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9565 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9558 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9558 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9555 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9549 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9548 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9546 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9545 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9541 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9537 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.953 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9525 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9521 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.952 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9518 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9518 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9505 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9502 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9498 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9497 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9482 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | -| 0.946 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9454 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9447 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9411 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9305 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.9181 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.918 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9179 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9173 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9169 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9166 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9158 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9151 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9146 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9145 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9142 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9141 | n_estimators=640, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9129 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9127 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9122 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9122 | n_estimators=640, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9122 | n_estimators=640, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9117 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9116 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9115 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9115 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9113 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9109 | n_estimators=640, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9105 | n_estimators=640, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9104 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9097 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9097 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9096 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9092 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.909 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.909 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9087 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9077 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.907 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9067 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9067 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9065 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9065 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9061 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9059 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9047 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9035 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9034 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9029 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9028 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9026 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9017 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9017 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9008 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9007 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.8971 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.8965 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.8951 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.8913 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.8911 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.8897 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.8885 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.8881 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.8857 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.8856 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.8839 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.8833 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.8812 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.8759 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.8728 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.8657 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.863 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.862 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.8308 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.8282 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9183 | learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.918 | learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.9179 | learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.9172 | learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.9171 | learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.9171 | learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.9169 | learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.9168 | learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.9163 | learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.9161 | learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.9161 | learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.916 | learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.9159 | learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.9158 | learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.9155 | learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.9155 | learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.9155 | learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.9154 | learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.9151 | learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.9147 | learning_rate=0.01, n_estimators=300, 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0.9067 | learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.9065 | learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.9065 | learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.9065 | learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.9064 | learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.9063 | learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.9061 | learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.9061 | learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.906 | learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.906 | learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.9059 | learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.9055 | learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.9055 | learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.9055 | learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.9055 | learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.9054 | learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.9054 | learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.9053 | learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.9049 | learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.9047 | learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.9046 | learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.9046 | learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.9045 | learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.9043 | learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.904 | learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.904 | learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.9037 | learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.9037 | learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.9037 | learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.9036 | learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.9034 | learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.9031 | learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.9025 | learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.9024 | learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.9023 | learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.902 | learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.9019 | learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.9017 | learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.9016 | learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.9016 | learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.9015 | learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.9012 | learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.9009 | learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.9009 | learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.9007 | learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.9006 | learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.9003 | learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.9 | learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.9 | learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.8982 | learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8982 | learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.8977 | learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8976 | learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8965 | learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.8964 | learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.896 | learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.8956 | learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8954 | learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8952 | learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8951 | learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8948 | learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8946 | learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8946 | learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8942 | learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.8936 | learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.8933 | learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.8932 | learning_rate=0.01, n_estimators=700, min_samples_leaf=1, 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learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8922 | learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.8922 | learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.8921 | learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8917 | learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8916 | learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8915 | learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8906 | learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.8903 | learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.89 | learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.89 | learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8899 | learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.8898 | learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.8891 | learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8886 | learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8883 | learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.8879 | learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8865 | learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8855 | learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8855 | learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8855 | learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8855 | learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8855 | learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8847 | learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8825 | learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.8819 | learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.8815 | learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8805 | learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.8793 | learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8792 | learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.8791 | learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8786 | learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.8784 | learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.8783 | learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.878 | learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8777 | learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.8768 | learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8764 | learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.8759 | learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8752 | learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8751 | learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.8721 | learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.8716 | learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.8715 | learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8715 | learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8714 | learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8709 | learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.8703 | learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8701 | learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8699 | learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8692 | learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8684 | learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8682 | learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8681 | learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.8675 | learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.8675 | learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.8661 | learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8659 | learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.8655 | learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.8631 | learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.863 | learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.8623 | learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.8621 | learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.8589 | learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.8555 | learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.8555 | learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_depth=1, max_features="log2" | +| 0.8555 | learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_depth=1, max_features="log2" | +| 0.855 | learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_depth=1, max_features="log2" | +| 0.855 | learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_depth=1, max_features="log2" | +| 0.8545 | learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_depth=1, max_features="log2" | +| 0.8538 | learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.8513 | learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.8506 | learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.8494 | learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.8494 | learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.8483 | learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.847 | learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.846 | learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.8445 | learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.844 | learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.8428 | learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.8424 | learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.839 | learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.8376 | learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.8369 | learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.8341 | learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.8341 | learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.8336 | learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.8331 | learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.8324 | learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.8295 | learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.8269 | learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.8251 | learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.8219 | learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.8214 | learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.82 | learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.8195 | learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.8187 | learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.8178 | learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.817 | learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.8169 | learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.8166 | learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.8149 | learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.8148 | learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.8143 | learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.8134 | learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.8132 | learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.8129 | learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.8128 | learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.8122 | learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.8113 | learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.8106 | learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.8097 | learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.8095 | learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.8089 | learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.8087 | learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.8087 | learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.8085 | learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.8081 | learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.8072 | learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.8059 | learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.8058 | learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.8055 | learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.8047 | learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.8042 | learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.8018 | learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.801 | learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.8003 | learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.7998 | learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.7989 | learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.7987 | learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.798 | learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.7974 | learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.7938 | learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.7927 | learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=3, max_features="log2" | +| 0.7922 | learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.7894 | learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.7866 | learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.7856 | learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.7825 | learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.7821 | learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.7816 | learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=3, max_features="log2" | +| 0.7811 | learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.7774 | learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.7753 | learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.7747 | learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=7, max_features="log2" | +| 0.7735 | learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.7729 | learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=3, max_features="log2" | +| 0.7717 | learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.7703 | learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.7698 | learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.7698 | learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.7687 | learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.7657 | learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.7645 | learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.7614 | learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=3, max_features="log2" | +| 0.76 | learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.7595 | learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.7584 | learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=7, max_features="log2" | +| 0.7579 | learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.7502 | learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.75 | learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=5, max_features="log2" | +| 0.7498 | learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.7473 | learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.7444 | learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=5, max_features="log2" | +| 0.7416 | learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=3, max_features="log2" | +| 0.7334 | learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.7219 | learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=7, max_features="log2" | +| 0.7195 | learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.7165 | learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=5, max_features="log2" | +| 0.6996 | learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.6948 | learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=7, max_features="log2" | +| 0.6936 | learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=5, max_features="log2" | +| 0.6837 | learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=5, max_features="log2" | +| 0.6807 | learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.6794 | learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=7, max_features="log2" | +| 0.6736 | learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=5, max_features="log2" | diff --git a/tuning_reports/cswiki.goodfaith.md b/tuning_reports/cswiki.goodfaith.md index 7d657f72..d16d447b 100644 --- a/tuning_reports/cswiki.goodfaith.md +++ b/tuning_reports/cswiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.cswiki.goodfaith -- Date: 2017-09-03T03:12:49.416960 -- Observations: 19830 +- Date: 2021-01-28T05:20:39.154870 +- Observations: 17743 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9779 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=160 | -| RandomForestClassifier | 0.9774 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=320 | -| RandomForestClassifier | 0.9769 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=160 | -| RandomForestClassifier | 0.9758 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=160 | -| RandomForestClassifier | 0.9758 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=320 | -| RandomForestClassifier | 0.9743 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=80 | -| RandomForestClassifier | 0.9741 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=320 | -| RandomForestClassifier | 0.9741 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=80 | -| RandomForestClassifier | 0.9736 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=160 | -| RandomForestClassifier | 0.9734 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=40 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------| +| RandomForestClassifier | 0.967 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | +| RandomForestClassifier | 0.9653 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9647 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9639 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | +| RandomForestClassifier | 0.9633 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9632 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9632 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9631 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9631 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9624 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | # Models -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9779 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=160 | -| 0.9774 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=320 | -| 0.9769 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=160 | -| 0.9758 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=160 | -| 0.9758 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=320 | -| 0.9743 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=80 | -| 0.9741 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=320 | -| 0.9741 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=80 | -| 0.9736 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=160 | -| 0.9734 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=40 | -| 0.9732 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=160 | -| 0.9732 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=80 | -| 0.9732 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=80 | -| 0.973 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=80 | -| 0.9725 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=40 | -| 0.9724 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=40 | -| 0.9723 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=20 | -| 0.9722 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=320 | -| 0.9721 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=80 | -| 0.9721 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=40 | -| 0.9721 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=80 | -| 0.9719 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=160 | -| 0.9719 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=320 | -| 0.9716 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=20 | -| 0.9716 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=320 | -| 0.9716 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=20 | -| 0.9716 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=160 | -| 0.9715 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=40 | -| 0.9714 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=320 | -| 0.9714 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=80 | -| 0.9713 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=320 | -| 0.9712 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=40 | -| 0.9712 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=80 | -| 0.9712 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=160 | -| 0.9711 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=40 | -| 0.971 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=20 | -| 0.9704 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=20 | -| 0.9703 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=20 | -| 0.9701 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=320 | -| 0.9698 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=40 | -| 0.9697 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=160 | -| 0.9692 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=40 | -| 0.9684 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=320 | -| 0.9683 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=10 | -| 0.9682 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=10 | -| 0.9677 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=80 | -| 0.9676 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=20 | -| 0.9671 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=10 | -| 0.9671 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=10 | -| 0.9668 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=160 | -| 0.9651 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=20 | -| 0.965 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=10 | -| 0.9648 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=10 | -| 0.9644 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=40 | -| 0.9616 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=20 | -| 0.9613 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=10 | -| 0.9601 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=20 | -| 0.9591 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=10 | -| 0.9589 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=10 | -| 0.9578 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=10 | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9571 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.957 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9568 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9566 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9565 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9564 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9564 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9563 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9561 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9556 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9551 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9551 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9546 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9546 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9545 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9541 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9541 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.954 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.954 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.954 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9538 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9538 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9537 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9535 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9535 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9535 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9534 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9534 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9534 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9534 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9533 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9532 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9532 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.953 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.953 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.953 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.953 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9529 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9528 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9528 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9527 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9527 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9526 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9526 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9524 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9522 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9522 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9521 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9518 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9516 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9515 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9514 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9513 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9511 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9509 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9504 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.95 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9499 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9498 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9498 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9496 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9495 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9494 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9494 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9492 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9491 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9488 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9487 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9487 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9486 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9485 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9484 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9483 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9483 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9482 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9482 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9482 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9481 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9481 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.948 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9479 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9471 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.947 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.947 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9469 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9468 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9467 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9467 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9466 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9466 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9464 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9464 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9459 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9458 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9457 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9457 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9456 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.945 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.945 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.945 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9447 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9447 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9445 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9445 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9444 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9437 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9434 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9433 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.943 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9429 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9427 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9421 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9419 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9419 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9418 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9415 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9412 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9412 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9411 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9411 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.941 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9407 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9407 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9405 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9404 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9404 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9404 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9403 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.94 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9399 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9398 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9391 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9387 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9379 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9377 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9377 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9376 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9375 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9375 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9374 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9374 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.937 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9367 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9366 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9365 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9351 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9347 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9347 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9343 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9334 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9325 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9324 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9324 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9314 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9293 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9293 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.929 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.9288 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9283 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9278 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.9277 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9269 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9253 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.9246 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9241 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9219 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9219 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9198 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.9191 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9179 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9171 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9167 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.9154 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9145 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9143 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9096 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.9095 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9083 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.9078 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.9071 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.907 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9048 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.9046 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.9044 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9028 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9025 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8992 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8984 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8982 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8981 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8962 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8961 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8959 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8958 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8956 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8949 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8948 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8943 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.894 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8936 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8914 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.891 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.891 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8906 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8901 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8862 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8861 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8855 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8852 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8837 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8836 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8812 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8791 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8771 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8767 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8764 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8763 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8763 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8759 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8759 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8742 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8717 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8717 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8715 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.871 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8701 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.869 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8689 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8688 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8673 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8668 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8667 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8665 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8662 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8661 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8661 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8661 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.865 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8645 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8645 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.862 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8619 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8613 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8596 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8587 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8586 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8584 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8582 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8577 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8564 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8542 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8499 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8491 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.849 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8476 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8404 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8361 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8344 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8258 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8243 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8185 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8124 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8097 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8069 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8057 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8037 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8019 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7968 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7962 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.7916 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7845 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7841 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7824 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7798 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7709 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7688 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7664 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7662 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7635 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7625 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7624 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7622 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7575 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7571 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7554 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7496 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7406 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7396 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.735 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7217 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7214 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7195 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7149 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7142 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7113 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7076 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.705 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7048 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7041 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7022 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.6865 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.6818 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.6786 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.6783 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.6756 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.6709 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.6684 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.6664 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.6651 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.6609 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.6607 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.6606 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.6587 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.646 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.6403 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.635 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.6344 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.6183 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.5768 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8636 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8849 | | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9353 | penalty="l1", C=1 | -| 0.931 | penalty="l1", C=10 | -| 0.9179 | penalty="l1", C=0.1 | -| 0.865 | penalty="l2", C=0.1 | -| 0.8638 | penalty="l2", C=1 | -| 0.8539 | penalty="l2", C=10 | +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.967 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9653 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9647 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9639 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9633 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9632 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9632 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9631 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9631 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9624 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9622 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9622 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.962 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9618 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9616 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9615 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9614 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.961 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9608 | n_estimators=640, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9605 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9604 | n_estimators=640, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9604 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9603 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9603 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9599 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9599 | n_estimators=640, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9594 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9594 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9594 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9592 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.959 | n_estimators=640, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9589 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9589 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9585 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9584 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.958 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9577 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9577 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9574 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.957 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.957 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9566 | n_estimators=640, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9562 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9551 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9542 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9541 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9539 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9534 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9533 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9531 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9531 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9525 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9519 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9519 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9514 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9491 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.948 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9443 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9436 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9432 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.943 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9405 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9375 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9267 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9234 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9149 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9065 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9004 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.8901 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.868 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.6035 | | -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9727 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9725 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | -| 0.972 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9716 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9714 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9712 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9711 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | -| 0.971 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9705 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9702 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9702 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9699 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9699 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9699 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9699 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9691 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | -| 0.969 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9689 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9686 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9685 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9684 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9682 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9673 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9672 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | -| 0.967 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9667 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9666 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9663 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9663 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9642 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9634 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9629 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9627 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9625 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9616 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9612 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9595 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9593 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9592 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9592 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9586 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | -| 0.958 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9565 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9564 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | -| 0.955 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9543 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9536 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9533 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9533 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9532 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | -| 0.953 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9529 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9496 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9456 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9398 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9365 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9328 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9288 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9222 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9105 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9077 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | -| 0.8877 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | -| 0.8169 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | -| 0.7653 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8876 | C=10, penalty="l2" | +| 0.8849 | C=0.1, penalty="l2" | +| 0.8822 | C=1, penalty="l2" | diff --git a/tuning_reports/dewiki.damaging.md b/tuning_reports/dewiki.damaging.md index 43c561e9..10de3355 100644 --- a/tuning_reports/dewiki.damaging.md +++ b/tuning_reports/dewiki.damaging.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.dewiki.damaging -- Date: 2018-12-16T18:54:09.094300 -- Observations: 18692 +- Date: 2021-01-28T05:45:05.091481 +- Observations: 18230 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9363 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=3 | -| GradientBoosting | 0.9356 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=1 | -| GradientBoosting | 0.9356 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=3 | -| GradientBoosting | 0.9355 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=1 | -| GradientBoosting | 0.9354 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=1 | -| GradientBoosting | 0.935 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=3 | -| GradientBoosting | 0.9341 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=5 | -| GradientBoosting | 0.9339 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=5 | -| GradientBoosting | 0.9336 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=5 | -| RandomForestClassifier | 0.9326 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9335 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | +| GradientBoosting | 0.9334 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| RandomForestClassifier | 0.9334 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| GradientBoosting | 0.9329 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5 | +| GradientBoosting | 0.9328 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| GradientBoosting | 0.9328 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | +| GradientBoosting | 0.9327 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| GradientBoosting | 0.9327 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3 | +| GradientBoosting | 0.9327 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1 | +| GradientBoosting | 0.9326 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5 | # Models ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9363 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=3 | -| 0.9356 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=1 | -| 0.9356 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=3 | -| 0.9355 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=1 | -| 0.9354 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=1 | -| 0.935 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=3 | -| 0.9341 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=5 | -| 0.9339 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=5 | -| 0.9336 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=5 | -| 0.9326 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=7 | -| 0.9321 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=5 | -| 0.9321 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=7 | -| 0.9316 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=3 | -| 0.9314 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=7 | -| 0.9311 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=1 | -| 0.931 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=7 | -| 0.9303 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=3 | -| 0.9302 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=1 | -| 0.929 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=1 | -| 0.9281 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=1 | -| 0.928 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=5 | -| 0.927 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=1 | -| 0.927 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=1 | -| 0.9265 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=7 | -| 0.9252 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=3 | -| 0.9248 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=3 | -| 0.9248 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=1 | -| 0.9245 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=1 | -| 0.9212 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=3 | -| 0.919 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=1 | -| 0.9188 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=1 | -| 0.9182 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=1 | -| 0.9176 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=5 | -| 0.9146 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=3 | -| 0.9118 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=5 | -| 0.9113 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=1 | -| 0.9108 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=5 | -| 0.9081 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=7 | -| 0.9016 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=1 | -| 0.8936 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=3 | -| 0.8904 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=5 | -| 0.8813 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=3 | -| 0.8806 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=3 | -| 0.8681 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=3 | -| 0.8678 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=7 | -| 0.8472 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=7 | -| 0.8471 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=7 | -| 0.8368 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=5 | -| 0.8358 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=5 | -| 0.83 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=5 | -| 0.8291 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=7 | -| 0.8285 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=5 | -| 0.8267 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=7 | -| 0.823 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=3 | -| 0.8229 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=7 | -| 0.8105 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=5 | -| 0.8087 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=7 | -| 0.8073 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=7 | -| 0.8067 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=3 | -| 0.8031 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=7 | -| 0.7995 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=5 | -| 0.7976 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=5 | -| 0.794 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=3 | -| 0.7908 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=7 | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9326 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.9315 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.9304 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.9303 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.93 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.93 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.9299 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9298 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.9296 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.9287 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.9285 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9284 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.9281 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.9281 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9278 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.9278 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.9275 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.9274 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.927 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.927 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.9268 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9266 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9264 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.9263 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.9262 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.9261 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.9261 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.9259 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.9255 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9251 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.9246 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.9245 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9244 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.9243 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9238 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.9237 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.9234 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.9228 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.9226 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.9223 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.9214 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.9213 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.9207 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.9199 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.9198 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.9197 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.9184 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.9178 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.9158 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.9157 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.9152 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.915 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.915 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.9149 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.9148 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.9097 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.9091 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.9089 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.9074 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.9045 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.9037 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.9034 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8987 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8976 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8937 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8902 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8858 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.8774 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.8411 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.8361 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9335 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9334 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9329 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9328 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9328 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9327 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9327 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9327 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9326 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9326 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9326 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9326 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9326 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9325 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=7 | +| 0.9325 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9325 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9324 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9324 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9323 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9321 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9321 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9321 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | +| 0.932 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5 | +| 0.932 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9319 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9319 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9318 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9317 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9316 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9316 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9315 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9315 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9315 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9314 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9314 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9313 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9312 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9312 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9312 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9312 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9311 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9311 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9311 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3 | +| 0.931 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3 | +| 0.931 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=7 | +| 0.9309 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9309 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9309 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9309 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9309 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9307 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=7 | +| 0.9306 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9306 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9305 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9305 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=7 | +| 0.9305 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9303 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9303 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9303 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9302 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9302 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9301 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9301 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=7 | +| 0.93 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9298 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9298 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9297 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=7 | +| 0.9297 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=7 | +| 0.9296 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9295 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=7 | +| 0.9295 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=7 | +| 0.9293 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9292 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9292 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9291 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9291 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=7 | +| 0.9288 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9287 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9286 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9285 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9285 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9284 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9279 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9278 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9276 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9274 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9273 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9272 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=1 | +| 0.927 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9268 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9268 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9267 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9263 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9263 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9263 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9263 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9262 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9262 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.926 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.926 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9259 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9257 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9257 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9256 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9254 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9254 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9251 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9249 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9248 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9248 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9245 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9244 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9243 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9241 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=3 | +| 0.924 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.924 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9239 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9239 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9237 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.9237 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9234 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9231 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=1 | +| 0.923 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=1 | +| 0.923 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=1 | +| 0.923 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9228 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9226 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9225 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9225 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9224 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9223 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9221 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9221 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9219 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9217 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9217 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9217 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9214 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9214 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9214 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9214 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9211 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=1 | +| 0.921 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.9204 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9199 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9193 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9191 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9191 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9188 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9188 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.9187 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9187 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9181 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9179 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9178 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9168 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9166 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9163 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9163 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9162 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9159 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.9158 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9154 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9153 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9148 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.9148 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9145 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9141 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9139 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9134 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.913 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=1 | +| 0.9125 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9117 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9114 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9113 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9113 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9112 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9111 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9108 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9106 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9102 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=500, max_depth=1 | +| 0.9102 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9099 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.9098 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=3 | +| 0.9097 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.909 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=1 | +| 0.909 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9086 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9081 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9079 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.9079 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.9075 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5 | +| 0.9072 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9064 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=1 | +| 0.9056 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=700, max_depth=1 | +| 0.903 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5 | +| 0.903 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=3 | +| 0.9026 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=3 | +| 0.901 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8988 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8983 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8982 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=1 | +| 0.898 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5 | +| 0.898 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5 | +| 0.8979 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5 | +| 0.8959 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8943 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.8881 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.8858 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8858 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8848 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8845 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8823 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8819 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.8814 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.8802 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8776 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8771 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3 | +| 0.8769 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=100, max_depth=3 | +| 0.8764 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3 | +| 0.8758 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3 | +| 0.8753 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3 | +| 0.8731 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3 | +| 0.872 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8711 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8694 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8688 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8616 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8598 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8586 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8575 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8574 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8567 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8552 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8542 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8531 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8519 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7 | +| 0.8514 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8513 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8466 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8466 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8452 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.8448 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7 | +| 0.8443 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8429 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7 | +| 0.8417 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8414 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5 | +| 0.8403 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8399 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8396 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7 | +| 0.8388 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5 | +| 0.8387 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8385 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8382 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5 | +| 0.838 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.838 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8379 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.8376 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8374 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5 | +| 0.8374 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5 | +| 0.8372 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8369 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5 | +| 0.8367 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8366 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8363 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8361 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8356 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5 | +| 0.8349 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8343 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5 | +| 0.8338 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5 | +| 0.8333 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.8324 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8316 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8312 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7 | +| 0.83 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8272 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5 | +| 0.8252 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=300, max_depth=3 | +| 0.8222 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8218 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.8201 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8172 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8162 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8144 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=100, max_depth=5 | +| 0.8144 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8142 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.8138 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.8127 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.8126 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.8125 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.8125 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8123 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.8116 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.8103 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.8103 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.8071 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.806 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.8056 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.8051 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=500, max_depth=3 | +| 0.804 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.8006 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.7981 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.7961 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.7957 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.7917 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.7894 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.7838 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.7834 | min_samples_leaf=1, learning_rate=1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.783 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.7825 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.7777 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.7756 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.7695 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=100, max_depth=7 | +| 0.7679 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=500, max_depth=7 | +| 0.7599 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=700, max_depth=5 | +| 0.748 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=300, max_depth=5 | +| 0.7428 | min_samples_leaf=3, learning_rate=1, max_features="log2", n_estimators=500, max_depth=5 | +| 0.7281 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=700, max_depth=7 | +| 0.7252 | min_samples_leaf=13, learning_rate=1, max_features="log2", n_estimators=300, max_depth=7 | +| 0.7125 | min_samples_leaf=5, learning_rate=1, max_features="log2", n_estimators=700, max_depth=3 | +| 0.6993 | min_samples_leaf=7, learning_rate=1, max_features="log2", n_estimators=300, max_depth=5 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9235 | C=10, penalty="l1" | -| 0.9226 | C=1, penalty="l1" | -| 0.9169 | C=0.1, penalty="l1" | -| 0.382 | C=1, penalty="l2" | -| 0.3812 | C=0.1, penalty="l2" | -| 0.36 | C=10, penalty="l2" | +| 0.8214 | C=1, penalty="l2" | +| 0.8128 | C=10, penalty="l2" | +| 0.8099 | C=0.1, penalty="l2" | ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8389 | | +| 0.8558 | | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8353 | | +| 0.8345 | | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9334 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9321 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9314 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9313 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9312 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.93 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9297 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9293 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9288 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9287 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9287 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9285 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9284 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9283 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9283 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9282 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9279 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9274 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9274 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9273 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9273 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9273 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9272 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9272 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9271 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9267 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9266 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9263 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9263 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.926 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9251 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9243 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.924 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9239 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.9238 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9237 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9236 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9232 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9226 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9225 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9222 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9213 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9209 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9203 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9202 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9194 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9166 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9166 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9156 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.9154 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9152 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.915 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.9144 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9131 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9129 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.9124 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.9079 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9057 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9036 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9034 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.902 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.9009 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.9002 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.8991 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.8981 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.8936 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.8813 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.8801 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.8663 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=1 | +| 0.8421 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=1 | diff --git a/tuning_reports/dewiki.goodfaith.md b/tuning_reports/dewiki.goodfaith.md index ad17da11..ac783b32 100644 --- a/tuning_reports/dewiki.goodfaith.md +++ b/tuning_reports/dewiki.goodfaith.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.dewiki.goodfaith -- Date: 2018-12-16T20:13:33.278859 -- Observations: 18692 +- Date: 2021-01-28T06:12:08.935669 +- Observations: 18230 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GradientBoosting | 0.9798 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | -| GradientBoosting | 0.9798 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | -| GradientBoosting | 0.9793 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | -| GradientBoosting | 0.9792 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | -| GradientBoosting | 0.9792 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | -| GradientBoosting | 0.979 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | -| GradientBoosting | 0.9788 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | -| GradientBoosting | 0.9787 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | -| GradientBoosting | 0.9787 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | -| GradientBoosting | 0.9787 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.951 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9506 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9506 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9505 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9505 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9501 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9499 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9498 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9496 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9495 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | # Models -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9687 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9651 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9636 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.962 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9562 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9555 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.955 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9549 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9547 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9544 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9543 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9541 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9541 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9539 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9534 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9534 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9532 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9531 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9531 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9531 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.953 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9529 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9529 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9527 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9527 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9526 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9525 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9525 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9523 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9523 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9523 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9522 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9521 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9519 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9518 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9518 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9517 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9517 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9515 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9513 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9513 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.951 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9509 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9509 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9509 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9508 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9508 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9507 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9506 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9506 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9505 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9505 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9503 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9503 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9502 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9501 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.95 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.95 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.95 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9499 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9499 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9499 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9498 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9497 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9492 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9491 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9491 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9488 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9483 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9465 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="gini" | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8385 | penalty="l2", C=1 | +| 0.8148 | penalty="l2", C=0.1 | +| 0.8128 | penalty="l2", C=10 | ## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9171 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8956 | | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9446 | penalty="l1", C=10 | -| 0.9407 | penalty="l1", C=1 | -| 0.9324 | penalty="l1", C=0.1 | -| 0.5957 | penalty="l2", C=0.1 | -| 0.5199 | penalty="l2", C=1 | -| 0.5089 | penalty="l2", C=10 | +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9495 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9487 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9485 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9481 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="gini" | +| 0.948 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.948 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9479 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9479 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9477 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9477 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9474 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9473 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9471 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9468 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9467 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9465 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9465 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9464 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9463 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9463 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9459 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9459 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9453 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9452 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9449 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9448 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9446 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9444 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9443 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="gini" | +| 0.944 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="gini" | +| 0.944 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9438 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9436 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9431 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9429 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9419 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9415 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9409 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9405 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9394 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9394 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9384 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="gini" | +| 0.938 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9379 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9376 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9369 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9367 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9354 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9349 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9344 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9341 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9336 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9309 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9307 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9285 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9244 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9242 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9237 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9228 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9228 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9221 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9167 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9134 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9107 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9039 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="gini" | +| 0.8936 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.8914 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="gini" | +| 0.8902 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.8678 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="gini" | +| 0.8527 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="entropy" | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9009 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8755 | | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9798 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9798 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9793 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9792 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | -| 0.9792 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.979 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9788 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | -| 0.9787 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | -| 0.9787 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9787 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9778 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9778 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9769 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | -| 0.9769 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9769 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | -| 0.9767 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | -| 0.9728 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | -| 0.9703 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | -| 0.97 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9699 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9666 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | -| 0.9649 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9619 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.959 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.954 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9532 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9531 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9527 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9523 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9517 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9517 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9508 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9504 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9501 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9501 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.95 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9499 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9495 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9489 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9489 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9488 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9484 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9482 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | -| 0.9479 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9466 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9466 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9463 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9463 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9458 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9456 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.945 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9441 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9428 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9419 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9409 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9393 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9378 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | -| 0.9374 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9352 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9305 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9302 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9297 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | -| 0.925 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.8659 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.951 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9506 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9506 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9505 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9505 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9501 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9499 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9498 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9496 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9495 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9495 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9493 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9493 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9493 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9491 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9491 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.949 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.949 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9489 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9488 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9488 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9488 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9487 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9487 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9487 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9486 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9486 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9485 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9485 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9485 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9484 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9484 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9482 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9482 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9482 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9482 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9481 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.948 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.948 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.948 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.948 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.948 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9479 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9479 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9479 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9477 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9477 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9477 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9477 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9477 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9476 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9476 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9475 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9475 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9475 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9474 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9473 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9472 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.947 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9469 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9469 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9469 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9469 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9468 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9467 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9467 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9466 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9465 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9463 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9463 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9462 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9461 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9461 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9461 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.946 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.946 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9458 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9457 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9457 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9454 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9454 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9454 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9451 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9449 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9448 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9447 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9446 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9446 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9444 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9443 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9443 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9442 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9441 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9441 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.944 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9439 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9438 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9437 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9436 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9436 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9436 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9436 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9434 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9434 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9434 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9433 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9432 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.943 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9429 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9429 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9429 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9427 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9426 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9426 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9425 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9423 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.9422 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9422 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9422 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9422 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9419 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9419 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9415 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9415 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9406 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9404 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9404 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9403 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9403 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9401 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9401 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.94 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.94 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9399 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9399 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9396 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9395 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9391 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9391 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9389 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9387 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9386 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9383 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9383 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9383 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9378 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9378 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9369 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9368 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9367 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9364 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9358 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9355 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9343 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.9343 | n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.9336 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.9334 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.9331 | n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.9329 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9312 | n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.9305 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9303 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9303 | n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9296 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9293 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9292 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9291 | n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.9285 | n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.9281 | n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.928 | n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9277 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9277 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9269 | n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.9267 | n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.9266 | n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.9259 | n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.9258 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9258 | n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.9256 | n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.9251 | n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.9247 | n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9247 | n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9241 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9241 | n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.923 | n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.9224 | n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.9204 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9191 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9189 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9183 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9156 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.9147 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9117 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9115 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9109 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9105 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9098 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.9074 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.907 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.906 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9055 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.9046 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9029 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9018 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9017 | n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.9 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8972 | n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8858 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8851 | n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8829 | n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8816 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8812 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.88 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8799 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8767 | n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8729 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8715 | n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8691 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8679 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8666 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8664 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8651 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8638 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8638 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.863 | n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8624 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8623 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.861 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8592 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8574 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8568 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8567 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8566 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8565 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8553 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.855 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.855 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8545 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8544 | n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.854 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8534 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8532 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8531 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8528 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8513 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8511 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8503 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8502 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8489 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8482 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.848 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8478 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8477 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8476 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8467 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8451 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8449 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8445 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8445 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8437 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8436 | n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8428 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8425 | n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8425 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8415 | n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8406 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.84 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8399 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8398 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8389 | n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8377 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8372 | n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8366 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.835 | n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8336 | n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8331 | n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.833 | n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8321 | n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8305 | n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8302 | n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8292 | n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8288 | n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8252 | n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8237 | n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8229 | n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8207 | n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8194 | n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8194 | n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8193 | n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8186 | n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8183 | n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8177 | n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8169 | n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.815 | n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8149 | n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8144 | n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.814 | n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8122 | n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8106 | n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8077 | n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8067 | n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8011 | n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7904 | n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7855 | n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7843 | n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7839 | n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7822 | n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7806 | n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7775 | n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7761 | n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7681 | n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7666 | n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7649 | n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.763 | n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7585 | n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7562 | n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7502 | n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7294 | n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.6982 | n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.6737 | n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2", learning_rate=1 | diff --git a/tuning_reports/elwiki.reverted.md b/tuning_reports/elwiki.reverted.md index fd635b12..a86e55b3 100644 --- a/tuning_reports/elwiki.reverted.md +++ b/tuning_reports/elwiki.reverted.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.elwiki.reverted -- Date: 2017-09-03T11:13:42.639320 -- Observations: 19960 +- Date: 2021-01-28T06:37:55.307757 +- Observations: 19704 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9171 | min_samples_leaf=3, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9168 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9168 | min_samples_leaf=5, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9158 | min_samples_leaf=1, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9156 | min_samples_leaf=5, n_estimators=320, criterion="gini", max_features="log2" | -| RandomForestClassifier | 0.9154 | min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9152 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9151 | min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.915 | min_samples_leaf=5, n_estimators=160, criterion="gini", max_features="log2" | -| RandomForestClassifier | 0.9148 | min_samples_leaf=3, n_estimators=320, criterion="gini", max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| RandomForestClassifier | 0.9155 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| RandomForestClassifier | 0.9154 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| GradientBoosting | 0.9146 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=0.01 | +| RandomForestClassifier | 0.9145 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | +| RandomForestClassifier | 0.9144 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | +| RandomForestClassifier | 0.9143 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | +| RandomForestClassifier | 0.9143 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| RandomForestClassifier | 0.9143 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| GradientBoosting | 0.9142 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=0.01 | +| RandomForestClassifier | 0.9142 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9118 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5 | -| 0.9116 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=7 | -| 0.911 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5 | -| 0.9106 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=7 | -| 0.9105 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=7 | -| 0.9101 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=3 | -| 0.9098 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=3 | -| 0.9091 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5 | -| 0.9091 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=1 | -| 0.9089 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=3 | -| 0.9088 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1 | -| 0.9088 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=5 | -| 0.9083 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3 | -| 0.9079 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1 | -| 0.9078 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=1 | -| 0.9077 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=1 | -| 0.9076 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3 | -| 0.9067 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=7 | -| 0.9063 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1 | -| 0.906 | learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=7 | -| 0.9053 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3 | -| 0.905 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1 | -| 0.9044 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=5 | -| 0.9038 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=5 | -| 0.9037 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=1 | -| 0.9027 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7 | -| 0.9022 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=5 | -| 0.9019 | learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=5 | -| 0.9017 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3 | -| 0.9016 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7 | -| 0.9011 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=1 | -| 0.9006 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7 | -| 0.8988 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=1 | -| 0.8983 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=3 | -| 0.8978 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1 | -| 0.8958 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=1 | -| 0.8945 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1 | -| 0.8929 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=3 | -| 0.8929 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7 | -| 0.8926 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7 | -| 0.8924 | learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=3 | -| 0.8922 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5 | -| 0.8921 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=1 | -| 0.8884 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5 | -| 0.8879 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3 | -| 0.8874 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7 | -| 0.8871 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5 | -| 0.8844 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3 | -| 0.883 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5 | -| 0.8829 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=1 | -| 0.8823 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7 | -| 0.8777 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=5 | -| 0.8738 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=3 | -| 0.8729 | learning_rate=0.01, max_features="log2", n_estimators=100, max_depth=1 | -| 0.8725 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=7 | -| 0.8705 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=3 | -| 0.8696 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=7 | -| 0.8674 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=5 | -| 0.8658 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=3 | -| 0.8621 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=7 | -| 0.8601 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=7 | -| 0.8581 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=3 | -| 0.8529 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=5 | -| 0.8272 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=5 | +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.813 | | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8973 | penalty="l1", C=1 | -| 0.8969 | penalty="l1", C=10 | -| 0.896 | penalty="l1", C=0.1 | -| 0.4455 | penalty="l2", C=10 | -| 0.4448 | penalty="l2", C=0.1 | -| 0.4323 | penalty="l2", C=1 | +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9146 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=0.01 | +| 0.9142 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=0.01 | +| 0.914 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=0.01 | +| 0.9136 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=0.01 | +| 0.9136 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=0.01 | +| 0.9131 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=0.01 | +| 0.913 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=0.01 | +| 0.9129 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=0.01 | +| 0.9125 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=0.01 | +| 0.9124 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=0.01 | +| 0.9124 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=0.01 | +| 0.9122 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=0.01 | +| 0.9122 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=0.01 | +| 0.9121 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=0.01 | +| 0.9121 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=0.01 | +| 0.9119 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=0.01 | +| 0.9117 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=0.01 | +| 0.9115 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=0.01 | +| 0.9113 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=0.01 | +| 0.9113 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=0.01 | +| 0.9112 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=0.1 | +| 0.9111 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=0.1 | +| 0.911 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=0.01 | +| 0.9106 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=0.1 | +| 0.9105 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=0.1 | +| 0.9104 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=0.01 | +| 0.9104 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=0.01 | +| 0.9103 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=0.1 | +| 0.91 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=0.01 | +| 0.91 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=0.1 | +| 0.9099 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=0.1 | +| 0.9096 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=0.1 | +| 0.9096 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=0.1 | +| 0.9092 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=0.01 | +| 0.9091 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=0.1 | +| 0.9088 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=0.01 | +| 0.9088 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=0.1 | +| 0.9087 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=0.1 | +| 0.9085 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=0.01 | +| 0.9085 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=0.1 | +| 0.9085 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=0.01 | +| 0.9085 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=0.1 | +| 0.9085 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=0.1 | +| 0.9084 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=0.01 | +| 0.9082 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=0.01 | +| 0.9081 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=0.01 | +| 0.908 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=0.01 | +| 0.908 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=0.1 | +| 0.9079 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=0.1 | +| 0.9079 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=0.1 | +| 0.9078 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=0.1 | +| 0.9078 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=0.01 | +| 0.9077 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=0.01 | +| 0.9076 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=0.1 | +| 0.9074 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=0.01 | +| 0.9074 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=0.1 | +| 0.9071 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=0.1 | +| 0.9067 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=0.1 | +| 0.9066 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=0.1 | +| 0.9066 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=0.1 | +| 0.9066 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=0.5 | +| 0.9063 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=0.5 | +| 0.9061 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=0.01 | +| 0.9061 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=0.01 | +| 0.906 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=0.1 | +| 0.906 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=0.1 | +| 0.9059 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=0.1 | +| 0.9059 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=0.1 | +| 0.9058 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=0.1 | +| 0.9058 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=0.1 | +| 0.9057 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=0.01 | +| 0.9056 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=0.1 | +| 0.9056 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=0.1 | +| 0.9056 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=0.01 | +| 0.9056 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=0.5 | +| 0.9055 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=0.1 | +| 0.9055 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=0.1 | +| 0.9054 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=0.1 | +| 0.9054 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=0.1 | +| 0.9053 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=0.1 | +| 0.9052 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=0.1 | +| 0.9052 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=0.1 | +| 0.9051 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=0.01 | +| 0.9051 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=0.1 | +| 0.9051 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=0.1 | +| 0.905 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=0.1 | +| 0.905 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=0.5 | +| 0.9049 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=0.01 | +| 0.9049 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=0.5 | +| 0.9048 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=0.01 | +| 0.9046 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=0.5 | +| 0.9045 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=0.01 | +| 0.9045 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=0.5 | +| 0.9044 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=0.01 | +| 0.9044 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=0.5 | +| 0.9044 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=0.1 | +| 0.9043 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=0.1 | +| 0.9042 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=0.1 | +| 0.9041 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=0.1 | +| 0.9041 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=0.01 | +| 0.904 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=0.1 | +| 0.904 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=0.1 | +| 0.9039 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=0.1 | +| 0.9039 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=0.1 | +| 0.9039 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=0.1 | +| 0.9038 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=0.5 | +| 0.9038 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=0.5 | +| 0.9037 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=0.5 | +| 0.9037 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=0.5 | +| 0.9037 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=0.1 | +| 0.9036 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=0.5 | +| 0.9035 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=0.5 | +| 0.9034 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=0.1 | +| 0.9033 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=0.1 | +| 0.9032 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=0.5 | +| 0.9032 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=0.1 | +| 0.9031 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=0.5 | +| 0.9029 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=0.1 | +| 0.9028 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=0.5 | +| 0.9026 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=0.5 | +| 0.9023 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=0.1 | +| 0.9022 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=0.1 | +| 0.9018 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=0.1 | +| 0.9018 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=0.1 | +| 0.9016 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=0.01 | +| 0.9016 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=0.5 | +| 0.9014 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=0.5 | +| 0.9011 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=0.1 | +| 0.901 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=0.1 | +| 0.9009 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=0.01 | +| 0.9008 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=0.01 | +| 0.9008 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=0.01 | +| 0.9008 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=0.01 | +| 0.9007 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=1 | +| 0.9006 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=0.1 | +| 0.9005 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=0.01 | +| 0.9003 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=0.01 | +| 0.8999 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=0.01 | +| 0.8996 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=0.5 | +| 0.8995 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=0.01 | +| 0.8993 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=1 | +| 0.8992 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=0.01 | +| 0.8991 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=1 | +| 0.8989 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=0.1 | +| 0.8988 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=1 | +| 0.8976 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=1 | +| 0.8972 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=0.5 | +| 0.8969 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=0.5 | +| 0.8965 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=0.1 | +| 0.8965 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=1 | +| 0.8962 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=0.1 | +| 0.8961 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=1 | +| 0.8958 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=1 | +| 0.8953 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=0.5 | +| 0.895 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=0.1 | +| 0.8948 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=1 | +| 0.8945 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=0.1 | +| 0.8944 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=1 | +| 0.8943 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=0.01 | +| 0.8941 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=0.01 | +| 0.8939 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=1 | +| 0.8937 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=0.01 | +| 0.8937 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=0.01 | +| 0.8936 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=0.1 | +| 0.8936 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=0.01 | +| 0.8935 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=1 | +| 0.8934 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=0.1 | +| 0.8933 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=0.1 | +| 0.8932 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=1 | +| 0.8932 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=1 | +| 0.8931 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=1 | +| 0.8926 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=1 | +| 0.8922 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=1 | +| 0.892 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=0.1 | +| 0.8917 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=0.1 | +| 0.8913 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=0.5 | +| 0.8909 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=0.01 | +| 0.8906 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=1 | +| 0.8904 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=0.1 | +| 0.8903 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=0.01 | +| 0.8903 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=0.01 | +| 0.8898 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=0.01 | +| 0.8898 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=0.01 | +| 0.8897 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=0.01 | +| 0.8896 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=0.01 | +| 0.8886 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=0.5 | +| 0.8884 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=0.01 | +| 0.8883 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=1 | +| 0.8881 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=0.01 | +| 0.888 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=1 | +| 0.8877 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=0.01 | +| 0.8875 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=0.5 | +| 0.8866 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=0.5 | +| 0.8862 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=0.5 | +| 0.8857 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=0.5 | +| 0.8848 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=0.5 | +| 0.8844 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=0.5 | +| 0.884 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=0.5 | +| 0.884 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=0.01 | +| 0.8827 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=0.01 | +| 0.8824 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=0.01 | +| 0.8822 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=0.5 | +| 0.8821 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=0.5 | +| 0.8818 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=0.5 | +| 0.8816 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=0.1 | +| 0.8812 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=0.01 | +| 0.8806 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=0.5 | +| 0.8799 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=0.01 | +| 0.8798 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=0.5 | +| 0.8797 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=0.5 | +| 0.879 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=0.5 | +| 0.8784 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=0.1 | +| 0.8784 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=0.5 | +| 0.8762 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=0.5 | +| 0.8756 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=0.5 | +| 0.8755 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=0.1 | +| 0.875 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=0.5 | +| 0.8743 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=0.1 | +| 0.8741 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=0.5 | +| 0.873 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=0.5 | +| 0.8727 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=0.1 | +| 0.8727 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=0.5 | +| 0.8712 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=0.5 | +| 0.8707 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=0.5 | +| 0.8701 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=0.5 | +| 0.8696 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=0.5 | +| 0.8695 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=0.01 | +| 0.8687 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=0.5 | +| 0.8683 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=1 | +| 0.8682 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=0.5 | +| 0.868 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=0.5 | +| 0.8673 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=0.01 | +| 0.8668 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=0.01 | +| 0.8666 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=0.01 | +| 0.8649 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=0.5 | +| 0.8645 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=1 | +| 0.8634 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=1 | +| 0.8632 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=0.01 | +| 0.8628 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=1 | +| 0.861 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=1 | +| 0.86 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=1 | +| 0.86 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=1 | +| 0.859 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=1 | +| 0.8586 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=1 | +| 0.8528 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=1 | +| 0.848 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=1 | +| 0.8479 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=1 | +| 0.8443 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=1 | +| 0.8412 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=0.5 | +| 0.8411 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=0.5 | +| 0.8406 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=1 | +| 0.8402 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=1 | +| 0.84 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=1 | +| 0.8395 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=0.5 | +| 0.8391 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=1 | +| 0.8389 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=1 | +| 0.8385 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=1 | +| 0.8378 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=0.5 | +| 0.8364 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=1 | +| 0.8362 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=1 | +| 0.8357 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=0.5 | +| 0.8351 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=1 | +| 0.8314 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=0.5 | +| 0.8302 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=1 | +| 0.8288 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=0.5 | +| 0.8287 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=0.5 | +| 0.8272 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=0.5 | +| 0.8251 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=0.5 | +| 0.8239 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=0.5 | +| 0.8236 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=0.5 | +| 0.8235 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=0.5 | +| 0.8207 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=0.5 | +| 0.8204 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=0.5 | +| 0.8195 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=1 | +| 0.8189 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=0.5 | +| 0.8169 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=0.5 | +| 0.816 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=0.5 | +| 0.8159 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=0.5 | +| 0.8134 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=0.5 | +| 0.8129 | max_features="log2", n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=1 | +| 0.8121 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=0.5 | +| 0.8111 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=0.5 | +| 0.8103 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=1 | +| 0.8094 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=0.5 | +| 0.8085 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=0.5 | +| 0.8074 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=1 | +| 0.8064 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=0.5 | +| 0.8032 | max_features="log2", n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=1 | +| 0.8025 | max_features="log2", n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=1 | +| 0.8024 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=1 | +| 0.7977 | max_features="log2", n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=1 | +| 0.7974 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=1 | +| 0.7944 | max_features="log2", n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=1 | +| 0.7921 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=1 | +| 0.789 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=1 | +| 0.7863 | max_features="log2", n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=1 | +| 0.7843 | max_features="log2", n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=1 | +| 0.7835 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=1 | +| 0.7834 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=1 | +| 0.7827 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=1 | +| 0.7822 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=1 | +| 0.7805 | max_features="log2", n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=1 | +| 0.7771 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=1 | +| 0.7769 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=1 | +| 0.7752 | max_features="log2", n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=1 | +| 0.7724 | max_features="log2", n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=1 | +| 0.7724 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=1 | +| 0.7707 | max_features="log2", n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=1 | +| 0.7646 | max_features="log2", n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=1 | +| 0.7602 | max_features="log2", n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=1 | +| 0.7584 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=1 | +| 0.7466 | max_features="log2", n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=1 | +| 0.7447 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=1 | +| 0.7373 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=1 | +| 0.7296 | max_features="log2", n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=1 | +| 0.727 | max_features="log2", n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=1 | +| 0.7172 | max_features="log2", n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=1 | +| 0.7152 | max_features="log2", n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=1 | +| 0.6916 | max_features="log2", n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=1 | +| 0.6898 | max_features="log2", n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=1 | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9171 | min_samples_leaf=3, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9168 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9168 | min_samples_leaf=5, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9158 | min_samples_leaf=1, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9156 | min_samples_leaf=5, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9154 | min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9152 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9151 | min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.915 | min_samples_leaf=5, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9148 | min_samples_leaf=3, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9148 | min_samples_leaf=7, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9148 | min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9144 | min_samples_leaf=1, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9142 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9137 | min_samples_leaf=7, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9137 | min_samples_leaf=13, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9128 | min_samples_leaf=3, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9127 | min_samples_leaf=13, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9126 | min_samples_leaf=5, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9122 | min_samples_leaf=3, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9121 | min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9117 | min_samples_leaf=7, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9116 | min_samples_leaf=13, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9114 | min_samples_leaf=5, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9113 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9113 | min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2" | -| 0.911 | min_samples_leaf=1, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9106 | min_samples_leaf=7, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9106 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9105 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9086 | min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9085 | min_samples_leaf=1, n_estimators=160, criterion="gini", max_features="log2" | -| 0.908 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9073 | min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9069 | min_samples_leaf=1, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9067 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9066 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9056 | min_samples_leaf=1, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9056 | min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9053 | min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9051 | min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9032 | min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9023 | min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9011 | min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9009 | min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.8996 | min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.8972 | min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.8956 | min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2" | -| 0.8945 | min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.8943 | min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8923 | min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8917 | min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2" | -| 0.8893 | min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.888 | min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8861 | min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8704 | min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.8678 | min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2" | -| 0.8678 | min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.841 | min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.8236 | min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2" | +| 0.9155 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| 0.9154 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| 0.9145 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | +| 0.9144 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | +| 0.9143 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | +| 0.9143 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| 0.9143 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| 0.9142 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | +| 0.9134 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | +| 0.9133 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | +| 0.9127 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="entropy" | +| 0.9121 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="entropy" | +| 0.9119 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | +| 0.9118 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="entropy" | +| 0.9112 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="entropy" | +| 0.9104 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | +| 0.9095 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="gini" | +| 0.9091 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="gini" | +| 0.9089 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="gini" | +| 0.9084 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="gini" | +| 0.9082 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="gini" | +| 0.9081 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="entropy" | +| 0.9081 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="gini" | +| 0.9079 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="entropy" | +| 0.9078 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | +| 0.9077 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | +| 0.9075 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="gini" | +| 0.9075 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="gini" | +| 0.9074 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="entropy" | +| 0.9072 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="entropy" | +| 0.9072 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="entropy" | +| 0.907 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="gini" | +| 0.907 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="gini" | +| 0.906 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="entropy" | +| 0.9058 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="gini" | +| 0.9056 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="gini" | +| 0.905 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="gini" | +| 0.905 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="gini" | +| 0.905 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="gini" | +| 0.9048 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="gini" | +| 0.9042 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="gini" | +| 0.9039 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="gini" | +| 0.9034 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="gini" | +| 0.903 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="entropy" | +| 0.9016 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="entropy" | +| 0.9015 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="entropy" | +| 0.9012 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="gini" | +| 0.9007 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="entropy" | +| 0.8986 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="gini" | +| 0.8984 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="gini" | +| 0.8976 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="gini" | +| 0.8974 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="gini" | +| 0.897 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="entropy" | +| 0.896 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="entropy" | +| 0.8945 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="entropy" | +| 0.8933 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="gini" | +| 0.8926 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="entropy" | +| 0.8908 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="gini" | +| 0.8902 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="gini" | +| 0.8894 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="entropy" | +| 0.8879 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="gini" | +| 0.8829 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="gini" | +| 0.8821 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="gini" | +| 0.8815 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="entropy" | +| 0.8809 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="entropy" | +| 0.8661 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="gini" | +| 0.863 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="gini" | +| 0.8624 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="entropy" | +| 0.8356 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="entropy" | +| 0.8296 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="gini" | -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8208 | | +| 0.8139 | | -## GaussianNB -| roc_auc.labels.true | params | -|| +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.786 | C=1, penalty="l2" | +| 0.7855 | C=0.1, penalty="l2" | +| 0.7804 | C=10, penalty="l2" | diff --git a/tuning_reports/enwiki.damaging.md b/tuning_reports/enwiki.damaging.md index 0216b09f..07eea020 100644 --- a/tuning_reports/enwiki.damaging.md +++ b/tuning_reports/enwiki.damaging.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.enwiki.damaging -- Date: 2017-09-03T15:21:03.054275 -- Observations: 19446 +- Date: 2021-01-28T07:08:55.174883 +- Observations: 19300 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9189 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9184 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9184 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=1 | -| GradientBoosting | 0.918 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=1 | -| GradientBoosting | 0.9176 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9175 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=3 | -| RandomForestClassifier | 0.917 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.917 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9169 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9166 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=7 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9498 | | +| GradientBoosting | 0.9268 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13 | +| GradientBoosting | 0.926 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7 | +| GradientBoosting | 0.9254 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3 | +| GradientBoosting | 0.9254 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5 | +| GradientBoosting | 0.9254 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5 | +| GradientBoosting | 0.9251 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7 | +| GradientBoosting | 0.925 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1 | +| GradientBoosting | 0.9248 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13 | +| GradientBoosting | 0.9248 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3 | # Models ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9018 | C=10, penalty="l1" | -| 0.9014 | C=1, penalty="l1" | -| 0.8981 | C=0.1, penalty="l1" | -| 0.6483 | C=10, penalty="l2" | -| 0.6242 | C=0.1, penalty="l2" | -| 0.6221 | C=1, penalty="l2" | +| 0.864 | penalty="l2", C=10 | +| 0.8637 | penalty="l2", C=0.1 | +| 0.8617 | penalty="l2", C=1 | -## BernoulliNB +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9213 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9212 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9205 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9201 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9196 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9195 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9193 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9193 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9191 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9188 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9186 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.918 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9169 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9162 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9162 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9162 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9162 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9161 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9159 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9159 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9158 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9157 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9154 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.915 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9144 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9142 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9138 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9138 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9137 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9135 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9134 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9134 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9128 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9122 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.9122 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9121 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9119 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.911 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9102 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9098 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9097 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9097 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9084 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9078 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.907 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9055 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9052 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9051 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9043 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9042 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.904 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9032 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9024 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9018 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.8975 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.8965 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.8955 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.8952 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.8912 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.8865 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.8864 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.8847 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.884 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.8811 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.8701 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.866 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.8654 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.8615 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.8254 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=1 | +| 0.8221 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=1 | + +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8374 | | +| 0.9498 | | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9189 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9184 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9184 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.918 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9176 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9175 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9169 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9166 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=7 | -| 0.9165 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9159 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9159 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9154 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=7 | -| 0.9153 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=7 | -| 0.9149 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9149 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9131 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9129 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9127 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9122 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.912 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9112 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=7 | -| 0.9106 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9103 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9098 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9096 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.9094 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9076 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.9071 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9041 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9038 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9033 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.9033 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9032 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=3 | -| 0.903 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9029 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9019 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9013 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=7 | -| 0.8998 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.8977 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=1 | -| 0.8901 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=3 | -| 0.8895 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=7 | -| 0.8891 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=7 | -| 0.8881 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=7 | -| 0.8871 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=1 | -| 0.8869 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=5 | -| 0.886 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=5 | -| 0.8858 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=3 | -| 0.8849 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=5 | -| 0.8835 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=3 | -| 0.8826 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=5 | -| 0.8797 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8738 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.873 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.8725 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.871 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.8685 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.8681 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=1 | -| 0.8666 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=3 | -| 0.8651 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.865 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.8645 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.8644 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=7 | -| 0.8643 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8369 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=3 | - -## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9268 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.926 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.9254 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.9254 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.9254 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.9251 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.925 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.9248 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.9248 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.9248 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.9248 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.9247 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.9247 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.9247 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.9245 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.9245 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.9245 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.9244 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.9243 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.9243 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.9242 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.9242 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.924 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.924 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.9239 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.9239 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.9238 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.9238 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.9238 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.9237 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.9234 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.9234 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.9233 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.9232 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.9232 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.9232 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.9231 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.9231 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.923 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.923 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.923 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.9229 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.9229 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.9229 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.9228 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.9228 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.9228 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.9225 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.9224 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.9223 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.9221 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.9221 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.9221 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.9221 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.9221 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.9221 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.922 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.9219 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.9218 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.9217 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.9217 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.9217 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.9217 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.9216 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.9216 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.9215 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.9214 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.9212 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.9212 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.9212 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.9211 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.921 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.921 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.921 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.9207 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.9207 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.9207 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.9207 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.9205 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.9204 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.9201 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.9197 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.9197 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.9196 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.9196 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.9195 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.9195 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.9192 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.9188 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.9185 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.9185 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.9183 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.9182 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.9181 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.918 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.9179 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.9178 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.9178 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.9177 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.9177 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.9175 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.9173 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.9173 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.9173 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.9173 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.9172 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.9172 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.9171 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.9171 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.917 | learning_rate=0.5, max_features="log2", max_depth=1, 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max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.8346 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.8343 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.8339 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.8332 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.8329 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.8328 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.8324 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.8308 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.8298 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.829 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.8284 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.8278 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.8267 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.8267 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.8257 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.8255 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.8254 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.8252 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.8251 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.8243 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.8238 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.8237 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.8227 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.8224 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.822 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.8187 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.8163 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.8109 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.81 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.8097 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.8083 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.8075 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.8054 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.8036 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.8015 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.8013 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.8009 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.8006 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.8004 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.8003 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.7987 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.7982 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.7981 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.7977 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.7973 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.7967 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.7961 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.7958 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.7956 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.795 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.7949 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.7945 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.7942 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.7929 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.7926 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.7923 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.7903 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.79 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.7868 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.7853 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.7742 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.7676 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.759 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.7575 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.7518 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.7476 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.735 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7 | -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.917 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.917 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9158 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9153 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9144 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9144 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9141 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9141 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9141 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9139 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9139 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9138 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9137 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9137 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9135 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9133 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9133 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.913 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9129 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9129 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9128 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9126 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9124 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9123 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9121 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9117 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.91 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9094 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9079 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9075 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9061 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.906 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.905 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9048 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9046 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9046 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9042 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9032 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9018 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9005 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9001 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8999 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8945 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8945 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8944 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.894 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8919 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8896 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8863 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8849 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8835 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8803 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8774 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8773 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8657 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.856 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8553 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8459 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8075 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.7976 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8415 | | diff --git a/tuning_reports/enwiki.goodfaith.md b/tuning_reports/enwiki.goodfaith.md index 89f632b9..757845d9 100644 --- a/tuning_reports/enwiki.goodfaith.md +++ b/tuning_reports/enwiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.enwiki.goodfaith -- Date: 2017-09-03T19:34:15.295010 -- Observations: 19446 +- Date: 2021-01-28T07:37:54.026614 +- Observations: 19300 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9074 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9066 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9065 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9052 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | -| RandomForestClassifier | 0.9051 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9051 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| GradientBoosting | 0.9051 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | -| GradientBoosting | 0.9048 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9043 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | -| RandomForestClassifier | 0.9041 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9622 | | +| GradientBoosting | 0.9281 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | +| GradientBoosting | 0.9279 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| GradientBoosting | 0.9279 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | +| GradientBoosting | 0.9279 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| GradientBoosting | 0.9276 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| GradientBoosting | 0.9274 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | +| GradientBoosting | 0.9273 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | +| GradientBoosting | 0.9273 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | +| GradientBoosting | 0.927 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | # Models -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8221 | | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9281 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9279 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9279 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9279 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9276 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9274 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9273 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9273 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.927 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.927 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9269 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9268 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9267 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9267 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9266 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9264 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9264 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9264 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9263 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9262 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.926 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.926 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.926 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9259 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9259 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9259 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9258 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9257 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9257 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9257 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9255 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9255 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9255 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9255 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9254 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9252 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9252 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9251 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.925 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9249 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9248 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9248 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9246 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9246 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9245 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9244 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.9243 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9242 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9242 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9242 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9241 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9241 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.9241 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9239 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.9238 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9238 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9238 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9238 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9236 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9235 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.9234 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9234 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9233 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9232 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9232 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9232 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9232 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9231 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9231 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.923 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.923 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.923 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9228 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9227 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9227 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9226 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9225 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9225 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9224 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.9224 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.922 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9216 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.921 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9208 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.9207 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9206 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.9205 | min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9203 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.9202 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9202 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.9201 | min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9201 | min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.9201 | min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.92 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9199 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9199 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9199 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9198 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9198 | min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9197 | min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9196 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9195 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.9193 | min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9193 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9193 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9192 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.919 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.9188 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9186 | min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9185 | min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.9185 | min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9184 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9182 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9181 | min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.9179 | min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9178 | min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9178 | min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9175 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9175 | min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9174 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.9172 | min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.9172 | min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9172 | min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.917 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9166 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9166 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.9166 | min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.916 | min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.9155 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.9154 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9152 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9148 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9142 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9141 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.9139 | min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9138 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.9137 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.9136 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.9134 | min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9131 | min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.913 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9128 | min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9127 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9124 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.9123 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.9121 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.9115 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.9113 | min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | +| 0.9111 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9108 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9104 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.9102 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.9102 | min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9098 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9098 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9098 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.9094 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9092 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9091 | min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.909 | min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.909 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | +| 0.9088 | min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9084 | min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9084 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.9075 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9075 | min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.9069 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.906 | min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.9058 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.9057 | min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9056 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9054 | min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9053 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.9048 | min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9045 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9045 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9042 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9042 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | +| 0.9041 | min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.9039 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9038 | min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.9035 | min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.9034 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.9031 | min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.902 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | +| 0.9001 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8998 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8997 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8992 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8983 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8976 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8974 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8958 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8948 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8936 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8934 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8929 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.8926 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.8926 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.8925 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.8922 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | +| 0.8901 | min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.8899 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8899 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8846 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8835 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.883 | min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.8828 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8828 | min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.8827 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.88 | min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.88 | min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.8751 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8738 | min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8736 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8733 | min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | +| 0.8716 | min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8698 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.8694 | min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8692 | min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8683 | min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8682 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.8679 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.8663 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.863 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.862 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | +| 0.8555 | min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.8539 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8537 | min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.8526 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8505 | min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.8503 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8482 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8472 | min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.846 | min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | +| 0.8421 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.8403 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.8385 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.838 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8378 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8362 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8344 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.834 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8336 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.832 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8312 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.831 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8305 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8303 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8299 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8299 | min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8298 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8289 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8285 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | +| 0.8284 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8283 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8282 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8282 | min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.828 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8276 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8275 | min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8274 | min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.827 | min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.826 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8257 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | +| 0.8249 | min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8247 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.8246 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.824 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8223 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.8222 | min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8213 | min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.8211 | min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | +| 0.82 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.8192 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8076 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.807 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.8062 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.8054 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.8054 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.805 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.8046 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.8009 | min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.8006 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.8004 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.8001 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.7996 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7993 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.7989 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7971 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7967 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7957 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.795 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.7947 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.794 | min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7934 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.7925 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.7919 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.7907 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | +| 0.7901 | min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7899 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.7873 | min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.787 | min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.787 | min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7841 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7736 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7704 | min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | +| 0.766 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7588 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.7568 | min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7559 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7496 | min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7483 | min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7443 | min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7416 | min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7347 | min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.7335 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | +| 0.7328 | min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | +| 0.7302 | min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | +| 0.7198 | min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9622 | | ## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8855 | penalty="l1", C=1 | -| 0.8849 | penalty="l1", C=10 | -| 0.8811 | penalty="l1", C=0.1 | -| 0.685 | penalty="l2", C=10 | -| 0.6494 | penalty="l2", C=1 | -| 0.6158 | penalty="l2", C=0.1 | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9074 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9066 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.9065 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9052 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9051 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9048 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9043 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9039 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9039 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9038 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9035 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.903 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9028 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9028 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9014 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9013 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9009 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9008 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.899 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.8989 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.8977 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | -| 0.8971 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.8969 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.8963 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.8948 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.8941 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | -| 0.8936 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.8922 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.8909 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.8906 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.8901 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.8885 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.8884 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.8884 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.8875 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.8874 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | -| 0.8832 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.883 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | -| 0.8801 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.8775 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.8757 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.8756 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.8742 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.8736 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.8735 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.8721 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.8711 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.8705 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.869 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | -| 0.8673 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.8668 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.8594 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | -| 0.859 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.8566 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | -| 0.8563 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | -| 0.8513 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | -| 0.8453 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8451 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | -| 0.8436 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8433 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | -| 0.8426 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8365 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8354 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8733 | C=0.1, penalty="l2" | +| 0.8702 | C=1, penalty="l2" | +| 0.8689 | C=10, penalty="l2" | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9051 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9051 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9041 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9041 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9036 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9032 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.902 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9016 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9015 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9012 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9008 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9003 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | -| 0.8997 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8992 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.8991 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | -| 0.899 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | -| 0.8988 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| 0.8986 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | -| 0.8985 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | -| 0.8981 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8976 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.8972 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | -| 0.897 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8965 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8963 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | -| 0.8959 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8952 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.8943 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8932 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | -| 0.8929 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | -| 0.8926 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | -| 0.8925 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.8924 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.892 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8909 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8874 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | -| 0.8871 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8866 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8854 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | -| 0.885 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.885 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8846 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8838 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8816 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8804 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8801 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | -| 0.88 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8725 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8719 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8691 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8678 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8672 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.8652 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8602 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8462 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8412 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | -| 0.839 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8318 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8066 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.7857 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9215 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9211 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9211 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9205 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9205 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9204 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9201 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9191 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9187 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9181 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9175 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9169 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9166 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9164 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.9161 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9156 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9156 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9155 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9154 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9153 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9142 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=640 | +| 0.914 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9138 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.9131 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9131 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.9126 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9126 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9122 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9122 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9121 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | +| 0.912 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9119 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9119 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9116 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9111 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.911 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9109 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.91 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9097 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9088 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9082 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9082 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | +| 0.9081 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9063 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9051 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.9051 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.9048 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9042 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9041 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | +| 0.9024 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | +| 0.9023 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9007 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | +| 0.899 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8967 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8962 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8958 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8926 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8918 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | +| 0.889 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8874 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8851 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8848 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8781 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8758 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8736 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8709 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8588 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.855 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8186 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8125 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | + +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8526 | | diff --git a/tuning_reports/enwiktionary.reverted.md b/tuning_reports/enwiktionary.reverted.md index 8f556c8a..c030d41f 100644 --- a/tuning_reports/enwiktionary.reverted.md +++ b/tuning_reports/enwiktionary.reverted.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.enwiktionary.reverted -- Date: 2017-09-03T23:50:02.463607 -- Observations: 20810 +- Date: 2021-01-28T08:09:35.733203 +- Observations: 91446 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9665 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | -| RandomForestClassifier | 0.9664 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | -| RandomForestClassifier | 0.9662 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | -| RandomForestClassifier | 0.9661 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | -| RandomForestClassifier | 0.9661 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | -| RandomForestClassifier | 0.9658 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | -| RandomForestClassifier | 0.9656 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | -| RandomForestClassifier | 0.9655 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | -| RandomForestClassifier | 0.9655 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | -| RandomForestClassifier | 0.9653 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9703 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| RandomForestClassifier | 0.9702 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| GradientBoosting | 0.9698 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9698 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| GradientBoosting | 0.9697 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| GradientBoosting | 0.9693 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| GradientBoosting | 0.9692 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9692 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| GradientBoosting | 0.9691 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| RandomForestClassifier | 0.969 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | # Models -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9665 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | -| 0.9664 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | -| 0.9662 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | -| 0.9661 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | -| 0.9661 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | -| 0.9658 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | -| 0.9656 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | -| 0.9655 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | -| 0.9655 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | -| 0.9653 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | -| 0.9653 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=320 | -| 0.9651 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | -| 0.9649 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | -| 0.9649 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | -| 0.9645 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | -| 0.9642 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | -| 0.9642 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | -| 0.9641 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | -| 0.9641 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=320 | -| 0.964 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | -| 0.9639 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=320 | -| 0.9638 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | -| 0.9638 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | -| 0.9636 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | -| 0.9635 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | -| 0.9635 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | -| 0.9634 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | -| 0.9627 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | -| 0.9626 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | -| 0.9626 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | -| 0.9623 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | -| 0.9622 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | -| 0.9621 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | -| 0.962 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | -| 0.9616 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | -| 0.9611 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | -| 0.9608 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | -| 0.9606 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | -| 0.9605 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | -| 0.9602 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | -| 0.9588 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | -| 0.958 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | -| 0.9575 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | -| 0.9574 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | -| 0.9569 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | -| 0.9565 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | -| 0.9554 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | -| 0.9544 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | -| 0.9543 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | -| 0.9521 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | -| 0.9521 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | -| 0.949 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | -| 0.9463 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | -| 0.9451 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | -| 0.9363 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | -| 0.9358 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | -| 0.9333 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | -| 0.9313 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | -| 0.9098 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | -| 0.9063 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | - -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8724 | | +| 0.7118 | | -## GaussianNB -| roc_auc.labels.true | params | -|| +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9702 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.969 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.969 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9689 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9686 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9685 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9683 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.968 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.968 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9677 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9677 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9676 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9674 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9673 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9673 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9668 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9668 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9663 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9662 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.966 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.966 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9658 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9658 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9653 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9651 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9651 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9642 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9641 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9641 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9633 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9627 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9624 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9624 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9624 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9621 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.962 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9616 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9607 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9604 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9602 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9598 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9589 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9586 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9583 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.958 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9572 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9569 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9541 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.953 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9523 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9517 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9508 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9491 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9485 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.947 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9456 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9449 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9432 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9408 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9407 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9404 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9394 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9369 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9326 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9292 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9248 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9246 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.924 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8805 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8792 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9622 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=7 | -| 0.9621 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=7 | -| 0.9614 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=7 | -| 0.9613 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=5 | -| 0.9612 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=7 | -| 0.9606 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=5 | -| 0.9594 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=7 | -| 0.9592 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=5 | -| 0.9588 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=5 | -| 0.9577 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=3 | -| 0.9571 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=3 | -| 0.9569 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=3 | -| 0.9566 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=3 | -| 0.9562 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=3 | -| 0.9561 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=5 | -| 0.9561 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=7 | -| 0.9556 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=3 | -| 0.9554 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=5 | -| 0.9547 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=7 | -| 0.9544 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=7 | -| 0.9542 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=5 | -| 0.9531 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=3 | -| 0.9526 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=5 | -| 0.9525 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=1 | -| 0.9519 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=1 | -| 0.9515 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=1 | -| 0.9495 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=1 | -| 0.9494 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=1 | -| 0.9493 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=1 | -| 0.9482 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=3 | -| 0.9472 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=1 | -| 0.9468 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=1 | -| 0.9466 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=1 | -| 0.9445 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=3 | -| 0.9438 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=1 | -| 0.9433 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=1 | -| 0.9418 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=1 | -| 0.941 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=1 | -| 0.9394 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=5 | -| 0.9393 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=3 | -| 0.9383 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=5 | -| 0.9383 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=3 | -| 0.9376 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=1 | -| 0.9371 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=7 | -| 0.9371 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=1 | -| 0.9366 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=7 | -| 0.9356 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=5 | -| 0.9355 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=5 | -| 0.9351 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=3 | -| 0.9337 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=7 | -| 0.9333 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=7 | -| 0.9318 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=1 | -| 0.9215 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=3 | -| 0.9179 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=7 | -| 0.9174 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=7 | -| 0.9153 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=3 | -| 0.9058 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=5 | -| 0.9013 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=7 | -| 0.8967 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=3 | -| 0.8868 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=3 | -| 0.8069 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=5 | -| 0.7941 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=5 | -| 0.7869 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=5 | -| 0.7625 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=7 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9703 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9698 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9698 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9697 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9693 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9692 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9692 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9691 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.969 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9689 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9688 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9685 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9685 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9684 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9684 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9683 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9675 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9674 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9671 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9671 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9671 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9669 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9668 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9663 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9662 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9662 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9661 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.966 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9658 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9657 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9655 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9652 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9652 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9652 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.965 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9649 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9648 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9645 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.964 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9638 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9638 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9638 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9637 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9636 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.963 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9629 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9627 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9627 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9623 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9621 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9621 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9618 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9618 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9616 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.961 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9608 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9608 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9608 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9607 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9607 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9606 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9606 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9605 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9604 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9604 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9603 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9601 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.96 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9599 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9598 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9596 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9595 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9594 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9594 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9592 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9592 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9591 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9589 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9587 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9586 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9584 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9582 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9579 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9578 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9578 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9577 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9577 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9574 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.957 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9569 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9568 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9568 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9568 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9567 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9566 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9565 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9563 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.956 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9555 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9554 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.955 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9528 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9526 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9522 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9504 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9504 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9501 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9493 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9489 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9488 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9488 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9487 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9487 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9486 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9486 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9485 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9485 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9484 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9484 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9482 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9482 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9479 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9479 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9478 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9476 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9476 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9473 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9472 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9471 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.947 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.947 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.947 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9469 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9468 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9467 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9467 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9462 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9462 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9461 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9458 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9457 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9455 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9455 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9454 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9454 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9451 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.9451 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.945 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.945 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9448 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9445 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9443 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9442 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.9442 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9441 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9441 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9439 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9438 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9435 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9434 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9431 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.943 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.943 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9426 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9421 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9417 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9417 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.9415 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.9413 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9407 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9403 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.939 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.9351 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.9343 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.934 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9338 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.9329 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9322 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.932 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.9318 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.9317 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9316 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.9305 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.9305 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.9298 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=1 | +| 0.929 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.929 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9289 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9288 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.928 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.9275 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.9272 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.9259 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9258 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.9257 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.9254 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=7 | +| 0.9249 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=5 | +| 0.9242 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9234 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.9234 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.9231 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=13 | +| 0.9224 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9219 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2", min_samples_leaf=3 | +| 0.9213 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.9198 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.9196 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.9194 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9181 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.9174 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9171 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.9164 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.9157 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.9144 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.911 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.9088 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.9072 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=13 | +| 0.906 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=5 | +| 0.9053 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.9028 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=7 | +| 0.9014 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=1 | +| 0.8996 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2", min_samples_leaf=3 | +| 0.8964 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.8877 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.8871 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8848 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.884 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.882 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8813 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.881 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.8803 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8772 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8632 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8602 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.8569 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.8561 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.8531 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.8493 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8468 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.8433 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.8416 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.8413 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.8402 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.8392 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.839 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.8388 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.8356 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.8349 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8332 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.8323 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8283 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.8252 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.825 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.8232 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.8231 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.8173 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.816 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.8152 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.8134 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.8127 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.8108 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.8103 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8097 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.8044 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.7957 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.791 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.7906 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.7904 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.7896 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.7895 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=1 | +| 0.7861 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.785 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.7779 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.7753 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.7749 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=13 | +| 0.7744 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.7688 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.7633 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.7503 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.7462 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.7437 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.7433 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.7375 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.7339 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.726 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.7159 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.7148 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.711 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.7049 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.7046 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.7014 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6993 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6972 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=7 | +| 0.6967 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2", min_samples_leaf=3 | +| 0.6884 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6845 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6816 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6805 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.6795 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6772 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6765 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6748 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6725 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6724 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.6715 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6662 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.6629 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6575 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.657 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6543 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2", min_samples_leaf=5 | +| 0.6479 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.6422 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.64 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6271 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6225 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6214 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=1 | +| 0.6165 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=7 | +| 0.6119 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=5 | +| 0.6068 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=3 | +| 0.602 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2", min_samples_leaf=13 | +| 0.5236 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2", min_samples_leaf=3 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9443 | C=10, penalty="l1" | -| 0.9408 | C=0.1, penalty="l1" | -| 0.9324 | C=1, penalty="l1" | -| 0.7884 | C=0.1, penalty="l2" | -| 0.7852 | C=10, penalty="l2" | -| 0.7701 | C=1, penalty="l2" | +| 0.8086 | penalty="l2", C=10 | +| 0.8065 | penalty="l2", C=1 | +| 0.805 | penalty="l2", C=0.1 | + +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8286 | | diff --git a/tuning_reports/eswiki.damaging.md b/tuning_reports/eswiki.damaging.md index 7a95f0fb..42dd41a7 100644 --- a/tuning_reports/eswiki.damaging.md +++ b/tuning_reports/eswiki.damaging.md @@ -1,173 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.6 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.eswiki.damaging -- Date: 2017-09-18T13:44:08.913700 -- Observations: 19617 +- Date: 2021-01-28T10:39:50.054506 +- Observations: 18783 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9217 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1 | -| GradientBoosting | 0.9209 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1 | -| GradientBoosting | 0.9207 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1 | -| GradientBoosting | 0.9205 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01 | -| RandomForestClassifier | 0.9204 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| GradientBoosting | 0.9201 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01 | -| GradientBoosting | 0.9199 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1 | -| RandomForestClassifier | 0.9198 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| RandomForestClassifier | 0.9196 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| RandomForestClassifier | 0.9196 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9788 | | +| GradientBoosting | 0.9232 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.01 | +| GradientBoosting | 0.9231 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.1 | +| GradientBoosting | 0.923 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.1 | +| GradientBoosting | 0.9229 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.1 | +| GradientBoosting | 0.9228 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.1 | +| GradientBoosting | 0.9226 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.1 | +| GradientBoosting | 0.9226 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.1 | +| GradientBoosting | 0.9224 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.01 | +| GradientBoosting | 0.9224 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.1 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9217 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9209 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9207 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9205 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9201 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9199 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9192 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9191 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.919 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9186 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9183 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9183 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9182 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9181 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.918 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9172 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9172 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.917 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.917 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9166 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9163 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9158 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9157 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9157 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9156 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9153 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9153 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9144 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9138 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9138 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9125 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9124 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1 | -| 0.91 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9097 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9095 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9095 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9089 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9074 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9051 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9046 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9042 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9038 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9036 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9034 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9031 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1 | -| 0.9026 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.902 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.9011 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9009 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.8998 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.8977 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.8946 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8939 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.8924 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8922 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8899 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1 | -| 0.887 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8867 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8854 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8843 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1 | -| 0.884 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8791 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8769 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8673 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.905 | penalty="l1", C=10 | -| 0.9047 | penalty="l1", C=1 | -| 0.9032 | penalty="l1", C=0.1 | -| 0.7799 | penalty="l2", C=1 | -| 0.7701 | penalty="l2", C=10 | -| 0.7484 | penalty="l2", C=0.1 | +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9788 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| +| 0.9209 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=640 | +| 0.9208 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | +| 0.9204 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | +| 0.9204 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | | 0.9204 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | +| 0.9203 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | +| 0.9201 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | +| 0.9201 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=640 | | 0.9198 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.9196 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.9196 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.9195 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9192 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.9191 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.9191 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | +| 0.9195 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=640 | +| 0.9195 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | +| 0.9192 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | +| 0.9192 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | +| 0.9191 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | +| 0.9191 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | | 0.9187 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9184 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.9184 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.9183 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9181 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.9181 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.918 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.918 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.9179 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9179 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.9178 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9176 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9173 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.9172 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9171 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.9168 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.9167 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.9167 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9167 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.9163 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.9163 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.9163 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.9157 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.9153 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.9152 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.9151 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.9144 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.9144 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.9137 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.9136 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.9136 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.9132 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.9126 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.911 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.9106 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.9104 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.9101 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.909 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.909 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.9075 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.9073 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.9066 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.9057 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.9044 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.9008 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.9004 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.8985 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8951 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.8717 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.8667 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | +| 0.9186 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | +| 0.9186 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | +| 0.9181 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | +| 0.918 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=640 | +| 0.9179 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=640 | +| 0.9179 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | +| 0.9179 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=640 | +| 0.9178 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | +| 0.9176 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | +| 0.9176 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | +| 0.9175 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | +| 0.9173 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | +| 0.9172 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | +| 0.9172 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | +| 0.917 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | +| 0.917 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=640 | +| 0.9166 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | +| 0.9165 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | +| 0.9165 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | +| 0.9164 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | +| 0.9164 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | +| 0.9162 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | +| 0.9162 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | +| 0.9162 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=640 | +| 0.9159 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | +| 0.9158 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | +| 0.9151 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | +| 0.9149 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | +| 0.9149 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | +| 0.9144 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | +| 0.9143 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | +| 0.9141 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | +| 0.9138 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | +| 0.9132 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | +| 0.9121 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | +| 0.912 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | +| 0.9104 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | +| 0.9102 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | +| 0.9093 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | +| 0.9088 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | +| 0.9086 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | +| 0.9086 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | +| 0.9076 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | +| 0.9073 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | +| 0.9066 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | +| 0.9056 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | +| 0.9035 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | +| 0.9016 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | +| 0.8976 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | +| 0.8974 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | +| 0.8959 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | +| 0.8949 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | +| 0.8744 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | +| 0.8719 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | -## GaussianNB -| roc_auc.labels.true | params | -|| +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.839 | penalty="l2", C=0.1 | +| 0.8379 | penalty="l2", C=10 | +| 0.8367 | penalty="l2", C=1 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8608 | | +| 0.8611 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9232 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.9231 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.923 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.9229 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.9228 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.9226 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.9226 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.9224 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.9224 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.9223 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.9223 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.9222 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.9219 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.9219 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.9219 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.9219 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.9218 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.9218 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.9217 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.9216 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.9215 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.9215 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.9215 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.9214 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.9214 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.9214 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.9214 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.9212 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.9212 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.9211 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.9211 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.9208 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.9208 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.9208 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.9207 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.9207 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.9207 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.9204 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.9204 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.9204 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.9204 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.9204 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.9202 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.9202 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.92 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.9199 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.9196 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.9196 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.9195 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.9195 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.9195 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.9195 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.9195 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.9194 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.9194 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.9194 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.9193 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.9193 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.9193 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.9192 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.9192 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.9191 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.9191 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.9191 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.919 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.919 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.919 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.919 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.9188 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.9186 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.9186 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.9186 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.9186 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.9184 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.9184 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.9184 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.9184 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.9184 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.9183 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.9183 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.9183 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.9182 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.9181 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.918 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.918 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.918 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.918 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.9179 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.9179 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.9178 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.9177 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.9177 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.9177 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.9177 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.9177 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.9176 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.9174 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.9174 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.9172 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.9171 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.9171 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.917 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.9169 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.9169 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.9168 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.9166 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.9165 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.9165 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.9165 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.9163 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.9162 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.9162 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.9162 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.9161 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.9161 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.916 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.916 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.916 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.916 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.9159 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.9159 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.9159 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.9158 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.9158 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.9158 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.9158 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.9156 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.9156 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.9156 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.9155 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.9153 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.9152 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.915 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.915 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.9149 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.9148 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.9146 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.9146 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.9146 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.9146 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.9146 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.9146 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.9146 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.9145 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.9143 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.9143 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.9143 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.9143 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.9142 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.9142 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.9141 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.914 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.914 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.9139 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.9139 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.9139 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.9135 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.9134 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.9134 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.9134 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.9133 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.9133 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.9132 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.913 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.9125 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.9124 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.911 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.9109 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.9104 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.9104 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.9103 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.9103 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.9101 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.9101 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.9101 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.91 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.9098 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.9094 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.9094 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.909 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.9083 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.9079 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.9068 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.9065 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.9064 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.9063 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.9062 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.9061 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.906 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.9057 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.9054 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.9053 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.9053 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.9051 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.905 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.9047 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.9046 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.9043 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.9037 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.9034 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.9033 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.9032 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.9031 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.9031 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.903 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.9026 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.9025 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.9022 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.902 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.9011 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.9005 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.9003 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.9002 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.9 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.9 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.8998 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8998 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8998 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.8994 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.8993 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8991 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.8991 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.899 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.8988 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.8987 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8987 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.8985 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.898 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.8976 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8974 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8968 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8946 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.8944 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8937 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.8936 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.893 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.893 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8927 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8926 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8925 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8921 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8921 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8913 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8897 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8896 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8881 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.8874 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.8855 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.8855 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.8854 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.8854 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.8851 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.8847 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.8846 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.884 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.8835 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.8827 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.8823 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.8816 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.8816 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.8813 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.8805 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.8798 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.8795 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.8793 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.8781 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.8773 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.8769 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.8768 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.8766 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.8765 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.8762 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.8757 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.8757 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.8756 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.8752 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.8745 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.8731 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.873 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.8717 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8713 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8687 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.8687 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8682 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8672 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.8656 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.8632 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8606 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.859 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.8587 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.8576 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.8572 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.857 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.8544 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.8541 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.8535 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.8511 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.849 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.8489 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.8468 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.8448 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.8416 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.8398 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.8319 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.8308 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.8294 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.8291 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.814 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.8111 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.8111 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.8003 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.7959 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.7945 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.7915 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.7802 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.7774 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.7768 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.7669 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.7354 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.6874 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=1 | diff --git a/tuning_reports/eswiki.goodfaith.md b/tuning_reports/eswiki.goodfaith.md index 522e4340..78c20f11 100644 --- a/tuning_reports/eswiki.goodfaith.md +++ b/tuning_reports/eswiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.6 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.eswiki.goodfaith -- Date: 2017-09-18T19:19:37.318705 -- Observations: 19617 +- Date: 2021-01-28T11:10:12.450072 +- Observations: 18783 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9372 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.1 | -| GradientBoosting | 0.9361 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.1 | -| GradientBoosting | 0.9352 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.1 | -| GradientBoosting | 0.9351 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.1 | -| GradientBoosting | 0.9347 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.1 | -| GradientBoosting | 0.9347 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.01 | -| RandomForestClassifier | 0.934 | min_samples_leaf=3, criterion="entropy", n_estimators=320, max_features="log2" | -| RandomForestClassifier | 0.934 | min_samples_leaf=5, criterion="entropy", n_estimators=320, max_features="log2" | -| RandomForestClassifier | 0.9338 | min_samples_leaf=7, criterion="entropy", n_estimators=320, max_features="log2" | -| GradientBoosting | 0.9336 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.01 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.982 | | +| GradientBoosting | 0.9371 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| GradientBoosting | 0.9366 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9365 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| GradientBoosting | 0.9362 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| GradientBoosting | 0.936 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.936 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| GradientBoosting | 0.9359 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9359 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| GradientBoosting | 0.9357 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5 | # Models ## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9041 | penalty="l1", C=10 | -| 0.9036 | penalty="l1", C=1 | -| 0.9024 | penalty="l1", C=0.1 | -| 0.7098 | penalty="l2", C=10 | -| 0.7077 | penalty="l2", C=0.1 | -| 0.7026 | penalty="l2", C=1 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8459 | C=0.1, penalty="l2" | +| 0.843 | C=1, penalty="l2" | +| 0.8397 | C=10, penalty="l2" | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.934 | min_samples_leaf=3, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.934 | min_samples_leaf=5, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9338 | min_samples_leaf=7, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9333 | min_samples_leaf=13, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9332 | min_samples_leaf=3, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9331 | min_samples_leaf=3, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9328 | min_samples_leaf=5, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9325 | min_samples_leaf=5, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9325 | min_samples_leaf=7, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9324 | min_samples_leaf=13, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9324 | min_samples_leaf=13, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9322 | min_samples_leaf=7, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9322 | min_samples_leaf=1, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.932 | min_samples_leaf=3, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9319 | min_samples_leaf=7, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9319 | min_samples_leaf=1, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9318 | min_samples_leaf=3, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9318 | min_samples_leaf=13, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9317 | min_samples_leaf=1, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9316 | min_samples_leaf=13, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9316 | min_samples_leaf=7, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9314 | min_samples_leaf=13, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9314 | min_samples_leaf=5, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9313 | min_samples_leaf=5, criterion="gini", n_estimators=160, max_features="log2" | -| 0.931 | min_samples_leaf=5, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9309 | min_samples_leaf=13, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9308 | min_samples_leaf=7, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9306 | min_samples_leaf=13, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9305 | min_samples_leaf=3, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9302 | min_samples_leaf=5, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9301 | min_samples_leaf=7, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9298 | min_samples_leaf=1, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9295 | min_samples_leaf=7, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.929 | min_samples_leaf=1, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9286 | min_samples_leaf=5, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9278 | min_samples_leaf=3, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9277 | min_samples_leaf=3, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9274 | min_samples_leaf=7, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9273 | min_samples_leaf=13, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.927 | min_samples_leaf=3, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9268 | min_samples_leaf=1, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9265 | min_samples_leaf=5, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9261 | min_samples_leaf=7, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9259 | min_samples_leaf=13, criterion="gini", n_estimators=20, max_features="log2" | -| 0.925 | min_samples_leaf=5, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9232 | min_samples_leaf=13, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9232 | min_samples_leaf=3, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9219 | min_samples_leaf=1, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9218 | min_samples_leaf=13, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9208 | min_samples_leaf=7, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9208 | min_samples_leaf=5, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9198 | min_samples_leaf=7, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9182 | min_samples_leaf=5, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.916 | min_samples_leaf=1, criterion="gini", n_estimators=40, max_features="log2" | -| 0.914 | min_samples_leaf=3, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9116 | min_samples_leaf=3, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9111 | min_samples_leaf=1, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9082 | min_samples_leaf=1, criterion="gini", n_estimators=20, max_features="log2" | -| 0.8872 | min_samples_leaf=1, criterion="gini", n_estimators=10, max_features="log2" | -| 0.8826 | min_samples_leaf=1, criterion="entropy", n_estimators=10, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9344 | min_samples_leaf=5, criterion="entropy", n_estimators=640, max_features="log2" | +| 0.934 | min_samples_leaf=5, criterion="entropy", n_estimators=320, max_features="log2" | +| 0.9339 | min_samples_leaf=3, criterion="entropy", n_estimators=640, max_features="log2" | +| 0.9339 | min_samples_leaf=3, criterion="entropy", n_estimators=320, max_features="log2" | +| 0.9335 | min_samples_leaf=1, criterion="entropy", n_estimators=640, max_features="log2" | +| 0.9335 | min_samples_leaf=7, criterion="entropy", n_estimators=640, max_features="log2" | +| 0.9334 | min_samples_leaf=5, criterion="entropy", n_estimators=80, max_features="log2" | +| 0.9333 | min_samples_leaf=7, criterion="entropy", n_estimators=320, max_features="log2" | +| 0.9333 | min_samples_leaf=7, criterion="entropy", n_estimators=160, max_features="log2" | +| 0.9332 | min_samples_leaf=5, criterion="entropy", n_estimators=160, max_features="log2" | +| 0.9332 | min_samples_leaf=1, criterion="entropy", n_estimators=320, max_features="log2" | +| 0.9331 | min_samples_leaf=13, criterion="entropy", n_estimators=640, max_features="log2" | +| 0.9326 | min_samples_leaf=13, criterion="entropy", n_estimators=320, max_features="log2" | +| 0.9326 | min_samples_leaf=3, criterion="entropy", n_estimators=80, max_features="log2" | +| 0.9324 | min_samples_leaf=3, criterion="entropy", n_estimators=160, max_features="log2" | +| 0.9322 | min_samples_leaf=7, criterion="entropy", n_estimators=80, max_features="log2" | +| 0.9319 | min_samples_leaf=13, criterion="entropy", n_estimators=80, max_features="log2" | +| 0.9316 | min_samples_leaf=13, criterion="entropy", n_estimators=160, max_features="log2" | +| 0.9313 | min_samples_leaf=5, criterion="gini", n_estimators=640, max_features="log2" | +| 0.9313 | min_samples_leaf=5, criterion="entropy", n_estimators=40, max_features="log2" | +| 0.9312 | min_samples_leaf=5, criterion="gini", n_estimators=320, max_features="log2" | +| 0.931 | min_samples_leaf=1, criterion="entropy", n_estimators=160, max_features="log2" | +| 0.931 | min_samples_leaf=13, criterion="entropy", n_estimators=40, max_features="log2" | +| 0.931 | min_samples_leaf=5, criterion="gini", n_estimators=160, max_features="log2" | +| 0.9306 | min_samples_leaf=7, criterion="gini", n_estimators=320, max_features="log2" | +| 0.9306 | min_samples_leaf=7, criterion="gini", n_estimators=640, max_features="log2" | +| 0.9305 | min_samples_leaf=3, criterion="gini", n_estimators=640, max_features="log2" | +| 0.9302 | min_samples_leaf=3, criterion="gini", n_estimators=320, max_features="log2" | +| 0.9301 | min_samples_leaf=7, criterion="entropy", n_estimators=40, max_features="log2" | +| 0.9299 | min_samples_leaf=3, criterion="gini", n_estimators=80, max_features="log2" | +| 0.9298 | min_samples_leaf=13, criterion="gini", n_estimators=320, max_features="log2" | +| 0.9297 | min_samples_leaf=7, criterion="gini", n_estimators=160, max_features="log2" | +| 0.9297 | min_samples_leaf=13, criterion="gini", n_estimators=640, max_features="log2" | +| 0.9297 | min_samples_leaf=5, criterion="gini", n_estimators=80, max_features="log2" | +| 0.9292 | min_samples_leaf=13, criterion="entropy", n_estimators=20, max_features="log2" | +| 0.9291 | min_samples_leaf=3, criterion="gini", n_estimators=160, max_features="log2" | +| 0.929 | min_samples_leaf=13, criterion="gini", n_estimators=160, max_features="log2" | +| 0.9289 | min_samples_leaf=1, criterion="gini", n_estimators=320, max_features="log2" | +| 0.9288 | min_samples_leaf=1, criterion="gini", n_estimators=640, max_features="log2" | +| 0.9288 | min_samples_leaf=7, criterion="gini", n_estimators=80, max_features="log2" | +| 0.9286 | min_samples_leaf=13, criterion="gini", n_estimators=80, max_features="log2" | +| 0.9284 | min_samples_leaf=3, criterion="entropy", n_estimators=40, max_features="log2" | +| 0.9275 | min_samples_leaf=7, criterion="entropy", n_estimators=20, max_features="log2" | +| 0.9273 | min_samples_leaf=5, criterion="gini", n_estimators=40, max_features="log2" | +| 0.9272 | min_samples_leaf=1, criterion="gini", n_estimators=160, max_features="log2" | +| 0.927 | min_samples_leaf=5, criterion="entropy", n_estimators=20, max_features="log2" | +| 0.9267 | min_samples_leaf=1, criterion="entropy", n_estimators=80, max_features="log2" | +| 0.9259 | min_samples_leaf=7, criterion="gini", n_estimators=40, max_features="log2" | +| 0.9255 | min_samples_leaf=13, criterion="gini", n_estimators=40, max_features="log2" | +| 0.9254 | min_samples_leaf=5, criterion="gini", n_estimators=20, max_features="log2" | +| 0.9252 | min_samples_leaf=7, criterion="gini", n_estimators=20, max_features="log2" | +| 0.9249 | min_samples_leaf=3, criterion="gini", n_estimators=40, max_features="log2" | +| 0.9234 | min_samples_leaf=13, criterion="gini", n_estimators=20, max_features="log2" | +| 0.9229 | min_samples_leaf=3, criterion="entropy", n_estimators=20, max_features="log2" | +| 0.9227 | min_samples_leaf=1, criterion="gini", n_estimators=80, max_features="log2" | +| 0.9219 | min_samples_leaf=1, criterion="entropy", n_estimators=40, max_features="log2" | +| 0.9217 | min_samples_leaf=13, criterion="entropy", n_estimators=10, max_features="log2" | +| 0.9213 | min_samples_leaf=13, criterion="gini", n_estimators=10, max_features="log2" | +| 0.9198 | min_samples_leaf=7, criterion="entropy", n_estimators=10, max_features="log2" | +| 0.919 | min_samples_leaf=5, criterion="entropy", n_estimators=10, max_features="log2" | +| 0.9184 | min_samples_leaf=3, criterion="gini", n_estimators=20, max_features="log2" | +| 0.918 | min_samples_leaf=1, criterion="gini", n_estimators=40, max_features="log2" | +| 0.9179 | min_samples_leaf=7, criterion="gini", n_estimators=10, max_features="log2" | +| 0.9154 | min_samples_leaf=5, criterion="gini", n_estimators=10, max_features="log2" | +| 0.9145 | min_samples_leaf=3, criterion="entropy", n_estimators=10, max_features="log2" | +| 0.9115 | min_samples_leaf=1, criterion="entropy", n_estimators=20, max_features="log2" | +| 0.91 | min_samples_leaf=3, criterion="gini", n_estimators=10, max_features="log2" | +| 0.9091 | min_samples_leaf=1, criterion="gini", n_estimators=20, max_features="log2" | +| 0.8973 | min_samples_leaf=1, criterion="entropy", n_estimators=10, max_features="log2" | +| 0.8807 | min_samples_leaf=1, criterion="gini", n_estimators=10, max_features="log2" | + +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.982 | | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.877 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8812 | | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9372 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9361 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9352 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9351 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.9347 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9347 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9336 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.933 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9327 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9326 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9325 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9324 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.9324 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9321 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9319 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.9317 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9315 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.9315 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9313 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9308 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9299 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9299 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9299 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9297 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9293 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.9287 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9285 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9282 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9279 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.9272 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9269 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.9266 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.926 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9255 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.9244 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9239 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.9236 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9224 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9223 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9222 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9213 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.92 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.9198 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9195 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.9182 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9177 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9171 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9161 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9161 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.9153 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9134 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.9106 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9099 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.9079 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9056 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9042 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9034 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.9011 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.8992 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.8988 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.8959 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.8897 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.8836 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.8691 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=1 | - -## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9371 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.9366 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.9365 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.9362 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.936 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.936 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.9359 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13 | +| 0.9359 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.9357 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9356 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.9356 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.9355 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.9355 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.9355 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.9354 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.9354 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.9353 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.9353 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.9353 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.9353 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.9352 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.9351 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.9351 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.935 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.9349 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.9348 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1 | +| 0.9348 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3 | +| 0.9346 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5 | +| 0.9345 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9345 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.9345 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.9344 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.9341 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.934 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.9339 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.9339 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.9338 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.9337 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9336 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.9336 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.9335 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13 | +| 0.9335 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5 | +| 0.9334 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.9333 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5 | +| 0.9332 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3 | +| 0.9331 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13 | +| 0.9331 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.9331 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.933 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.933 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.933 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.933 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.9329 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.9328 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.9328 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1 | +| 0.9328 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.9327 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.9327 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.9326 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.9326 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3 | +| 0.9325 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.9325 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.9325 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.9324 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.9323 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.9323 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.9323 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.9321 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.932 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.932 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.932 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.932 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.932 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.932 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.932 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9319 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9319 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.9319 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.9319 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.9319 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.9318 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.9318 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.9318 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.9318 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.9317 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.9317 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.9316 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.9316 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.9315 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.9315 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.9312 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.931 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.931 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=1 | +| 0.931 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.9309 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3 | +| 0.9308 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5 | +| 0.9308 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9308 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.9306 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.9305 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1 | +| 0.9304 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.9304 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.9304 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=13 | +| 0.9304 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.9302 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.9302 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.9301 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.9301 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.9301 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.93 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.93 | learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.93 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.9299 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.9299 | learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.9298 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.9298 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9298 | learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.9297 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13 | +| 0.9296 | learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.9295 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.9295 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.9295 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.9293 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.9289 | learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.9289 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3 | +| 0.9287 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.9286 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.9285 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1 | +| 0.9284 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.9284 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.9284 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.9281 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.9281 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.9279 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.9279 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.9278 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13 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max_features="log2", min_samples_leaf=5 | +| 0.8772 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.8748 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3 | +| 0.8747 | learning_rate=0.01, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.8744 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.8743 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1 | +| 0.868 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.8664 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.866 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.8652 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13 | +| 0.8634 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.8634 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.8617 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.8596 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1 | +| 0.8588 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.8587 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.8583 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.8573 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.857 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.8552 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5 | +| 0.8542 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7 | +| 0.8534 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.8399 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.8327 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | +| 0.8287 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1 | +| 0.8281 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.8223 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5 | +| 0.8198 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.8179 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13 | +| 0.8147 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3 | +| 0.8032 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.7997 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3 | +| 0.7878 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3 | +| 0.7847 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7 | +| 0.7845 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.7819 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5 | +| 0.7771 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13 | +| 0.7711 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7 | +| 0.7623 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7 | +| 0.7537 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5 | +| 0.7167 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | diff --git a/tuning_reports/eswikibooks.damaging.md b/tuning_reports/eswikibooks.damaging.md index d549bdd9..1faca5c3 100644 --- a/tuning_reports/eswikibooks.damaging.md +++ b/tuning_reports/eswikibooks.damaging.md @@ -1,8 +1,8 @@ # Model tuning report -- Revscoring version: 2.0.8 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.eswikibooks.damaging -- Date: 2017-10-11T17:08:03.445346 -- Observations: 18975 +- Date: 2021-01-28T11:39:35.717860 +- Observations: 18734 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 @@ -10,170 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.true | params | |:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9614 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=3 | -| RandomForestClassifier | 0.9611 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=3 | -| RandomForestClassifier | 0.961 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=1 | -| RandomForestClassifier | 0.961 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=1 | -| RandomForestClassifier | 0.9609 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=3 | -| RandomForestClassifier | 0.9609 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=3 | -| GradientBoosting | 0.9607 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | -| RandomForestClassifier | 0.9607 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | -| RandomForestClassifier | 0.9607 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=3 | -| GradientBoosting | 0.9606 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | +| GaussianNB | 0.9839 | | +| RandomForestClassifier | 0.962 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | +| RandomForestClassifier | 0.9619 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | +| RandomForestClassifier | 0.9617 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | +| RandomForestClassifier | 0.9615 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | +| RandomForestClassifier | 0.9615 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | +| RandomForestClassifier | 0.9615 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | +| RandomForestClassifier | 0.9615 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | +| RandomForestClassifier | 0.961 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | +| RandomForestClassifier | 0.9609 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9607 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | -| 0.9606 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | -| 0.96 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1 | -| 0.9598 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1 | -| 0.9598 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01 | -| 0.9596 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1 | -| 0.9596 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1 | -| 0.9594 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01 | -| 0.9593 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1 | -| 0.959 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1 | -| 0.9589 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1 | -| 0.9586 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1 | -| 0.9579 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01 | -| 0.957 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01 | -| 0.9569 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1 | -| 0.9568 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | -| 0.9566 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5 | -| 0.9563 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5 | -| 0.9555 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01 | -| 0.9547 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01 | -| 0.9546 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1 | -| 0.9546 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5 | -| 0.9545 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5 | -| 0.9544 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5 | -| 0.9541 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5 | -| 0.954 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1 | -| 0.9538 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01 | -| 0.9531 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5 | -| 0.9531 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5 | -| 0.9529 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1 | -| 0.9527 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1 | -| 0.9525 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1 | -| 0.9524 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | -| 0.9519 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=1 | -| 0.9518 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01 | -| 0.9517 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5 | -| 0.9515 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1 | -| 0.9496 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01 | -| 0.9493 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01 | -| 0.9493 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1 | -| 0.9462 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5 | -| 0.9451 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1 | -| 0.9447 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1 | -| 0.9443 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5 | -| 0.9417 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01 | -| 0.9408 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | -| 0.9398 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01 | -| 0.9391 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1 | -| 0.9359 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01 | -| 0.9326 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | -| 0.931 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | -| 0.9291 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01 | -| 0.9249 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | -| 0.9226 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | -| 0.9171 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1 | -| 0.9154 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01 | -| 0.9147 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1 | -| 0.9129 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1 | -| 0.8905 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1 | -| 0.8692 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1 | -| 0.841 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1 | -| 0.8325 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9405 | penalty="l1", C=10 | -| 0.9404 | penalty="l1", C=1 | -| 0.9385 | penalty="l1", C=0.1 | -| 0.8485 | penalty="l2", C=0.1 | -| 0.8339 | penalty="l2", C=10 | -| 0.8322 | penalty="l2", C=1 | - ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9839 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9614 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=3 | -| 0.9611 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=3 | -| 0.961 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=1 | -| 0.961 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=1 | -| 0.9609 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=3 | -| 0.9609 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=3 | -| 0.9607 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | -| 0.9607 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=3 | -| 0.9605 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=5 | -| 0.9604 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=5 | -| 0.9603 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=5 | -| 0.9602 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=1 | -| 0.9602 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=1 | -| 0.9602 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=1 | -| 0.9602 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=5 | -| 0.9601 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=5 | -| 0.9601 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=3 | -| 0.96 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=7 | -| 0.9599 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=5 | -| 0.9598 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=7 | -| 0.9597 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=7 | -| 0.9597 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=7 | -| 0.9597 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=7 | -| 0.9595 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=13 | -| 0.9595 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=3 | -| 0.9594 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=7 | -| 0.9594 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=1 | -| 0.9593 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=7 | -| 0.9593 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=1 | -| 0.9593 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=5 | -| 0.9592 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=5 | -| 0.9591 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=13 | -| 0.9591 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=5 | -| 0.9589 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=13 | -| 0.9588 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=3 | -| 0.9587 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=13 | -| 0.9587 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=13 | -| 0.9586 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=13 | -| 0.9584 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=13 | -| 0.9583 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=3 | -| 0.9583 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=7 | -| 0.9579 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=1 | -| 0.9574 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=7 | -| 0.9574 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=13 | -| 0.9573 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=13 | -| 0.9572 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=7 | -| 0.9571 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=13 | -| 0.9569 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=5 | -| 0.9567 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=13 | -| 0.9562 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=5 | -| 0.9562 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=3 | -| 0.9557 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=13 | -| 0.9548 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=3 | -| 0.9542 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=5 | -| 0.9539 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=7 | -| 0.9534 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=13 | -| 0.9533 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=1 | -| 0.953 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=1 | -| 0.9529 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=7 | -| 0.952 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=5 | -| 0.9511 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=3 | -| 0.9495 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=3 | -| 0.9447 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=1 | -| 0.9435 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=1 | -| 0.9316 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=1 | -| 0.9297 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=1 | +| 0.962 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | +| 0.9619 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | +| 0.9617 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | +| 0.9615 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | +| 0.9615 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | +| 0.9615 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | +| 0.9615 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | +| 0.961 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | +| 0.9609 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | +| 0.9609 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=3 | +| 0.9608 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | +| 0.9607 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | +| 0.9607 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | +| 0.9606 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=1 | +| 0.9606 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=7 | +| 0.9605 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | +| 0.9604 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | +| 0.9603 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | +| 0.9602 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | +| 0.9602 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | +| 0.9601 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=5 | +| 0.96 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | +| 0.9598 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=7 | +| 0.9597 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | +| 0.9595 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | +| 0.9593 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | +| 0.9592 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | +| 0.9591 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | +| 0.9591 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | +| 0.959 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | +| 0.9589 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | +| 0.9589 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=13 | +| 0.9588 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | +| 0.9588 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | +| 0.9587 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | +| 0.9587 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | +| 0.9586 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | +| 0.9584 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | +| 0.9583 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | +| 0.9583 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | +| 0.9583 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | +| 0.958 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | +| 0.9578 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | +| 0.9578 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | +| 0.9577 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=13 | +| 0.9575 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | +| 0.9572 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | +| 0.9567 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | +| 0.9564 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | +| 0.9563 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | +| 0.9562 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | +| 0.9561 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | +| 0.9554 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | +| 0.9554 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | +| 0.9553 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | +| 0.9546 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | +| 0.9544 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | +| 0.9542 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | +| 0.9531 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | +| 0.9525 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | +| 0.9523 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | +| 0.9518 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | +| 0.9506 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | +| 0.9503 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | +| 0.9496 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | +| 0.9485 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | +| 0.9474 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | +| 0.9466 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | +| 0.9354 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | +| 0.9313 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.9137 | | +| 0.9171 | | + +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8097 | C=0.1, penalty="l2" | +| 0.8061 | C=1, penalty="l2" | +| 0.8051 | C=10, penalty="l2" | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9606 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=700 | +| 0.9606 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=700 | +| 0.9605 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=700 | +| 0.9604 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=700 | +| 0.9604 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=500 | +| 0.9603 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=700 | +| 0.9602 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=500 | +| 0.9602 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=300 | +| 0.9601 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=500 | +| 0.9601 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=100 | +| 0.9601 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=100 | +| 0.96 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=300 | +| 0.96 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=700 | +| 0.9599 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=700 | +| 0.9599 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=700 | +| 0.9598 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=500 | +| 0.9598 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=100 | +| 0.9597 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=700 | +| 0.9597 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=100 | +| 0.9597 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=300 | +| 0.9596 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=300 | +| 0.9595 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=500 | +| 0.9595 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=500 | +| 0.9594 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=500 | +| 0.9594 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=100 | +| 0.9593 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=500 | +| 0.9593 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=500 | +| 0.9593 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=500 | +| 0.9593 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=300 | +| 0.9592 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=300 | +| 0.9592 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=100 | +| 0.9592 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=100 | +| 0.9592 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=300 | +| 0.9592 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=500 | +| 0.9591 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=100 | +| 0.9591 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=500 | +| 0.959 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=700 | +| 0.959 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=300 | +| 0.959 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=700 | +| 0.9589 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=300 | +| 0.9589 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=700 | +| 0.9589 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=300 | +| 0.9589 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=700 | +| 0.9589 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=700 | +| 0.9588 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=700 | +| 0.9588 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=500 | +| 0.9588 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=700 | +| 0.9587 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=300 | +| 0.9587 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=500 | +| 0.9587 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=100 | +| 0.9587 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=100 | +| 0.9586 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=300 | +| 0.9586 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=700 | +| 0.9586 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=700 | +| 0.9585 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=300 | +| 0.9585 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=500 | +| 0.9584 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=300 | +| 0.9583 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=700 | +| 0.9581 | learning_rate=0.1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=700 | +| 0.9579 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=500 | +| 0.9575 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=300 | +| 0.9573 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=500 | +| 0.9573 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=300 | +| 0.9572 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=500 | +| 0.957 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=500 | +| 0.957 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=500 | +| 0.957 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=300 | +| 0.957 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=300 | +| 0.9569 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=500 | +| 0.9569 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=500 | +| 0.9568 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=100 | +| 0.9567 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=300 | +| 0.9567 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=500 | +| 0.9567 | learning_rate=0.01, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=300 | +| 0.9567 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=500 | +| 0.956 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=700 | +| 0.9559 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=100 | +| 0.9557 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=100 | +| 0.9555 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=100 | +| 0.9554 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=100 | +| 0.9553 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=100 | +| 0.9551 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=100 | +| 0.9551 | learning_rate=0.1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=100 | +| 0.955 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=100 | +| 0.9547 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=700 | +| 0.9547 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=700 | +| 0.9547 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=700 | +| 0.9547 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=700 | +| 0.9546 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=500 | +| 0.9546 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=700 | +| 0.9543 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=300 | +| 0.9542 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=300 | +| 0.9541 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=300 | +| 0.954 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=300 | +| 0.954 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=300 | +| 0.9539 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=300 | +| 0.9539 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=300 | +| 0.9538 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=300 | +| 0.9538 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=300 | +| 0.9538 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=300 | +| 0.9537 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=500 | +| 0.9535 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=700 | +| 0.9535 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=700 | +| 0.9535 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=700 | +| 0.9534 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=700 | +| 0.9534 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=700 | +| 0.9534 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=500 | +| 0.9533 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=700 | +| 0.9533 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=700 | +| 0.9533 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=700 | +| 0.9532 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=500 | +| 0.9532 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=500 | +| 0.9531 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=700 | +| 0.9531 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=500 | +| 0.9531 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=700 | +| 0.9531 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=300 | +| 0.953 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=500 | +| 0.953 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=300 | +| 0.953 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=100 | +| 0.953 | learning_rate=0.1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=700 | +| 0.9529 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=300 | +| 0.9529 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=500 | +| 0.9529 | learning_rate=0.01, 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n_estimators=300 | +| 0.9515 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=300 | +| 0.9515 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=500 | +| 0.9515 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=300 | +| 0.9514 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=100 | +| 0.9513 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=100 | +| 0.9512 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=500 | +| 0.9512 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=500 | +| 0.9511 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=700 | +| 0.951 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=100 | +| 0.9506 | learning_rate=0.5, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=100 | +| 0.9503 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=500 | +| 0.9503 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=500 | +| 0.9503 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=700 | +| 0.9503 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=300 | +| 0.9502 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=700 | +| 0.9502 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=700 | +| 0.9498 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=300 | +| 0.9497 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=100 | +| 0.9496 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=500 | +| 0.9496 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=300 | +| 0.9495 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=300 | +| 0.9495 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=500 | +| 0.9494 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=300 | +| 0.9494 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=100 | +| 0.9494 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=100 | +| 0.9493 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=100 | +| 0.9492 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=100 | +| 0.9489 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=100 | +| 0.9488 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=100 | +| 0.9486 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=700 | +| 0.9484 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=100 | +| 0.9484 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=100 | +| 0.9483 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=300 | +| 0.9482 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=100 | +| 0.9481 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=300 | +| 0.9481 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=300 | +| 0.948 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=300 | +| 0.9478 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=300 | +| 0.9475 | learning_rate=0.01, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=100 | +| 0.9475 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=500 | +| 0.9474 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=100 | +| 0.9468 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=100 | +| 0.9455 | learning_rate=0.1, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=100 | +| 0.9454 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=100 | +| 0.9452 | learning_rate=1, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=100 | +| 0.9446 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=300 | +| 0.9445 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=100 | +| 0.9443 | learning_rate=0.1, max_features="log2", max_depth=1, 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learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=700 | +| 0.9412 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=700 | +| 0.9411 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=700 | +| 0.941 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=300 | +| 0.9409 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=700 | +| 0.9405 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=700 | +| 0.9404 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=100 | +| 0.9403 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=700 | +| 0.9403 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=100 | +| 0.94 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=500 | +| 0.94 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=100 | +| 0.9399 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=100 | +| 0.9395 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=100 | +| 0.9379 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=300 | +| 0.9373 | learning_rate=0.01, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=100 | +| 0.9372 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=500 | +| 0.9372 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=500 | +| 0.9367 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=500 | +| 0.9365 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=500 | +| 0.936 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=500 | +| 0.9356 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=500 | +| 0.9344 | learning_rate=0.5, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=700 | +| 0.9341 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=100 | +| 0.9339 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=100 | +| 0.9333 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=300 | +| 0.9329 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=300 | +| 0.9325 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=500 | +| 0.9322 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=300 | +| 0.932 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=700 | +| 0.932 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=700 | +| 0.9318 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=700 | +| 0.9309 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=300 | +| 0.9305 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=300 | +| 0.9304 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=300 | +| 0.9299 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=300 | +| 0.9294 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=700 | +| 0.9283 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=300 | +| 0.9283 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=300 | +| 0.9279 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=300 | +| 0.9279 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=300 | +| 0.9278 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=300 | +| 0.9275 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=300 | +| 0.9267 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=300 | +| 0.9254 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=500 | +| 0.9247 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=100 | +| 0.9247 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=500 | +| 0.9244 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=500 | +| 0.9233 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=700 | +| 0.923 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=500 | +| 0.9228 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=700 | +| 0.9226 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=500 | +| 0.9212 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=500 | +| 0.9203 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=700 | +| 0.9187 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=700 | +| 0.9187 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=5, n_estimators=100 | +| 0.9179 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=300 | +| 0.9176 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=700 | +| 0.9174 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=1, n_estimators=100 | +| 0.9169 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=13, n_estimators=100 | +| 0.9166 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=100 | +| 0.9163 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=7, n_estimators=100 | +| 0.9156 | learning_rate=0.01, max_features="log2", max_depth=1, min_samples_leaf=3, n_estimators=100 | +| 0.915 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=500 | +| 0.9149 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=100 | +| 0.9136 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=100 | +| 0.9131 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=100 | +| 0.9024 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=100 | +| 0.9018 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=700 | +| 0.8999 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=500 | +| 0.8976 | learning_rate=0.5, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=500 | +| 0.8968 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=500 | +| 0.8941 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=500 | +| 0.8888 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=100 | +| 0.8789 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=300 | +| 0.8781 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=500 | +| 0.8772 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=100 | +| 0.8758 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=700 | +| 0.8716 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=100 | +| 0.8714 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=700 | +| 0.8708 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=13, n_estimators=700 | +| 0.8706 | learning_rate=0.5, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=700 | +| 0.8702 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=100 | +| 0.8666 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=300 | +| 0.8593 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=300 | +| 0.8577 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=5, n_estimators=500 | +| 0.8577 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=500 | +| 0.8575 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=1, n_estimators=700 | +| 0.8556 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=300 | +| 0.851 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=700 | +| 0.8487 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=3, n_estimators=700 | +| 0.8469 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=300 | +| 0.8404 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=300 | +| 0.8402 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=1, n_estimators=300 | +| 0.8401 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=700 | +| 0.8377 | learning_rate=1, max_features="log2", max_depth=3, min_samples_leaf=7, n_estimators=700 | +| 0.8345 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=3, n_estimators=500 | +| 0.8304 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=500 | +| 0.8262 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=700 | +| 0.8227 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=300 | +| 0.8131 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=300 | +| 0.8127 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=13, n_estimators=300 | +| 0.8121 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=700 | +| 0.7922 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=700 | +| 0.7916 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=500 | +| 0.7708 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=5, n_estimators=500 | +| 0.7708 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=3, n_estimators=700 | +| 0.7706 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=500 | +| 0.7592 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=5, n_estimators=500 | +| 0.7568 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=13, n_estimators=500 | +| 0.756 | learning_rate=1, max_features="log2", max_depth=7, min_samples_leaf=7, n_estimators=700 | +| 0.7428 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=1, n_estimators=500 | +| 0.7417 | learning_rate=1, max_features="log2", max_depth=5, min_samples_leaf=7, n_estimators=700 | diff --git a/tuning_reports/eswikibooks.goodfaith.md b/tuning_reports/eswikibooks.goodfaith.md index 23202c07..acbee365 100644 --- a/tuning_reports/eswikibooks.goodfaith.md +++ b/tuning_reports/eswikibooks.goodfaith.md @@ -1,177 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.8 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.eswikibooks.goodfaith -- Date: 2017-10-12T14:36:16.459564 -- Observations: 18975 +- Date: 2021-01-28T12:09:34.698622 +- Observations: 18734 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GradientBoosting | 0.985 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7 | -| GradientBoosting | 0.9848 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7 | -| GradientBoosting | 0.9843 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5 | -| GradientBoosting | 0.9842 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7 | -| GradientBoosting | 0.9838 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5 | -| GradientBoosting | 0.9837 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7 | -| GradientBoosting | 0.9827 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7 | -| GradientBoosting | 0.9824 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7 | -| GradientBoosting | 0.9822 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5 | -| GradientBoosting | 0.9815 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9806 | | +| GradientBoosting | 0.9758 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| GradientBoosting | 0.9756 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| GradientBoosting | 0.9754 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| GradientBoosting | 0.9753 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| GradientBoosting | 0.9753 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| RandomForestClassifier | 0.9752 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=640 | +| GradientBoosting | 0.9751 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9751 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| GradientBoosting | 0.9751 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | # Models ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9806 | | -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.985 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7 | -| 0.9848 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7 | -| 0.9843 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5 | -| 0.9842 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7 | -| 0.9838 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5 | -| 0.9837 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7 | -| 0.9827 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7 | -| 0.9824 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7 | -| 0.9822 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5 | -| 0.9815 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5 | -| 0.9813 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7 | -| 0.9804 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5 | -| 0.9803 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5 | -| 0.9791 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7 | -| 0.9787 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3 | -| 0.978 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3 | -| 0.9778 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5 | -| 0.9767 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3 | -| 0.9764 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3 | -| 0.9755 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5 | -| 0.9755 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5 | -| 0.9754 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3 | -| 0.975 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5 | -| 0.9749 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3 | -| 0.9749 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3 | -| 0.9747 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3 | -| 0.9746 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7 | -| 0.9743 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1 | -| 0.9741 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1 | -| 0.9741 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5 | -| 0.974 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7 | -| 0.9736 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1 | -| 0.9736 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7 | -| 0.9736 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3 | -| 0.9734 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1 | -| 0.9734 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1 | -| 0.9729 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3 | -| 0.9728 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1 | -| 0.9727 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7 | -| 0.9726 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1 | -| 0.9725 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1 | -| 0.9724 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1 | -| 0.9723 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1 | -| 0.9718 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5 | -| 0.9715 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3 | -| 0.9714 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3 | -| 0.9709 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1 | -| 0.9699 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7 | -| 0.9699 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3 | -| 0.9688 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5 | -| 0.9682 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5 | -| 0.9682 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1 | -| 0.9663 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | -| 0.9658 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7 | -| 0.9648 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1 | -| 0.9639 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3 | -| 0.9622 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3 | -| 0.9567 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1 | -| 0.9515 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7 | -| 0.936 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1 | -| 0.9141 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5 | -| 0.9003 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7 | -| 0.8948 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5 | -| 0.8876 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3 | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8164 | C=10, penalty="l2" | +| 0.8153 | C=0.1, penalty="l2" | +| 0.8103 | C=1, penalty="l2" | -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9364 | | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9758 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9756 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9754 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9753 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9753 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9751 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9751 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9751 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9751 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.975 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.975 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.975 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.975 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.975 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9749 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9749 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9749 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9749 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9748 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9748 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9748 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9748 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9748 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9748 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9747 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9747 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9747 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9747 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9747 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9747 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9746 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9746 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9746 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9745 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9745 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9745 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9744 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, 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n_estimators=300 | +| 0.9728 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9728 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9727 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9726 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9725 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9725 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9725 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9724 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9724 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9724 | min_samples_leaf=7, 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n_estimators=300 | +| 0.972 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9719 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9719 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9719 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9719 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9719 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9719 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9718 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9718 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9718 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9717 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9717 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9717 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9717 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9717 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9717 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9716 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9716 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9716 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9715 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9715 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9715 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9715 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9715 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9715 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9715 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9714 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9714 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9713 | min_samples_leaf=13, 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n_estimators=100 | +| 0.9709 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9708 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9707 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9707 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9706 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9706 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9706 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9705 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9704 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9704 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9701 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9701 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.97 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9698 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9698 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9697 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9697 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9696 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9695 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9694 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9694 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9694 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9694 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9693 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9693 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9693 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9693 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9693 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9692 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9692 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9691 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.969 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9689 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9688 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9688 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9686 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9685 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9685 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9682 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.968 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9679 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9676 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9673 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9673 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9672 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.967 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.967 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9667 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9666 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9666 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9666 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9664 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9663 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9661 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.966 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9659 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9658 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9657 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9654 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9654 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9652 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9652 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9652 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9649 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9649 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9648 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9646 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9646 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9645 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9644 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9642 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.964 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9639 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9639 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9636 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9635 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9635 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9633 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9627 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9626 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9626 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9622 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9621 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9619 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9604 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9585 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9585 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9584 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9581 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.958 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.958 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9574 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9567 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9567 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9563 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9559 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9554 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9552 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9552 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9549 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9547 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9539 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9533 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.953 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.953 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9518 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9517 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9503 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9496 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9493 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9493 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9474 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9473 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9472 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9472 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9466 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9461 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9457 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9447 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9431 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9424 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.942 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9408 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9408 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9408 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9396 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.938 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9376 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9372 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9342 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9309 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9298 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9294 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9293 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.926 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.926 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9249 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9248 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9243 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9228 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9205 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.92 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9137 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9114 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9099 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.908 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9071 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9052 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9015 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8923 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8828 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8803 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8777 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8768 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8733 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8719 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8702 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8687 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8662 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8632 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8608 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8607 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8606 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8551 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8525 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8496 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8489 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8469 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8466 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8402 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8368 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8332 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.832 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8314 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8314 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8285 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8268 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8262 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8229 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.819 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8159 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8135 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.7971 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.7739 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7712 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.7692 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.7632 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.7392 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.98 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | -| 0.9799 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | -| 0.9798 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | -| 0.9793 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | -| 0.9793 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | -| 0.979 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | -| 0.9788 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | -| 0.9786 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | -| 0.9786 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | -| 0.9784 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | -| 0.9782 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | -| 0.9782 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | -| 0.978 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | -| 0.978 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | -| 0.9778 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | -| 0.9778 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | -| 0.9774 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | -| 0.9773 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | -| 0.9771 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | -| 0.9769 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | -| 0.9768 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | -| 0.9768 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | -| 0.9767 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | -| 0.9766 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | -| 0.9766 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | -| 0.9762 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | -| 0.9762 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | -| 0.9761 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | -| 0.9761 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | -| 0.9761 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | -| 0.976 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | -| 0.9759 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | -| 0.9759 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | -| 0.9759 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | -| 0.9758 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | -| 0.9758 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | -| 0.9757 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | -| 0.9756 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | -| 0.9756 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | -| 0.9755 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | -| 0.9754 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | -| 0.9753 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | -| 0.975 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | -| 0.975 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | -| 0.9749 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | -| 0.9749 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | -| 0.9749 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | -| 0.9749 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | -| 0.9748 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | -| 0.9748 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | -| 0.9745 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | -| 0.9743 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | -| 0.9742 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | -| 0.974 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | -| 0.974 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | -| 0.9738 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | -| 0.9738 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | -| 0.9736 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | -| 0.9736 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | -| 0.973 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | -| 0.9729 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | -| 0.9722 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9752 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=640 | +| 0.9751 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=640 | +| 0.9751 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=640 | +| 0.9748 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=320 | +| 0.9748 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=320 | +| 0.9747 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=80 | +| 0.9746 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=320 | +| 0.9746 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=640 | +| 0.9746 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=160 | +| 0.9745 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | +| 0.9744 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=640 | +| 0.9744 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=320 | +| 0.9743 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | +| 0.9742 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=80 | +| 0.9741 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=640 | +| 0.9741 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=320 | +| 0.974 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=320 | +| 0.974 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=160 | +| 0.9738 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=320 | +| 0.9737 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=640 | +| 0.9737 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | +| 0.9736 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=80 | +| 0.9736 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=640 | +| 0.9736 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | +| 0.9735 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=320 | +| 0.9734 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | +| 0.9734 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=80 | +| 0.9734 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=40 | +| 0.9734 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=160 | +| 0.9734 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=640 | +| 0.9733 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=160 | +| 0.9733 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | +| 0.9733 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=320 | +| 0.973 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | +| 0.973 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=160 | +| 0.973 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=80 | +| 0.9728 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=40 | +| 0.9726 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | +| 0.9725 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=320 | +| 0.9724 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=160 | +| 0.9724 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=40 | +| 0.9723 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=80 | +| 0.9723 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=640 | +| 0.9721 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | +| 0.972 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=40 | +| 0.9718 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=40 | +| 0.9717 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=40 | +| 0.9717 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=20 | +| 0.9716 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=20 | +| 0.9711 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=20 | +| 0.9711 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=80 | +| 0.971 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=20 | +| 0.971 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=40 | +| 0.9708 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=20 | +| 0.9707 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=20 | +| 0.9706 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=20 | +| 0.9699 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=20 | +| 0.9697 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=10 | +| 0.9694 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=10 | +| 0.9688 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=10 | +| 0.9681 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=10 | +| 0.9677 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=10 | +| 0.9676 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=10 | +| 0.967 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=40 | +| 0.9665 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=10 | +| 0.9661 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=10 | +| 0.965 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=20 | +| 0.9628 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=20 | +| 0.957 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=10 | +| 0.9535 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=10 | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9615 | C=10, penalty="l1" | -| 0.9593 | C=1, penalty="l1" | -| 0.9576 | C=0.1, penalty="l1" | -| 0.8261 | C=1, penalty="l2" | -| 0.8125 | C=10, penalty="l2" | -| 0.8087 | C=0.1, penalty="l2" | +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9471 | | diff --git a/tuning_reports/eswikiquote.damaging.md b/tuning_reports/eswikiquote.damaging.md index 30992399..5199d008 100644 --- a/tuning_reports/eswikiquote.damaging.md +++ b/tuning_reports/eswikiquote.damaging.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.eswikiquote.damaging -- Date: 2019-01-21T21:26:47.647845 -- Observations: 11734 +- Date: 2021-01-28T12:38:43.247802 +- Observations: 9421 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9452 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9444 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9439 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| RandomForestClassifier | 0.9438 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9438 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9436 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2" | -| RandomForestClassifier | 0.9436 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9435 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9433 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9432 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.949 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=7 | +| GradientBoosting | 0.949 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=7 | +| GradientBoosting | 0.9489 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=7 | +| GradientBoosting | 0.9488 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=3 | +| GradientBoosting | 0.9485 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=5 | +| GradientBoosting | 0.9484 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=3 | +| GradientBoosting | 0.9483 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=3 | +| GradientBoosting | 0.9482 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=3 | +| GradientBoosting | 0.948 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=7 | +| GradientBoosting | 0.948 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=3 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9439 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9436 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.943 | n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9427 | n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9421 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9418 | n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.9417 | n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9416 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9416 | n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.9415 | n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9396 | n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9395 | n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9394 | n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.939 | n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9388 | n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9384 | n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.938 | n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.9379 | n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.9377 | n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.9374 | n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.9373 | n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.936 | n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9356 | n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.9355 | n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.9352 | n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.9347 | n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9344 | n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.9325 | n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.9321 | n_estimators=100, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9316 | n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9315 | n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.9309 | n_estimators=500, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9305 | n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.9296 | n_estimators=300, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9278 | n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.927 | n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.9269 | n_estimators=700, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9255 | n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.9251 | n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9239 | n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9223 | n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.921 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.9209 | n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.915 | n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.9138 | n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.9106 | n_estimators=300, learning_rate=1, max_depth=3, max_features="log2" | -| 0.9096 | n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.9058 | n_estimators=100, learning_rate=1, max_depth=3, max_features="log2" | -| 0.8995 | n_estimators=100, learning_rate=1, max_depth=5, max_features="log2" | -| 0.8968 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.8949 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.8932 | n_estimators=500, learning_rate=1, max_depth=3, max_features="log2" | -| 0.8905 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.8875 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.8867 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.8852 | n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.883 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| 0.8823 | n_estimators=300, learning_rate=1, max_depth=5, max_features="log2" | -| 0.8786 | n_estimators=100, learning_rate=1, max_depth=7, max_features="log2" | -| 0.8715 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| 0.8706 | n_estimators=300, learning_rate=1, max_depth=7, max_features="log2" | -| 0.8677 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| 0.8673 | n_estimators=700, learning_rate=1, max_depth=3, max_features="log2" | -| 0.8631 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | - ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9452 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9444 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9438 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9438 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9436 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9435 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9433 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9432 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9431 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9431 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9428 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9424 | n_estimators=640, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9419 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9417 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9414 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9414 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9414 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.941 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.941 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9408 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9408 | n_estimators=640, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9407 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9405 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9404 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9403 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9403 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9403 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9402 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9401 | n_estimators=640, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9401 | n_estimators=640, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9397 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9397 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9395 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9394 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9394 | n_estimators=640, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.939 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.939 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9389 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9388 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9387 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9385 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9377 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9373 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9372 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.937 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.937 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9366 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9365 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9354 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9353 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9353 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9341 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9339 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9339 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9329 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9321 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9311 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9294 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9293 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9288 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9285 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9283 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9261 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9252 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.925 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9243 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9212 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9165 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8997 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8993 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8674 | C=0.1, penalty="l1" | -| 0.8457 | C=1, penalty="l1" | -| 0.8373 | C=10, penalty="l1" | -| 0.6436 | C=10, penalty="l2" | -| 0.6408 | C=1, penalty="l2" | -| 0.6342 | C=0.1, penalty="l2" | +| 0.9479 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=640 | +| 0.9474 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | +| 0.9464 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | +| 0.9462 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=640 | +| 0.946 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | +| 0.9459 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | +| 0.9459 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=640 | +| 0.9458 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=640 | +| 0.9457 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=640 | +| 0.9454 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | +| 0.9453 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | +| 0.9451 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | +| 0.9451 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | +| 0.945 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=640 | +| 0.9449 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | +| 0.9447 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | +| 0.9444 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | +| 0.9444 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | +| 0.9443 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=320 | +| 0.9441 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=640 | +| 0.9441 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=640 | +| 0.944 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=640 | +| 0.9439 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | +| 0.9439 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | +| 0.9438 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | +| 0.9437 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=320 | +| 0.9435 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | +| 0.943 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | +| 0.943 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | +| 0.943 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | +| 0.9429 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | +| 0.9426 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | +| 0.9425 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | +| 0.9423 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | +| 0.9423 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | +| 0.9422 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | +| 0.9416 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | +| 0.9416 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | +| 0.9416 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | +| 0.9415 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=320 | +| 0.9413 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=640 | +| 0.9412 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | +| 0.9411 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | +| 0.9411 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | +| 0.9409 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | +| 0.9408 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | +| 0.9407 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | +| 0.9401 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | +| 0.94 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | +| 0.9393 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | +| 0.9392 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | +| 0.9392 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | +| 0.939 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | +| 0.936 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | +| 0.9358 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | +| 0.9354 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | +| 0.9347 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | +| 0.9347 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | +| 0.9346 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | +| 0.9344 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | +| 0.9336 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | +| 0.9334 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | +| 0.931 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | +| 0.9309 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | +| 0.9295 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | +| 0.9271 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | +| 0.9258 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | +| 0.9251 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | +| 0.9116 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | +| 0.908 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.701 | | +| 0.9098 | | + +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8778 | C=1, penalty="l2" | +| 0.8775 | C=10, penalty="l2" | +| 0.8762 | C=0.1, penalty="l2" | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8647 | | +| 0.851 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.949 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=7 | +| 0.949 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=7 | +| 0.9489 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=7 | +| 0.9488 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=3 | +| 0.9485 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=5 | +| 0.9484 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=3 | +| 0.9483 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=3 | +| 0.9482 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=3 | +| 0.948 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=7 | +| 0.948 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=3 | +| 0.948 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=3 | +| 0.9479 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=3 | +| 0.9479 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=3 | +| 0.9478 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=5 | +| 0.9477 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=3 | +| 0.9476 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=5 | +| 0.9476 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=5 | +| 0.9475 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=7 | +| 0.9474 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=5 | +| 0.9474 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=3 | +| 0.9473 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=3 | +| 0.9473 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=3 | +| 0.9473 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=7 | +| 0.9473 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=3 | +| 0.9472 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=5 | +| 0.9472 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=3 | +| 0.9472 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=5 | +| 0.9471 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=5 | +| 0.9471 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=7 | +| 0.9471 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=5 | +| 0.9471 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=5 | +| 0.947 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=5 | +| 0.947 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=5 | +| 0.947 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=5 | +| 0.947 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=3 | +| 0.9468 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=7 | +| 0.9468 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=5 | +| 0.9466 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=5 | +| 0.9465 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=7 | +| 0.9463 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=5 | +| 0.9463 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=7 | +| 0.9461 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=7 | +| 0.9461 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=7 | +| 0.9461 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=7 | +| 0.9461 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=5 | +| 0.946 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=7 | +| 0.946 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=5 | +| 0.9458 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=5 | +| 0.9455 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=5 | +| 0.9455 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=5 | +| 0.9453 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=5 | +| 0.9452 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=7 | +| 0.9452 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=5 | +| 0.9451 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=7 | +| 0.9451 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=5 | +| 0.945 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=5 | +| 0.9448 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=7 | +| 0.9447 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=3 | +| 0.9446 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=5 | +| 0.9443 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=7 | +| 0.9443 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=5 | +| 0.9443 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=7 | +| 0.944 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=3 | +| 0.9439 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=5 | +| 0.9439 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=7 | +| 0.9436 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=7 | +| 0.9436 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=7 | +| 0.9436 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=7 | +| 0.9436 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=5 | +| 0.9433 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=3 | +| 0.9432 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=5 | +| 0.9429 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=7 | +| 0.9429 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=3 | +| 0.9428 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=3 | +| 0.9426 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=7 | +| 0.9426 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=3 | +| 0.9425 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=3 | +| 0.9425 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=3 | +| 0.9423 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=3 | +| 0.942 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=3 | +| 0.942 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=1 | +| 0.942 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=1 | +| 0.9419 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=3 | +| 0.9417 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=1 | +| 0.9417 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=1 | +| 0.9417 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=1 | +| 0.9416 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=1 | +| 0.9414 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=3 | +| 0.9414 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=5 | +| 0.9414 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=5 | +| 0.9414 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=1 | +| 0.9414 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=1 | +| 0.9414 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=1 | +| 0.9413 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=5 | +| 0.9413 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=5 | +| 0.9413 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=1 | +| 0.9412 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=3 | +| 0.9412 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=1 | +| 0.9412 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=5 | +| 0.9412 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=1 | +| 0.9411 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=1 | +| 0.941 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=7 | +| 0.9409 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=1 | +| 0.9409 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=1 | +| 0.9409 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=1 | +| 0.9408 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=1 | +| 0.9408 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=1 | +| 0.9407 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=1 | +| 0.9407 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=3 | +| 0.9406 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=7 | +| 0.9405 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=1 | +| 0.9405 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=1 | +| 0.9404 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=1 | +| 0.9403 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=1 | +| 0.9403 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=3 | +| 0.9403 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=1 | +| 0.9403 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=1 | +| 0.9403 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=3 | +| 0.9402 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=3 | +| 0.9402 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=1 | +| 0.9401 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=1 | +| 0.9401 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=1 | +| 0.9401 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=3 | +| 0.94 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=7 | +| 0.94 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=1 | +| 0.9399 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=1 | +| 0.9398 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=1 | +| 0.9397 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=1 | +| 0.9397 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=1 | +| 0.9396 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=1 | +| 0.9396 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=7 | +| 0.9396 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=3 | +| 0.9395 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=1 | +| 0.9394 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=1 | +| 0.9391 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=3 | +| 0.9391 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=7 | +| 0.9386 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=3 | +| 0.9385 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=1 | +| 0.9382 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=3 | +| 0.938 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=3 | +| 0.9376 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=3 | +| 0.9373 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=5 | +| 0.937 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=1 | +| 0.9368 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=5 | +| 0.9368 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=7 | +| 0.9367 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=5 | +| 0.9366 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=5 | +| 0.9365 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=5 | +| 0.9363 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=1 | +| 0.9362 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=7 | +| 0.9362 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=5 | +| 0.9362 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=1 | +| 0.9359 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=3 | +| 0.9357 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=1 | +| 0.9357 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=3 | +| 0.9357 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=3 | +| 0.9356 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=3 | +| 0.9356 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=1 | +| 0.9356 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=1 | +| 0.9355 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=5 | +| 0.9354 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=3 | +| 0.9353 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=1 | +| 0.9352 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=1 | +| 0.9351 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=1 | +| 0.935 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=1 | +| 0.935 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=3 | +| 0.9349 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=3 | +| 0.9345 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=7 | +| 0.9345 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=1 | +| 0.9342 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=1 | +| 0.9342 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=7 | +| 0.9342 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=3 | +| 0.9341 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=1 | +| 0.9339 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=1 | +| 0.9335 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=3 | +| 0.9331 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=3 | +| 0.9331 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=1 | +| 0.933 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=1 | +| 0.9328 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=1 | +| 0.9325 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=7 | +| 0.9322 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=1 | +| 0.9321 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=1 | +| 0.9319 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=1 | +| 0.9319 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=5 | +| 0.9317 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=1 | +| 0.9316 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=1 | +| 0.9316 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=1 | +| 0.9315 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=3 | +| 0.9315 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=1 | +| 0.9314 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=1 | +| 0.9308 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=1 | +| 0.9307 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=3 | +| 0.9304 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=3 | +| 0.9304 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=3 | +| 0.9303 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=3 | +| 0.9302 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=3 | +| 0.93 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=5 | +| 0.9298 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=1 | +| 0.9297 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=1 | +| 0.9295 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=3 | +| 0.9291 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=3 | +| 0.9287 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=3 | +| 0.9282 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=5 | +| 0.9281 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=1 | +| 0.9281 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=1 | +| 0.9279 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=7 | +| 0.9276 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=1 | +| 0.9276 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=1 | +| 0.9272 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=1 | +| 0.9267 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=7 | +| 0.9266 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=3 | +| 0.9266 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=3 | +| 0.9264 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=7 | +| 0.9256 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=7 | +| 0.9254 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=7 | +| 0.9229 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=7 | +| 0.922 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=3 | +| 0.922 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=7 | +| 0.9215 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=7 | +| 0.9207 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=7 | +| 0.9202 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=3 | +| 0.9198 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=3 | +| 0.9192 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=3 | +| 0.918 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=1 | +| 0.918 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=5 | +| 0.9176 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=7 | +| 0.9174 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=1 | +| 0.9173 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=5 | +| 0.9172 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=1 | +| 0.9172 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=1 | +| 0.9168 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=5 | +| 0.916 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=5 | +| 0.916 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=1 | +| 0.9153 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=3 | +| 0.9145 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=3 | +| 0.9138 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=5 | +| 0.9132 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=5 | +| 0.9122 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=3 | +| 0.9111 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=7 | +| 0.911 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=5 | +| 0.9105 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=7 | +| 0.9104 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=5 | +| 0.91 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=7 | +| 0.9098 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=5 | +| 0.9097 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=3 | +| 0.9081 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=5 | +| 0.9081 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=5 | +| 0.9079 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=5 | +| 0.9079 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=7 | +| 0.9076 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=5 | +| 0.9075 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=7 | +| 0.907 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=7 | +| 0.9064 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=5 | +| 0.9062 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=3 | +| 0.9062 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=7 | +| 0.9057 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=7 | +| 0.905 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=7 | +| 0.9048 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=5 | +| 0.9046 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=7 | +| 0.9045 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=5 | +| 0.904 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=7 | +| 0.9038 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=1 | +| 0.9037 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=7 | +| 0.9036 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=1 | +| 0.9035 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=1 | +| 0.9028 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=5 | +| 0.9015 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=3 | +| 0.9006 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=7 | +| 0.8998 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=3 | +| 0.8991 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=1 | +| 0.8971 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=1 | +| 0.8967 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=5 | +| 0.8959 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=7 | +| 0.8959 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=7 | +| 0.8956 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=7 | +| 0.8941 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=7 | +| 0.8918 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=5 | +| 0.8902 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=3 | +| 0.8896 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=7 | +| 0.8885 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=5 | +| 0.8885 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=7 | +| 0.888 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=7 | +| 0.8877 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=5 | +| 0.8868 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=7 | +| 0.8859 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=7 | +| 0.8858 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=7 | +| 0.8852 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=7 | +| 0.8846 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=5 | +| 0.8843 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=7 | +| 0.8839 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=7 | +| 0.8829 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=7 | +| 0.8789 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=3 | +| 0.8775 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=7 | +| 0.8755 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=5 | +| 0.8713 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=5 | +| 0.8668 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=5 | +| 0.8646 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=7 | +| 0.8624 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=3 | +| 0.861 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=7 | +| 0.8598 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=5 | +| 0.8587 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=7 | +| 0.8567 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=5 | +| 0.8498 | max_features="log2", min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=3 | +| 0.8479 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=5 | +| 0.8474 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=5 | +| 0.8444 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=7 | +| 0.8395 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=5 | +| 0.8388 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=5 | +| 0.8359 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=5 | +| 0.8324 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=7 | +| 0.8308 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=3 | +| 0.83 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=5 | +| 0.8218 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=3 | +| 0.8143 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=7 | +| 0.8058 | max_features="log2", min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=3 | +| 0.8002 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=5 | +| 0.7973 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=7 | +| 0.796 | max_features="log2", min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=3 | +| 0.792 | max_features="log2", min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=5 | +| 0.7787 | max_features="log2", min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=3 | diff --git a/tuning_reports/eswikiquote.goodfaith.md b/tuning_reports/eswikiquote.goodfaith.md index 7aff914a..98d8a56f 100644 --- a/tuning_reports/eswikiquote.goodfaith.md +++ b/tuning_reports/eswikiquote.goodfaith.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.eswikiquote.goodfaith -- Date: 2019-01-21T21:43:26.835915 -- Observations: 11734 +- Date: 2021-01-28T12:52:58.619940 +- Observations: 9421 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GradientBoosting | 0.976 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9759 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9749 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9747 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9743 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9742 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9737 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9734 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9727 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9725 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:-------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9644 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| GradientBoosting | 0.9641 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| GradientBoosting | 0.9638 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| GradientBoosting | 0.9636 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| GradientBoosting | 0.9635 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| GradientBoosting | 0.9634 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| GradientBoosting | 0.9633 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| GradientBoosting | 0.9633 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| GradientBoosting | 0.9633 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| RandomForestClassifier | 0.9632 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | # Models -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8599 | | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8814 | | - ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9599 | n_estimators=640, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9597 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9593 | n_estimators=80, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9593 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9589 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9588 | n_estimators=640, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9587 | n_estimators=640, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9586 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9581 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.958 | n_estimators=80, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9579 | n_estimators=40, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9576 | n_estimators=640, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9576 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9576 | n_estimators=40, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9575 | n_estimators=160, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9574 | n_estimators=80, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9574 | n_estimators=80, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9573 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9572 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9571 | n_estimators=40, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9571 | n_estimators=80, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.957 | n_estimators=80, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9569 | n_estimators=320, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9569 | n_estimators=20, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9568 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9567 | n_estimators=160, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9566 | n_estimators=40, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9565 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9563 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9562 | n_estimators=640, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9561 | n_estimators=20, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9558 | n_estimators=640, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9558 | n_estimators=320, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9556 | n_estimators=40, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9556 | n_estimators=40, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9554 | n_estimators=640, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9553 | n_estimators=160, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9553 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9552 | n_estimators=320, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9552 | n_estimators=80, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9552 | n_estimators=10, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9551 | n_estimators=20, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9549 | n_estimators=640, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9548 | n_estimators=40, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9546 | n_estimators=80, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9546 | n_estimators=40, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9545 | n_estimators=640, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9544 | n_estimators=160, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9543 | n_estimators=20, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.954 | n_estimators=40, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9539 | n_estimators=20, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9539 | n_estimators=20, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9538 | n_estimators=10, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9537 | n_estimators=160, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9535 | n_estimators=320, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9534 | n_estimators=80, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9534 | n_estimators=20, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9533 | n_estimators=40, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9533 | n_estimators=10, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9532 | n_estimators=640, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9527 | n_estimators=10, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9515 | n_estimators=10, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9512 | n_estimators=20, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9512 | n_estimators=20, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.951 | n_estimators=20, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.951 | n_estimators=10, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9495 | n_estimators=10, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9488 | n_estimators=10, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9486 | n_estimators=10, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9468 | n_estimators=10, criterion="gini", min_samples_leaf=13, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9632 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | +| 0.9627 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=640 | +| 0.9619 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=640 | +| 0.9615 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | +| 0.9615 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | +| 0.9615 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=640 | +| 0.9613 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | +| 0.9612 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=640 | +| 0.9611 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | +| 0.9604 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | +| 0.9603 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=640 | +| 0.9603 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=640 | +| 0.9603 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | +| 0.9601 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | +| 0.9601 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | +| 0.9597 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | +| 0.9596 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=640 | +| 0.9591 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | +| 0.959 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | +| 0.9589 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=320 | +| 0.9587 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | +| 0.9587 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | +| 0.9586 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=640 | +| 0.9586 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | +| 0.9586 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=320 | +| 0.9585 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=640 | +| 0.9584 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | +| 0.9583 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | +| 0.9582 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | +| 0.9581 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | +| 0.9579 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | +| 0.9577 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | +| 0.9576 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | +| 0.9575 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | +| 0.9574 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | +| 0.957 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | +| 0.9569 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=640 | +| 0.9568 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | +| 0.9563 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | +| 0.9563 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=320 | +| 0.9559 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | +| 0.9559 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | +| 0.9558 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | +| 0.9558 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | +| 0.9556 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | +| 0.9555 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | +| 0.9544 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | +| 0.9536 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | +| 0.9535 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | +| 0.9531 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | +| 0.9527 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | +| 0.952 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | +| 0.952 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | +| 0.9519 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | +| 0.9518 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | +| 0.9515 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | +| 0.9514 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | +| 0.9503 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | +| 0.9502 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | +| 0.9498 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | +| 0.9492 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | +| 0.9485 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | +| 0.9471 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | +| 0.9448 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | +| 0.9444 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | +| 0.9439 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | +| 0.9425 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | +| 0.9389 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | +| 0.9274 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | +| 0.9272 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | + +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.899 | C=10, penalty="l2" | +| 0.8979 | C=0.1, penalty="l2" | +| 0.8972 | C=1, penalty="l2" | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.976 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| 0.9759 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.9749 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.9747 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| 0.9743 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.9742 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | -| 0.9737 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| 0.9734 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.9727 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.9725 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.9714 | n_estimators=300, learning_rate=1, max_depth=5, max_features="log2" | -| 0.9714 | n_estimators=300, learning_rate=1, max_depth=7, max_features="log2" | -| 0.9698 | n_estimators=700, learning_rate=1, max_depth=3, max_features="log2" | -| 0.9698 | n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.9696 | n_estimators=100, learning_rate=1, max_depth=7, max_features="log2" | -| 0.9694 | n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.9661 | n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.9646 | n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9634 | n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.9617 | n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9609 | n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9599 | n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9595 | n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9589 | n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9585 | n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.9583 | n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9582 | n_estimators=100, learning_rate=1, max_depth=5, max_features="log2" | -| 0.958 | n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9579 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.9577 | n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.9576 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9575 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.9575 | n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.957 | n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.9569 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9569 | n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.9568 | n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.9567 | n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.9566 | n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9565 | n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.9563 | n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.9557 | n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9556 | n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.9556 | n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.955 | n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.9548 | n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.9541 | n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.954 | n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.9536 | n_estimators=500, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9523 | n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.9522 | n_estimators=500, learning_rate=1, max_depth=3, max_features="log2" | -| 0.9519 | n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.9513 | n_estimators=700, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9503 | n_estimators=100, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9499 | n_estimators=300, learning_rate=1, max_depth=3, max_features="log2" | -| 0.9494 | n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.9493 | n_estimators=300, learning_rate=1, max_depth=1, max_features="log2" | -| 0.9489 | n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.9488 | n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.9467 | n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.9431 | n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.9348 | n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.9217 | n_estimators=100, learning_rate=1, max_depth=3, max_features="log2" | -| 0.9105 | n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9644 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9641 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9638 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9636 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9635 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9634 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9633 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9633 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9633 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.963 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9629 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9625 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.9624 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9623 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9623 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9622 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9622 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9621 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.962 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9619 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9618 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9618 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9618 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9615 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9614 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9613 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9613 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9613 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9612 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9611 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9611 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9611 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9611 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9609 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9608 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9608 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9607 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9607 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9606 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9606 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9605 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9605 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9604 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9604 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9604 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9604 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9604 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9604 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9604 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9603 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9602 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9601 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9601 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.96 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.96 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.96 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.96 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9599 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9599 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9599 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9598 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9597 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9597 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9596 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9596 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.9596 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9596 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9595 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9595 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9593 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9593 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9593 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9593 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9592 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9591 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9591 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9591 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.959 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.959 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9589 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9589 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9588 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9588 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9586 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9586 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9585 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9584 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9584 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9584 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9582 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.958 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9578 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9578 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9578 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9577 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9577 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9576 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9576 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9576 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9575 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9575 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9572 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9571 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.957 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.957 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.957 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9569 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9568 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9568 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9568 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9567 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9567 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9567 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9566 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9566 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9566 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9565 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9565 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9564 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9561 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9559 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9559 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9556 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9554 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9554 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9548 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9548 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9546 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.9545 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9545 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9544 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9543 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9542 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.954 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9537 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9537 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.9536 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9531 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9531 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.953 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.953 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9529 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9529 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9529 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9528 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9527 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9527 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9527 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9525 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9524 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9522 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9519 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9519 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9519 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9518 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9516 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.9516 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.9515 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.9515 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9514 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9513 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9512 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.9512 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9512 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9512 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9511 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9511 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9506 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9506 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9504 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9499 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9499 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9497 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.9496 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9493 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9491 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9491 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.9487 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.9486 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.948 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.9479 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.9478 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9478 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9476 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.9474 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9473 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9471 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.947 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.9469 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9469 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9467 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9467 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.9458 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9457 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9457 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.9454 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9444 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9443 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9442 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9437 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.9431 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.9423 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9418 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9414 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9414 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9413 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9413 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9401 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9399 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.9398 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9394 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.9388 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9388 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.9387 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9385 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9379 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9379 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9379 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9375 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9364 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.936 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9359 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9345 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.934 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.9338 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.9335 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.9325 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.9323 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.9309 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.9296 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9285 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.9278 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.9278 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.9277 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.9274 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.9274 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.9273 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.9273 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.927 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.9269 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.9266 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.9262 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.9262 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.9261 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.926 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.9255 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.9247 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.9247 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.9244 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.9242 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.924 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9233 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.9225 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.9224 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.922 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.9218 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.9208 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.9197 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9193 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.9183 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.9183 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9183 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9178 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.9175 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.9144 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.9143 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.914 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.9118 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.911 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.91 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.91 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.9096 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.9096 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.908 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.9076 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.9076 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.9057 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.9054 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.905 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.9033 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.9032 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.9026 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.9023 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.9018 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.901 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.9004 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.899 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.8929 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.8898 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.8798 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.8795 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8795 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.879 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.878 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.8779 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.8769 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.8759 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8706 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.863 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8627 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.8595 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.8578 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.8567 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.8555 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.8537 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.8471 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8417 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.8398 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.822 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.8215 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.8186 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.8181 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.8173 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.8167 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.8051 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.8008 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.8005 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.7999 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.7877 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.7835 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=1 | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9137 | C=0.1, penalty="l1" | -| 0.8538 | C=10, penalty="l1" | -| 0.8528 | C=1, penalty="l1" | -| 0.6421 | C=10, penalty="l2" | -| 0.641 | C=1, penalty="l2" | -| 0.6351 | C=0.1, penalty="l2" | +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9263 | | + +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8877 | | diff --git a/tuning_reports/etwiki.damaging.md b/tuning_reports/etwiki.damaging.md index 971a4c06..b2452fb5 100644 --- a/tuning_reports/etwiki.damaging.md +++ b/tuning_reports/etwiki.damaging.md @@ -1,168 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.etwiki.damaging -- Date: 2017-09-04T11:48:32.392326 -- Observations: 19839 +- Date: 2021-01-28T13:07:23.941521 +- Observations: 19126 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:-----------------------------------------------------------------------| -| GradientBoosting | 0.9635 | max_depth=5, n_estimators=700, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9634 | max_depth=3, n_estimators=300, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9629 | max_depth=7, n_estimators=700, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9621 | max_depth=3, n_estimators=500, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.962 | max_depth=7, n_estimators=500, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9617 | max_depth=3, n_estimators=700, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9615 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9615 | max_depth=7, n_estimators=100, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9615 | max_depth=3, n_estimators=100, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.961 | max_depth=5, n_estimators=300, learning_rate=0.1, max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9621 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_depth=3 | +| GradientBoosting | 0.9618 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=3 | +| GradientBoosting | 0.9615 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=3 | +| GradientBoosting | 0.9613 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=3 | +| GradientBoosting | 0.9609 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_depth=5 | +| GradientBoosting | 0.9605 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_depth=5 | +| GradientBoosting | 0.9602 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=7 | +| GradientBoosting | 0.9601 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=7 | +| GradientBoosting | 0.96 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=5 | +| GradientBoosting | 0.96 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=3 | # Models ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9584 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | -| 0.9584 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | -| 0.9583 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | -| 0.9564 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | -| 0.9562 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | -| 0.9561 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | -| 0.956 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | -| 0.956 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | -| 0.9558 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | -| 0.9558 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | -| 0.9549 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | -| 0.9547 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | -| 0.9544 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | -| 0.954 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | -| 0.9539 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | -| 0.9531 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | -| 0.9531 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | -| 0.953 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | -| 0.9529 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | -| 0.9527 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | -| 0.9521 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | -| 0.9518 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | -| 0.9515 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | -| 0.951 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | -| 0.9507 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | -| 0.9503 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | -| 0.95 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | -| 0.9497 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | -| 0.9481 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | -| 0.948 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | -| 0.9461 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | -| 0.9458 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | -| 0.9454 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | -| 0.945 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | -| 0.9449 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | -| 0.9422 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | -| 0.9412 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | -| 0.9409 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | -| 0.9405 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | -| 0.9403 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | -| 0.9389 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | -| 0.9351 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | -| 0.9348 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | -| 0.9328 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | -| 0.9321 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | -| 0.9307 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | -| 0.927 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | -| 0.9262 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | -| 0.9245 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | -| 0.9031 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | -| 0.9001 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | -| 0.8732 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | -| 0.8607 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | +| 0.9543 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9538 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9535 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9535 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9535 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.953 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9528 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9525 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9523 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9517 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9515 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9515 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9514 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9514 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9501 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9498 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9492 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9491 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9488 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9487 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9487 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9486 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9482 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9478 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9472 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9472 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.947 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9468 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9467 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9467 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9466 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9454 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9451 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.945 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9449 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9447 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9446 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9437 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.943 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.942 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9419 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9418 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9413 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9397 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9396 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9391 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9388 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9387 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9364 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9355 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9353 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9338 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.9336 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9334 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.9329 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9311 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.9304 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.9301 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9296 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9281 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.9257 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.9228 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.9196 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.9185 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.9138 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.9108 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.9022 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.8935 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.8695 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=1 | +| 0.8588 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=1 | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9635 | max_depth=5, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9634 | max_depth=3, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9629 | max_depth=7, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9621 | max_depth=3, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.962 | max_depth=7, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9617 | max_depth=3, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9615 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9615 | max_depth=7, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9615 | max_depth=3, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.961 | max_depth=5, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.961 | max_depth=5, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9603 | max_depth=1, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9603 | max_depth=5, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9594 | max_depth=1, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9594 | max_depth=7, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9593 | max_depth=1, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9593 | max_depth=1, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9587 | max_depth=1, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9586 | max_depth=3, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9583 | max_depth=5, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9582 | max_depth=7, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9576 | max_depth=7, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9575 | max_depth=1, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9575 | max_depth=5, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9569 | max_depth=1, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9566 | max_depth=7, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9553 | max_depth=3, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9548 | max_depth=7, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9541 | max_depth=3, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9532 | max_depth=1, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9531 | max_depth=1, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9518 | max_depth=1, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.9516 | max_depth=7, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9502 | max_depth=3, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9498 | max_depth=1, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9491 | max_depth=3, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9486 | max_depth=5, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9484 | max_depth=5, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9479 | max_depth=3, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.947 | max_depth=5, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.947 | max_depth=3, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.947 | max_depth=7, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9454 | max_depth=5, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9452 | max_depth=5, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9439 | max_depth=1, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9438 | max_depth=7, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9435 | max_depth=7, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9414 | max_depth=5, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9367 | max_depth=1, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9349 | max_depth=3, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9342 | max_depth=3, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.932 | max_depth=3, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.93 | max_depth=3, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9275 | max_depth=5, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.9272 | max_depth=7, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.927 | max_depth=5, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9265 | max_depth=1, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9261 | max_depth=7, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9256 | max_depth=3, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9202 | max_depth=5, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9198 | max_depth=1, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9145 | max_depth=7, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.903 | max_depth=1, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.7929 | max_depth=7, n_estimators=700, learning_rate=1, max_features="log2" | - -## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9621 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_depth=3 | +| 0.9618 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=3 | +| 0.9615 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=3 | +| 0.9613 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=3 | +| 0.9609 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_depth=5 | +| 0.9605 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_depth=5 | +| 0.9602 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=7 | +| 0.9601 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=7 | +| 0.96 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=5 | +| 0.96 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=3 | +| 0.9598 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=5 | +| 0.9598 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=3 | +| 0.9598 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_depth=7 | +| 0.9598 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_depth=5 | +| 0.9597 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_depth=3 | +| 0.9597 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_depth=5 | +| 0.9596 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_depth=3 | +| 0.9595 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_depth=5 | +| 0.9595 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=5 | +| 0.9594 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=7 | +| 0.9593 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_depth=7 | +| 0.9593 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=3 | +| 0.9593 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=3 | +| 0.9593 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_depth=5 | +| 0.9592 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_depth=7 | +| 0.9592 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_depth=7 | +| 0.9592 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_depth=7 | +| 0.9591 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=7 | +| 0.959 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_depth=7 | +| 0.9588 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=3 | +| 0.9587 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=5 | +| 0.9586 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=3 | +| 0.9585 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_depth=3 | +| 0.9584 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=5 | +| 0.9584 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_depth=7 | +| 0.9582 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_depth=7 | +| 0.9582 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=3 | +| 0.9581 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_depth=3 | +| 0.9581 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_depth=5 | +| 0.9581 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_depth=5 | +| 0.958 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_depth=7 | +| 0.9579 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_depth=3 | +| 0.9578 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=5 | +| 0.9576 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_depth=1 | +| 0.9576 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_depth=5 | +| 0.9576 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_depth=1 | +| 0.9576 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_depth=5 | +| 0.9573 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_depth=3 | +| 0.9572 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=1 | +| 0.9572 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_depth=3 | +| 0.9572 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=5 | +| 0.9572 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_depth=7 | +| 0.9571 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=1 | +| 0.957 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_depth=7 | +| 0.9569 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_depth=5 | +| 0.9567 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_depth=7 | +| 0.9567 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_depth=7 | +| 0.9566 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_depth=7 | +| 0.9565 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_depth=3 | +| 0.9564 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_depth=5 | +| 0.9564 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_depth=7 | +| 0.9564 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=1 | +| 0.9563 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_depth=1 | +| 0.9563 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=1 | +| 0.9563 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_depth=3 | +| 0.9562 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=1 | +| 0.9562 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_depth=5 | +| 0.956 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=1 | +| 0.9559 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=3 | +| 0.9558 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=1 | +| 0.9557 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_depth=7 | +| 0.9557 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=3 | +| 0.9556 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=1 | +| 0.9556 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_depth=3 | +| 0.9556 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=3 | +| 0.9554 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=5 | +| 0.9553 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=1 | +| 0.9552 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=5 | +| 0.9551 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=1 | +| 0.9551 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_depth=3 | +| 0.955 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=5 | +| 0.9547 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=3 | +| 0.9545 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=1 | +| 0.9545 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=3 | +| 0.9543 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=1 | +| 0.9541 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=1 | +| 0.9541 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=1 | +| 0.9539 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=1 | +| 0.9538 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=3 | +| 0.9538 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_depth=5 | +| 0.9536 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=1 | +| 0.9536 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_depth=5 | +| 0.9535 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_depth=5 | +| 0.9533 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=5 | +| 0.9533 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_depth=5 | +| 0.9533 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=1 | +| 0.9531 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_depth=5 | +| 0.953 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=1 | +| 0.953 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=1 | +| 0.9529 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=5 | +| 0.9529 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=1 | +| 0.9529 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=1 | +| 0.9529 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_depth=1 | +| 0.9528 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=1 | +| 0.9527 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_depth=1 | +| 0.9527 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_depth=1 | +| 0.9526 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=1 | +| 0.9526 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=3 | +| 0.9524 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_depth=3 | +| 0.9524 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=1 | +| 0.9523 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=1 | +| 0.9522 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=1 | +| 0.9521 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=1 | +| 0.9521 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=1 | +| 0.952 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_depth=3 | +| 0.952 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_depth=3 | +| 0.9517 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_depth=3 | +| 0.9513 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=1 | +| 0.9508 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=1 | +| 0.9508 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=1 | +| 0.9503 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_depth=7 | +| 0.9502 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_depth=7 | +| 0.9501 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=1 | +| 0.9496 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=1 | +| 0.9491 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=1 | +| 0.949 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=1 | +| 0.9487 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=1 | +| 0.9486 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_depth=7 | +| 0.9483 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=7, max_depth=7 | +| 0.948 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=1 | +| 0.9479 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=1 | +| 0.9479 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_depth=7 | +| 0.9477 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=1 | +| 0.9475 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=1 | +| 0.9474 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=1 | +| 0.9471 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=1, max_depth=7 | +| 0.9465 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=1 | +| 0.9464 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_depth=7 | +| 0.946 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=1 | +| 0.946 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=3 | +| 0.9457 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=1 | +| 0.9457 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_depth=5 | +| 0.9456 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=13, max_depth=7 | +| 0.9448 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=1 | +| 0.9446 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=1 | +| 0.9445 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_depth=3 | +| 0.9445 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=5 | +| 0.9444 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_depth=3 | +| 0.9444 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_depth=5 | +| 0.944 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=5 | +| 0.9439 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=1 | +| 0.9438 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_depth=5 | +| 0.9435 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_depth=3 | +| 0.9435 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=1 | +| 0.9433 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=5, max_depth=7 | +| 0.9429 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_depth=3 | +| 0.9427 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_depth=3 | +| 0.9426 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=3 | +| 0.9424 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=5, max_depth=1 | +| 0.9423 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_depth=5 | +| 0.9422 | max_features="log2", learning_rate=0.1, n_estimators=300, min_samples_leaf=3, max_depth=7 | +| 0.9421 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_depth=5 | +| 0.942 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_depth=5 | +| 0.9412 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=3 | +| 0.9411 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_depth=5 | +| 0.9411 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=3 | +| 0.941 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_depth=5 | +| 0.9397 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=13, max_depth=1 | +| 0.9392 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=3 | +| 0.9387 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=7, max_depth=1 | +| 0.9369 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=3 | +| 0.9364 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=5 | +| 0.9361 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=5 | +| 0.9356 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=1 | +| 0.9352 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=3 | +| 0.9351 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=5 | +| 0.935 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=3, max_depth=1 | +| 0.9346 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=5 | +| 0.9341 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=5, max_depth=1 | +| 0.9332 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=7, max_depth=1 | +| 0.9329 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=13, max_depth=1 | +| 0.9326 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=1, max_depth=1 | +| 0.9326 | max_features="log2", learning_rate=0.01, n_estimators=700, min_samples_leaf=3, max_depth=1 | +| 0.9315 | max_features="log2", learning_rate=0.1, n_estimators=100, min_samples_leaf=1, max_depth=1 | +| 0.9314 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=3 | +| 0.9305 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=3 | +| 0.9298 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_depth=3 | +| 0.9298 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=5 | +| 0.9284 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_depth=3 | +| 0.9279 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_depth=3 | +| 0.9271 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=3 | +| 0.9263 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_depth=3 | +| 0.9262 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=1, max_depth=1 | +| 0.9262 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=3, max_depth=1 | +| 0.9259 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=3 | +| 0.9259 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=3 | +| 0.9252 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=3 | +| 0.9252 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_depth=3 | +| 0.9247 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=5, max_depth=1 | +| 0.9247 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=3 | +| 0.924 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=13, max_depth=1 | +| 0.9237 | max_features="log2", learning_rate=0.01, n_estimators=500, min_samples_leaf=7, max_depth=1 | +| 0.9231 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=3 | +| 0.9214 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=3 | +| 0.9163 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=1, max_depth=1 | +| 0.9163 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=3, max_depth=1 | +| 0.9156 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=5, max_depth=1 | +| 0.9145 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=7, max_depth=1 | +| 0.9139 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=3 | +| 0.9127 | max_features="log2", learning_rate=0.01, n_estimators=300, min_samples_leaf=13, max_depth=1 | +| 0.912 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=3 | +| 0.9102 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=1, max_depth=7 | +| 0.9101 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=3 | +| 0.9067 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=3 | +| 0.9064 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=13, max_depth=7 | +| 0.9047 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=3 | +| 0.9035 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=1, max_depth=1 | +| 0.9035 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=3, max_depth=1 | +| 0.9029 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=5, max_depth=7 | +| 0.9004 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=3, max_depth=7 | +| 0.8999 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=5, max_depth=1 | +| 0.8986 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=7, max_depth=1 | +| 0.8986 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_depth=3 | +| 0.8974 | max_features="log2", learning_rate=0.1, n_estimators=500, min_samples_leaf=7, max_depth=7 | +| 0.8967 | max_features="log2", learning_rate=0.01, n_estimators=100, min_samples_leaf=13, max_depth=1 | +| 0.8956 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=3 | +| 0.8925 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=13, max_depth=7 | +| 0.8921 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=13, max_depth=7 | +| 0.8898 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=3 | +| 0.8887 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=3, max_depth=7 | +| 0.8875 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=7, max_depth=7 | +| 0.8875 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=5, max_depth=7 | +| 0.8862 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=3, max_depth=7 | +| 0.8856 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=1, max_depth=7 | +| 0.8843 | max_features="log2", learning_rate=0.5, n_estimators=100, min_samples_leaf=1, max_depth=7 | +| 0.8835 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=3 | +| 0.8818 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=7, max_depth=7 | +| 0.8785 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=5 | +| 0.8782 | max_features="log2", learning_rate=0.1, n_estimators=700, min_samples_leaf=5, max_depth=7 | +| 0.8754 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=5 | +| 0.8753 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=5 | +| 0.8741 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=7 | +| 0.8735 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=5 | +| 0.8718 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=5 | +| 0.8708 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=13, max_depth=5 | +| 0.8692 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=5 | +| 0.869 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_depth=5 | +| 0.8689 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=5 | +| 0.8682 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=5 | +| 0.8681 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=7 | +| 0.8676 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=5 | +| 0.8675 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=7, max_depth=5 | +| 0.8673 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=13, max_depth=7 | +| 0.8673 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=3 | +| 0.8663 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=3, max_depth=7 | +| 0.8659 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=5, max_depth=7 | +| 0.8656 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=5 | +| 0.8649 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=5 | +| 0.8647 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=5 | +| 0.8644 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=5, max_depth=7 | +| 0.8643 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=5 | +| 0.8639 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=5 | +| 0.8629 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=5 | +| 0.8619 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=3, max_depth=7 | +| 0.8617 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=5, max_depth=7 | +| 0.8612 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=5 | +| 0.8609 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=3, max_depth=7 | +| 0.8604 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=7, max_depth=7 | +| 0.8599 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=1, max_depth=7 | +| 0.8592 | max_features="log2", learning_rate=0.5, n_estimators=300, min_samples_leaf=13, max_depth=7 | +| 0.8565 | max_features="log2", learning_rate=0.5, n_estimators=500, min_samples_leaf=1, max_depth=7 | +| 0.8556 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=7, max_depth=7 | +| 0.8529 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=5 | +| 0.8525 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=5 | +| 0.8514 | max_features="log2", learning_rate=0.5, n_estimators=700, min_samples_leaf=1, max_depth=7 | +| 0.8509 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=3 | +| 0.8505 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=3 | +| 0.846 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=3 | +| 0.8447 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=5 | +| 0.8412 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=3 | +| 0.8407 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=3 | +| 0.8403 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=5 | +| 0.8375 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=3 | +| 0.8371 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=7 | +| 0.8368 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=3 | +| 0.8366 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=7 | +| 0.8365 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=7 | +| 0.836 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=5 | +| 0.8358 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=13, max_depth=7 | +| 0.8347 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=5 | +| 0.8341 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=3, max_depth=7 | +| 0.8341 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=5 | +| 0.8335 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=3, max_depth=5 | +| 0.8333 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=13, max_depth=5 | +| 0.8329 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=1, max_depth=7 | +| 0.8328 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=3 | +| 0.8314 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=1, max_depth=7 | +| 0.8296 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=5, max_depth=7 | +| 0.8273 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=7 | +| 0.827 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=7 | +| 0.8253 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=3, max_depth=5 | +| 0.8221 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=1, max_depth=7 | +| 0.8218 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=1, max_depth=7 | +| 0.821 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=5 | +| 0.8194 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=3 | +| 0.8177 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=13, max_depth=5 | +| 0.8085 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=13, max_depth=7 | +| 0.8042 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=7, max_depth=5 | +| 0.8029 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=3, max_depth=7 | +| 0.8002 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=5 | +| 0.7951 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=5 | +| 0.7939 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=7 | +| 0.7935 | max_features="log2", learning_rate=1, n_estimators=300, min_samples_leaf=5, max_depth=7 | +| 0.7899 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=5, max_depth=7 | +| 0.7889 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=7 | +| 0.7884 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=5, max_depth=3 | +| 0.7533 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=3 | +| 0.7496 | max_features="log2", learning_rate=1, n_estimators=100, min_samples_leaf=7, max_depth=7 | +| 0.7495 | max_features="log2", learning_rate=1, n_estimators=500, min_samples_leaf=7, max_depth=5 | +| 0.6899 | max_features="log2", learning_rate=1, n_estimators=700, min_samples_leaf=7, max_depth=7 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.951 | penalty="l1", C=10 | -| 0.9483 | penalty="l1", C=1 | -| 0.9463 | penalty="l1", C=0.1 | -| 0.9375 | penalty="l2", C=10 | -| 0.9336 | penalty="l2", C=0.1 | -| 0.924 | penalty="l2", C=1 | +| 0.9211 | penalty="l2", C=1 | +| 0.92 | penalty="l2", C=0.1 | +| 0.9198 | penalty="l2", C=10 | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.6833 | | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8784 | | +| 0.8667 | | diff --git a/tuning_reports/etwiki.goodfaith.md b/tuning_reports/etwiki.goodfaith.md index 43480098..875ad81b 100644 --- a/tuning_reports/etwiki.goodfaith.md +++ b/tuning_reports/etwiki.goodfaith.md @@ -1,166 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.etwiki.goodfaith -- Date: 2017-09-04T16:40:48.399755 -- Observations: 19839 +- Date: 2021-01-28T13:34:23.111262 +- Observations: 19126 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:----------------------------------------------------------------------------| -| GradientBoosting | 0.9836 | max_depth=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| GradientBoosting | 0.9831 | max_depth=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| GradientBoosting | 0.9824 | max_depth=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| RandomForestClassifier | 0.982 | min_samples_leaf=7, criterion="gini", n_estimators=160, max_features="log2" | -| GradientBoosting | 0.9815 | max_depth=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.9814 | max_depth=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| GradientBoosting | 0.9813 | max_depth=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| GradientBoosting | 0.9813 | max_depth=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.9809 | max_depth=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| GradientBoosting | 0.9808 | max_depth=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9808 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| GradientBoosting | 0.9807 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| GradientBoosting | 0.9806 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| GradientBoosting | 0.9806 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| GradientBoosting | 0.9804 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| GradientBoosting | 0.9802 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| GradientBoosting | 0.9801 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| GradientBoosting | 0.9798 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| GradientBoosting | 0.9798 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| GradientBoosting | 0.9797 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | # Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9781 | penalty="l1", C=10 | -| 0.9776 | penalty="l1", C=0.1 | -| 0.9752 | penalty="l1", C=1 | -| 0.9481 | penalty="l2", C=0.1 | -| 0.9455 | penalty="l2", C=10 | -| 0.942 | penalty="l2", C=1 | - ## GaussianNB -| roc_auc.labels.true | params | -|| - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.982 | min_samples_leaf=7, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9794 | min_samples_leaf=13, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9789 | min_samples_leaf=13, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9777 | min_samples_leaf=5, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.977 | min_samples_leaf=5, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.977 | min_samples_leaf=3, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9769 | min_samples_leaf=7, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9765 | min_samples_leaf=13, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9764 | min_samples_leaf=7, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9764 | min_samples_leaf=5, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9764 | min_samples_leaf=7, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9762 | min_samples_leaf=13, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9761 | min_samples_leaf=13, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.976 | min_samples_leaf=1, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9758 | min_samples_leaf=5, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9757 | min_samples_leaf=13, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9755 | min_samples_leaf=3, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9754 | min_samples_leaf=13, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9753 | min_samples_leaf=3, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9752 | min_samples_leaf=3, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.975 | min_samples_leaf=7, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9748 | min_samples_leaf=3, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9747 | min_samples_leaf=7, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9747 | min_samples_leaf=13, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9742 | min_samples_leaf=1, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9741 | min_samples_leaf=5, criterion="gini", n_estimators=40, max_features="log2" | -| 0.974 | min_samples_leaf=7, criterion="gini", n_estimators=40, max_features="log2" | -| 0.973 | min_samples_leaf=5, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9728 | min_samples_leaf=5, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9727 | min_samples_leaf=7, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9722 | min_samples_leaf=3, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9695 | min_samples_leaf=5, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9691 | min_samples_leaf=13, criterion="gini", n_estimators=20, max_features="log2" | -| 0.968 | min_samples_leaf=1, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9675 | min_samples_leaf=13, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9674 | min_samples_leaf=1, criterion="gini", n_estimators=80, max_features="log2" | -| 0.966 | min_samples_leaf=7, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9659 | min_samples_leaf=3, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9646 | min_samples_leaf=3, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9644 | min_samples_leaf=13, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9629 | min_samples_leaf=7, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9621 | min_samples_leaf=5, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9614 | min_samples_leaf=5, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9586 | min_samples_leaf=1, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9549 | min_samples_leaf=1, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9543 | min_samples_leaf=3, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9542 | min_samples_leaf=3, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9493 | min_samples_leaf=1, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9423 | min_samples_leaf=1, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9207 | min_samples_leaf=1, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.8997 | min_samples_leaf=1, criterion="gini", n_estimators=10, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.7266 | | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9836 | max_depth=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9831 | max_depth=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9824 | max_depth=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9815 | max_depth=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9814 | max_depth=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9813 | max_depth=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9813 | max_depth=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9809 | max_depth=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9808 | max_depth=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9808 | max_depth=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9805 | max_depth=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9805 | max_depth=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9803 | max_depth=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9803 | max_depth=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9803 | max_depth=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9801 | max_depth=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.98 | max_depth=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.98 | max_depth=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9795 | max_depth=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9792 | max_depth=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9791 | max_depth=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.979 | max_depth=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.979 | max_depth=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9785 | max_depth=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9784 | max_depth=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9784 | max_depth=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9783 | max_depth=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9777 | max_depth=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9776 | max_depth=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9772 | max_depth=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9768 | max_depth=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9765 | max_depth=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9764 | max_depth=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9747 | max_depth=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9735 | max_depth=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9733 | max_depth=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9733 | max_depth=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9725 | max_depth=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9722 | max_depth=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9722 | max_depth=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9715 | max_depth=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9714 | max_depth=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9712 | max_depth=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9698 | max_depth=3, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.9695 | max_depth=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9687 | max_depth=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9662 | max_depth=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.965 | max_depth=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.9635 | max_depth=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9554 | max_depth=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9531 | max_depth=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9512 | max_depth=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.9455 | max_depth=7, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.941 | max_depth=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9325 | max_depth=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9144 | max_depth=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.9034 | max_depth=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.8897 | max_depth=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.8789 | max_depth=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.8698 | max_depth=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.8474 | max_depth=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.8439 | max_depth=7, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.8338 | max_depth=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.8324 | max_depth=3, learning_rate=1, n_estimators=500, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9808 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9807 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.9806 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.9806 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.9804 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.9802 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.9801 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.9798 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.9798 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.9797 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.9797 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.9796 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.9795 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.9795 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.9795 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9794 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.9793 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.9793 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9792 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.9792 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.9791 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.979 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.979 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.979 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.9789 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.9788 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9788 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.9788 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.9788 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.9788 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.9787 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.9787 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.9787 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.9787 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.9787 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.9787 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.9787 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.9786 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.9785 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.9785 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.9785 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.9785 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.9785 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9784 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.9784 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.9783 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.9783 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.9783 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.9783 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.9783 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.9782 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.9781 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.9781 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.978 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.978 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.978 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.9779 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.9779 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.9779 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.9779 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.9778 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.9778 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.9778 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9778 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.9776 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.9776 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.9775 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.9775 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.9775 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.9775 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.9775 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.9775 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.9773 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.9773 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.9772 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.9771 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.9771 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.9771 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.977 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.977 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.9769 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.9769 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.9769 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.9768 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.9768 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.9768 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.9768 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.9768 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.9766 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.9765 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.9764 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.9764 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.9763 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.9762 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.9762 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.9761 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.9761 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.976 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.9759 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.9757 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.9757 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.9757 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.9757 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.9756 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.9756 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.9756 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.9755 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.9755 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.9753 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.9753 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.9753 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.9752 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.9752 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.9751 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.9751 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.9749 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.9749 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.9749 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.9749 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.9747 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.9745 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.9744 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.9743 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.9742 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.9736 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.9736 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.9733 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.9733 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.9733 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.9733 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.9731 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.973 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.9725 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.9725 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.9721 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.9719 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.9716 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.9716 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.9711 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.9711 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.9711 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.9701 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.9698 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.9697 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.9697 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.9696 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.9695 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.9695 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.969 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.969 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.9689 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.9687 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.9686 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.9684 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.9684 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.9684 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.9682 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.9682 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.9665 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.9663 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.9651 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.9651 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.9648 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.9645 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.9645 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.9642 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.9641 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.9629 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.962 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.9613 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9602 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.9595 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9592 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9591 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.9584 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.9577 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.9574 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.9567 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.9561 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.9536 | max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.9533 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.9533 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.9504 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.9495 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.9489 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.9487 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.9471 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.9456 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.9454 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.9449 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.9428 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.9427 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.9427 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.9427 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.9402 | max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.9395 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.9391 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.9377 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.9377 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.9372 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.9359 | max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.9339 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.9338 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.9315 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.9301 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.9297 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.9296 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.9296 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.9293 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.9284 | max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=1 | +| 0.9264 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9248 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9247 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.9233 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.9231 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.9221 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.9212 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9199 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.9184 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.9166 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.9165 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.9136 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.9132 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.9129 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.9123 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.9102 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.9091 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.909 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.9089 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.9081 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.9081 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.908 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.9073 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.9071 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.9065 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.9057 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.9057 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.9053 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.9048 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.9045 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.9042 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.9035 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.903 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.9027 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.902 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.902 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.9018 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.9018 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.9009 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.8993 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.8991 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.8989 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.8981 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.8979 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.8975 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.8974 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.8965 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.8958 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.8945 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.8938 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.8896 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.8882 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.8863 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=1 | +| 0.8831 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.883 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.8808 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.8784 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.874 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.8726 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.8726 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.8723 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.8688 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.8675 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.8669 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.8663 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.8641 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.8636 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.8608 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.8573 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.8566 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.8564 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.8551 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.8481 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.8463 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.8461 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.8428 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.8421 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.8404 | max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.8377 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.8362 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.8229 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.8161 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.8158 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.8122 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.8114 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.8097 | max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.809 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.8088 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.8067 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.8036 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=1 | +| 0.8017 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.7992 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.7981 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.7978 | max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.7927 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.7875 | max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.7841 | max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.7814 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.7718 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.77 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.7671 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.7657 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.7618 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.7528 | max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.7506 | max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.7442 | max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.7259 | max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.7079 | max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.6808 | max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.6624 | max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=1 | + +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.9463 | penalty="l2", C=1 | +| 0.9418 | penalty="l2", C=0.1 | +| 0.9396 | penalty="l2", C=10 | + +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9783 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.977 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9769 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9769 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9768 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9768 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9767 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9766 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9763 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9763 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.976 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.976 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.976 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9758 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9757 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9757 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9756 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9755 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9755 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9755 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9754 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9754 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9751 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.975 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9748 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9747 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9747 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9747 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9745 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9744 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9743 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9743 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.974 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.974 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9737 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9736 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9732 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.973 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9728 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9727 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9725 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9723 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.972 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9714 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9711 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9707 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9706 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9696 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9689 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9686 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9679 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9677 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9659 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9656 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9656 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9632 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9612 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9606 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9606 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9597 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.958 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.957 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9556 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9547 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9471 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9371 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.935 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9309 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9051 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8971 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9234 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9241 | | diff --git a/tuning_reports/fawiki.damaging.md b/tuning_reports/fawiki.damaging.md deleted file mode 100644 index e36f4a7d..00000000 --- a/tuning_reports/fawiki.damaging.md +++ /dev/null @@ -1,165 +0,0 @@ -# Model tuning report -- Revscoring version: 2.0.5 -- Features: editquality.feature_lists.fawiki.damaging -- Date: 2017-09-04T22:09:43.964459 -- Observations: 39298 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9659 | max_depth=1, n_estimators=700, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9656 | max_depth=5, n_estimators=700, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9655 | max_depth=1, n_estimators=500, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9654 | max_depth=3, n_estimators=300, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9653 | max_depth=5, n_estimators=100, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9652 | max_depth=3, n_estimators=100, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9651 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9651 | max_depth=1, n_estimators=300, learning_rate=0.5, max_features="log2" | -| RandomForestClassifier | 0.9648 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9647 | max_depth=7, n_estimators=700, learning_rate=0.01, max_features="log2" | - -# Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9619 | C=1, penalty="l1" | -| 0.9618 | C=0.1, penalty="l1" | -| 0.9613 | C=10, penalty="l1" | -| 0.9133 | C=10, penalty="l2" | -| 0.9068 | C=0.1, penalty="l2" | -| 0.9029 | C=1, penalty="l2" | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8874 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9659 | max_depth=1, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9656 | max_depth=5, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9655 | max_depth=1, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9654 | max_depth=3, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9653 | max_depth=5, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9652 | max_depth=3, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9651 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9651 | max_depth=1, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9647 | max_depth=7, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9647 | max_depth=1, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9647 | max_depth=1, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9647 | max_depth=7, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9644 | max_depth=1, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9643 | max_depth=3, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9641 | max_depth=3, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.964 | max_depth=7, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9638 | max_depth=1, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9638 | max_depth=1, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9636 | max_depth=7, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9635 | max_depth=3, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9632 | max_depth=5, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.963 | max_depth=5, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9628 | max_depth=3, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9628 | max_depth=1, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.962 | max_depth=7, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.962 | max_depth=5, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9611 | max_depth=3, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9611 | max_depth=1, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9607 | max_depth=3, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9606 | max_depth=5, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9605 | max_depth=7, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9604 | max_depth=7, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9598 | max_depth=1, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.9596 | max_depth=7, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9595 | max_depth=5, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9577 | max_depth=1, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9563 | max_depth=3, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9558 | max_depth=1, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.955 | max_depth=5, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9546 | max_depth=3, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.954 | max_depth=3, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9534 | max_depth=7, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9529 | max_depth=3, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9522 | max_depth=5, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9519 | max_depth=5, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9514 | max_depth=1, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9511 | max_depth=7, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9498 | max_depth=7, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9495 | max_depth=5, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9488 | max_depth=3, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9441 | max_depth=3, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.9438 | max_depth=1, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9339 | max_depth=3, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.933 | max_depth=7, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9326 | max_depth=7, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9291 | max_depth=3, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9289 | max_depth=7, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9275 | max_depth=1, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9241 | max_depth=5, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9211 | max_depth=5, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9171 | max_depth=5, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.8801 | max_depth=5, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.8634 | max_depth=7, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.8003 | max_depth=7, n_estimators=700, learning_rate=1, max_features="log2" | - -## GaussianNB -| roc_auc.labels.true | params | -|| - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9648 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9641 | min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9641 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9641 | min_samples_leaf=7, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9641 | min_samples_leaf=5, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9641 | min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.964 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9638 | min_samples_leaf=5, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9637 | min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9636 | min_samples_leaf=5, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9635 | min_samples_leaf=3, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9635 | min_samples_leaf=13, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9634 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9634 | min_samples_leaf=7, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9634 | min_samples_leaf=3, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9633 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9633 | min_samples_leaf=7, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9631 | min_samples_leaf=13, n_estimators=80, criterion="gini", max_features="log2" | -| 0.963 | min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9629 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9623 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | -| 0.962 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9619 | min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9618 | min_samples_leaf=1, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9615 | min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9612 | min_samples_leaf=1, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9606 | min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9603 | min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9602 | min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9601 | min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9601 | min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9599 | min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9595 | min_samples_leaf=1, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.959 | min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9585 | min_samples_leaf=1, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9583 | min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9563 | min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9554 | min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9553 | min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9547 | min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9537 | min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9511 | min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9508 | min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9503 | min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9454 | min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9408 | min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9336 | min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9295 | min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2" | -| 0.8923 | min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.8875 | min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2" | - diff --git a/tuning_reports/jawiki.damaging.md b/tuning_reports/jawiki.damaging.md index 4d9a6f11..37467a37 100644 --- a/tuning_reports/jawiki.damaging.md +++ b/tuning_reports/jawiki.damaging.md @@ -1,442 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.jawiki.damaging -- Date: 2019-06-04T20:22:56.214291 -- Observations: 27875 +- Date: 2021-02-04T13:13:28.862507 +- Observations: 27643 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| -| GradientBoosting | 0.847 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| GradientBoosting | 0.8469 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| GradientBoosting | 0.846 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| GradientBoosting | 0.8459 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| GradientBoosting | 0.8459 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| GradientBoosting | 0.8458 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| GradientBoosting | 0.8457 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| GradientBoosting | 0.8455 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| GradientBoosting | 0.8455 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| GradientBoosting | 0.845 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| +| GradientBoosting | 0.8522 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | +| GradientBoosting | 0.8512 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | +| GradientBoosting | 0.8508 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | +| GradientBoosting | 0.8507 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | +| GradientBoosting | 0.8505 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | +| GradientBoosting | 0.8505 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | +| GradientBoosting | 0.8503 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | +| GradientBoosting | 0.8501 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | +| GradientBoosting | 0.8499 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | +| GradientBoosting | 0.8498 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | # Models ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.6328 | | +| 0.7375 | | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8141 | penalty="l1", C=1 | -| 0.8108 | penalty="l1", C=10 | -| 0.8052 | penalty="l1", C=0.1 | -| 0.336 | penalty="l2", C=10 | -| 0.3279 | penalty="l2", C=1 | -| 0.3277 | penalty="l2", C=0.1 | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------------------| -| 0.847 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8469 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.846 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8459 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8459 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8458 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8457 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8455 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8455 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.845 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8447 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8446 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8446 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8442 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8441 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.844 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8435 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8433 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8433 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8432 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8422 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8415 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8415 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.841 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.841 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8403 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.84 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8398 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8398 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.8397 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8397 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8395 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.8391 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.8391 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8391 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.838 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8376 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8372 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8371 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.837 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.837 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.837 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.8369 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8369 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8368 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8367 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8366 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.8365 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8365 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8363 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8361 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.836 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8359 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.8359 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8357 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8351 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8347 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8345 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.834 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8335 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8321 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8317 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8317 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8317 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8317 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8315 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8314 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8312 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8311 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8309 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8308 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.8307 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8307 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.83 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8294 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8292 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.829 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8288 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8285 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8281 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8278 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8277 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8276 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8274 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8271 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.827 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8267 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8262 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8261 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.826 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8259 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8258 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.8258 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8256 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8256 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8253 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8252 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8252 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8252 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8251 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8247 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.8245 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8242 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8235 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8234 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8233 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8227 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8225 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8224 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8223 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8221 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8221 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.8206 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8205 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.8201 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8199 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8199 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8198 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8198 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8197 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8196 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.819 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8186 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8181 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8175 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8174 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.816 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8152 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8144 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.814 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.8138 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8137 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8137 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8136 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8133 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8131 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.813 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8127 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8122 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.81 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8099 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8088 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8086 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8077 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8066 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8056 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8054 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8051 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.805 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8048 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8046 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8046 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8039 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8038 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8032 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8029 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.801 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7975 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7972 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7948 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7946 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7943 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.794 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.793 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7929 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7929 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7929 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7928 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7927 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.7914 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.7912 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.7905 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7897 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7897 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7852 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7846 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.7843 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7802 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.779 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7773 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7765 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7738 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7712 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7689 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7646 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.7616 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.7589 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.7586 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.7574 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7536 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7519 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7483 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7483 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7446 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.7432 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.743 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7429 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7359 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7354 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7353 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7348 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7327 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.7326 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.7317 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7267 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7257 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7189 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7175 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.7141 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7119 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.7086 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.703 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7001 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.6973 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.6832 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6765 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.6763 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6751 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6715 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6707 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.6705 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.659 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.6537 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.6499 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.6465 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.6437 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6381 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.6367 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.6299 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6285 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.6281 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.6267 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.6264 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.6214 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6199 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.6195 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.6192 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.6175 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6169 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6163 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6162 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6153 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.6148 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6147 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6142 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.6119 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.6113 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6103 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.6098 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6095 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.6092 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.6084 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.6082 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.608 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.6067 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.6067 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6054 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.6049 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.6033 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.6029 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6018 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.6016 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6012 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.6011 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.6009 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.599 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.598 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5978 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.5972 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5972 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.5971 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.597 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5967 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.5965 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.5962 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.5936 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5933 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.5928 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5928 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5927 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.5923 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5921 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5917 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.5901 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.5891 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.589 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5889 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5881 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5879 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5872 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.5871 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.587 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5834 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.583 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5824 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5807 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.5803 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.5785 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5783 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5748 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5743 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.5733 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.5729 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5716 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5714 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.5714 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5692 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.5683 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5675 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.5662 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5654 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5647 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.5627 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5575 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5544 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5511 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.5492 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5367 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5257 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.8426 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.8405 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.8394 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.8385 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.8381 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.8363 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.8362 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.8356 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.8356 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.8354 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.8344 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.8336 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.8334 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.8331 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.8329 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.8328 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.8324 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.832 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.8312 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.8288 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.8285 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.8273 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.8262 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.8257 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.8254 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.8242 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.8206 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.8205 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.8201 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.819 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.8187 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.8151 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.8137 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.8133 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.8133 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.8121 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.8119 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.8116 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.8109 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.8098 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.8096 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.8075 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.8069 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.8048 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.8044 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.8043 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.8042 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.8011 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.7993 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.788 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.7869 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.7845 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.782 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.7812 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.7639 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.762 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.7618 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.754 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.752 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.7505 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.7469 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.7431 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.7358 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.7329 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.7148 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.7111 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.6644 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.6633 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.6262 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.622 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=1 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.805 | | +| 0.8147 | | -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.838 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.8354 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.8343 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.8327 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.832 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.8308 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.8288 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8286 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | -| 0.8278 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.8273 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | -| 0.8269 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.8263 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.8263 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=640 | -| 0.8249 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=640 | -| 0.8248 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=640 | -| 0.8237 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.8237 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8235 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.822 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| 0.8215 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | -| 0.8211 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | -| 0.8201 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=640 | -| 0.8196 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | -| 0.818 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.818 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8171 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | -| 0.8163 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | -| 0.816 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.8139 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.8118 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | -| 0.8105 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8077 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=640 | -| 0.8073 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | -| 0.8065 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | -| 0.8041 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=640 | -| 0.7969 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | -| 0.7962 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | -| 0.7947 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.7944 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.7942 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | -| 0.7928 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.7916 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | -| 0.7891 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | -| 0.7861 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.7818 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | -| 0.7792 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | -| 0.7787 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.7775 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.775 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | -| 0.7747 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.7738 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | -| 0.77 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.7647 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.7602 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | -| 0.7594 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | -| 0.7581 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | -| 0.7499 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | -| 0.7485 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.7449 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.7313 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.7313 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.7279 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | -| 0.7235 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | -| 0.7067 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.6971 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | -| 0.6746 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | -| 0.6621 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.6374 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | -| 0.6166 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8522 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | +| 0.8512 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | +| 0.8508 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | +| 0.8507 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | +| 0.8505 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | +| 0.8505 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | +| 0.8503 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | +| 0.8501 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | +| 0.8499 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | +| 0.8498 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | +| 0.8498 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | +| 0.8497 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | +| 0.8497 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | +| 0.8492 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | +| 0.8489 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | +| 0.8489 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | +| 0.8489 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | +| 0.8489 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | +| 0.8487 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | +| 0.8487 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | +| 0.8485 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | +| 0.8483 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | +| 0.8483 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | +| 0.8482 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | +| 0.8481 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | +| 0.848 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | +| 0.8479 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | +| 0.8477 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | +| 0.8472 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | +| 0.8471 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | +| 0.8471 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | +| 0.847 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | +| 0.8468 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | +| 0.8468 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | +| 0.8467 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | +| 0.8466 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | +| 0.8465 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | +| 0.8463 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | +| 0.8461 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | +| 0.846 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | +| 0.8458 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | +| 0.8458 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | +| 0.8458 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | +| 0.8457 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | +| 0.8456 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | +| 0.8454 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | +| 0.8454 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | +| 0.8452 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | +| 0.8452 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | +| 0.8451 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | +| 0.8448 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | +| 0.8447 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | +| 0.8446 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | +| 0.8446 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | +| 0.8446 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | +| 0.8439 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | +| 0.8439 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | +| 0.8437 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | +| 0.8436 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | +| 0.8433 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | +| 0.843 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | +| 0.8425 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | +| 0.8424 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | +| 0.8424 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | +| 0.8422 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | +| 0.8419 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | +| 0.8418 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | +| 0.8416 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | +| 0.8404 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | +| 0.8396 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | +| 0.8396 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | +| 0.8395 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | +| 0.8389 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | +| 0.8389 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | +| 0.8384 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | +| 0.8383 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | +| 0.8382 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | +| 0.8381 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | +| 0.8381 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | +| 0.8374 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | +| 0.8366 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | +| 0.8359 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | +| 0.8358 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | +| 0.8355 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | +| 0.8353 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | +| 0.8353 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | +| 0.835 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | +| 0.8348 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | +| 0.8348 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | +| 0.8343 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | +| 0.8339 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | +| 0.833 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | +| 0.833 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | +| 0.8324 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | +| 0.8323 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | +| 0.8321 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | +| 0.832 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | +| 0.832 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | +| 0.832 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | +| 0.8306 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | +| 0.8303 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | +| 0.8296 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | +| 0.8296 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | +| 0.8293 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | +| 0.829 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | +| 0.8287 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | +| 0.8286 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | +| 0.8285 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | +| 0.8284 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | +| 0.8281 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | +| 0.828 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | +| 0.828 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | +| 0.8277 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | +| 0.8275 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | +| 0.8275 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | +| 0.8274 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | +| 0.8259 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | +| 0.8259 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | +| 0.8245 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | +| 0.8237 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | +| 0.8219 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | +| 0.8203 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | +| 0.8198 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | +| 0.8188 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | +| 0.8185 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | +| 0.8185 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | +| 0.8183 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | +| 0.8175 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | +| 0.8164 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | +| 0.8161 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | +| 0.8158 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | +| 0.8153 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | +| 0.8151 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | +| 0.8133 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | +| 0.8131 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | +| 0.8123 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | +| 0.8121 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | +| 0.812 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | +| 0.8119 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | +| 0.8117 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | +| 0.8111 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | +| 0.8102 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | +| 0.8101 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | +| 0.8092 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | +| 0.8086 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | +| 0.8083 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | +| 0.8083 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | +| 0.8074 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | +| 0.8074 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | +| 0.8072 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | +| 0.807 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | +| 0.8068 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | +| 0.8068 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | +| 0.8064 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | +| 0.806 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | +| 0.8055 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | +| 0.8039 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | +| 0.8033 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | +| 0.8031 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | +| 0.8021 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | +| 0.8018 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | +| 0.8016 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | +| 0.7986 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | +| 0.7984 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | +| 0.7967 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | +| 0.7952 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | +| 0.7928 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | +| 0.7922 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | +| 0.7913 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | +| 0.7908 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | +| 0.7894 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | +| 0.7882 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | +| 0.7882 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | +| 0.7854 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | +| 0.7851 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | +| 0.7839 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | +| 0.7832 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | +| 0.7821 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | +| 0.7816 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | +| 0.7815 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | +| 0.7806 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | +| 0.7756 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | +| 0.7727 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | +| 0.7725 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | +| 0.7715 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | +| 0.7702 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | +| 0.7678 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | +| 0.7676 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | +| 0.7634 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | +| 0.7628 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | +| 0.7622 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | +| 0.7614 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | +| 0.7604 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | +| 0.7596 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | +| 0.7582 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | +| 0.7557 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | +| 0.7548 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | +| 0.7536 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | +| 0.7533 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | +| 0.7531 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | +| 0.7509 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | +| 0.7478 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | +| 0.7444 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | +| 0.7413 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | +| 0.7393 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | +| 0.7389 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | +| 0.7386 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | +| 0.7379 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | +| 0.7322 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | +| 0.7314 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | +| 0.7285 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | +| 0.724 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | +| 0.719 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | +| 0.7152 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | +| 0.7132 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | +| 0.703 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | +| 0.6996 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | +| 0.6962 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | +| 0.6944 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | +| 0.6873 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | +| 0.6841 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | +| 0.6807 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | +| 0.6728 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | +| 0.6701 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | +| 0.6684 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | +| 0.6661 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | +| 0.6443 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | +| 0.6428 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | +| 0.6425 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | +| 0.6423 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | +| 0.6404 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | +| 0.6377 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | +| 0.6366 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | +| 0.6335 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | +| 0.6318 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | +| 0.6304 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | +| 0.63 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | +| 0.6297 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | +| 0.6297 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | +| 0.629 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | +| 0.6289 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | +| 0.6281 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | +| 0.6273 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | +| 0.6259 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | +| 0.6258 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | +| 0.6249 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | +| 0.6238 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | +| 0.6222 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | +| 0.6217 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | +| 0.6215 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | +| 0.6209 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | +| 0.6208 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | +| 0.619 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | +| 0.6184 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | +| 0.6183 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | +| 0.6176 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | +| 0.6168 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | +| 0.6166 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | +| 0.6162 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | +| 0.6141 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | +| 0.6139 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | +| 0.6135 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | +| 0.6126 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | +| 0.6121 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | +| 0.6119 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | +| 0.6118 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | +| 0.6104 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | +| 0.6093 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | +| 0.6079 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | +| 0.6074 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | +| 0.6073 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | +| 0.607 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | +| 0.6067 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | +| 0.6064 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | +| 0.6059 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | +| 0.6057 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | +| 0.6051 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | +| 0.6048 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | +| 0.6042 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | +| 0.6039 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | +| 0.6025 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | +| 0.6021 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | +| 0.6016 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | +| 0.601 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | +| 0.6005 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | +| 0.5999 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | +| 0.5995 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | +| 0.5989 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | +| 0.5987 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | +| 0.5987 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | +| 0.5984 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | +| 0.5984 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | +| 0.5972 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | +| 0.5965 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | +| 0.5955 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | +| 0.5935 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | +| 0.5876 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | +| 0.5852 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | +| 0.5852 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | +| 0.5834 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | +| 0.583 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | +| 0.5818 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | +| 0.5803 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | +| 0.5801 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | +| 0.5773 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | +| 0.5731 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | +| 0.5726 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | +| 0.5709 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | +| 0.5701 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | +| 0.5669 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | +| 0.5665 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | +| 0.5615 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | +| 0.56 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | +| 0.5585 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | +| 0.5556 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | +| 0.5499 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | +| 0.5447 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | +| 0.5413 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | +| 0.5272 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | +| 0.5261 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | + +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.7564 | C=0.1, penalty="l2" | +| 0.756 | C=1, penalty="l2" | +| 0.7503 | C=10, penalty="l2" | diff --git a/tuning_reports/jawiki.goodfaith.md b/tuning_reports/jawiki.goodfaith.md index 7b39212e..8dff4034 100644 --- a/tuning_reports/jawiki.goodfaith.md +++ b/tuning_reports/jawiki.goodfaith.md @@ -1,442 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.jawiki.goodfaith -- Date: 2019-06-04T21:03:09.470430 -- Observations: 27875 +- Date: 2021-02-04T13:49:45.696021 +- Observations: 27643 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------|-----------------------:|:-------------------------------------------------------------------------------------------| -| GradientBoosting | 0.8316 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=7 | -| GradientBoosting | 0.8292 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | -| GradientBoosting | 0.8283 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=13 | -| GradientBoosting | 0.8267 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=5 | -| GradientBoosting | 0.8258 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=3 | -| GradientBoosting | 0.8254 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=13 | -| GradientBoosting | 0.8253 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=1 | -| GradientBoosting | 0.8246 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | -| GradientBoosting | 0.8246 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | -| GradientBoosting | 0.8245 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=5 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:-------------------------------------------------------------------------------------------| +| RandomForestClassifier | 0.8306 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | +| RandomForestClassifier | 0.8301 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| RandomForestClassifier | 0.8286 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| RandomForestClassifier | 0.8265 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| GradientBoosting | 0.8255 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| GradientBoosting | 0.8248 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| GradientBoosting | 0.8246 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| GradientBoosting | 0.8243 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| GradientBoosting | 0.8241 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| GradientBoosting | 0.824 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | # Models ## GradientBoosting | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.8316 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=7 | -| 0.8292 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | -| 0.8283 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=13 | -| 0.8267 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=5 | -| 0.8258 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=3 | -| 0.8254 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=13 | -| 0.8253 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=1 | -| 0.8246 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | -| 0.8246 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | -| 0.8245 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=5 | -| 0.8244 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=7 | -| 0.8238 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=7 | -| 0.8237 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | -| 0.8234 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=13 | -| 0.8231 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=3 | -| 0.8227 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | -| 0.8211 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=1 | -| 0.82 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | -| 0.8197 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | -| 0.8194 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | -| 0.8188 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01, min_samples_leaf=3 | -| 0.8187 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01, min_samples_leaf=13 | -| 0.8185 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=13 | -| 0.8185 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | -| 0.8185 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=7 | -| 0.8183 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=1 | -| 0.818 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=3 | -| 0.8179 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01, min_samples_leaf=1 | -| 0.8175 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | -| 0.8174 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01, min_samples_leaf=5 | -| 0.8173 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=7 | -| 0.8168 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | -| 0.8168 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=5 | -| 0.8165 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | -| 0.8163 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01, min_samples_leaf=7 | -| 0.8162 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | -| 0.8161 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | -| 0.816 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=7 | -| 0.8159 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | -| 0.8158 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | -| 0.8158 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | -| 0.8156 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | -| 0.8156 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | -| 0.8154 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | -| 0.8153 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | -| 0.8151 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=3 | -| 0.8151 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | -| 0.8148 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01, min_samples_leaf=7 | -| 0.8148 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=3 | -| 0.8148 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | -| 0.8146 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | -| 0.8145 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | -| 0.8139 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=1 | -| 0.8136 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=1 | -| 0.8135 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | -| 0.8132 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=5 | -| 0.8129 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01, min_samples_leaf=5 | -| 0.8129 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=13 | -| 0.8122 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | -| 0.8118 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | -| 0.8116 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01, min_samples_leaf=13 | -| 0.8104 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01, min_samples_leaf=1 | -| 0.8102 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=7 | -| 0.8102 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | -| 0.81 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=13 | -| 0.8097 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | -| 0.8096 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=13 | -| 0.8095 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | -| 0.8092 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | -| 0.809 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=1 | -| 0.8089 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01, min_samples_leaf=13 | -| 0.8089 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | -| 0.8084 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01, min_samples_leaf=3 | -| 0.8082 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | -| 0.8076 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | -| 0.8075 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | -| 0.8073 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01, min_samples_leaf=7 | -| 0.8058 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | -| 0.8057 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | -| 0.8056 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | -| 0.8053 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01, min_samples_leaf=1 | -| 0.8051 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | -| 0.805 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | -| 0.8044 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=7 | -| 0.8043 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01, min_samples_leaf=5 | -| 0.8039 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | -| 0.8039 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01, min_samples_leaf=3 | -| 0.8034 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=3 | -| 0.8027 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=7 | -| 0.8026 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | -| 0.8022 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | -| 0.8022 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=7 | -| 0.8019 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=5 | -| 0.8015 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | -| 0.8014 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | -| 0.8014 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | -| 0.8 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | -| 0.7998 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | -| 0.7996 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=3 | -| 0.7995 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=1 | -| 0.7983 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=3 | -| 0.7976 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | -| 0.7976 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=7 | -| 0.7975 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | -| 0.7975 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=13 | -| 0.7972 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | -| 0.7967 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | -| 0.7963 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=1 | -| 0.7962 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=1 | -| 0.796 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | -| 0.796 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=1 | -| 0.7948 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | -| 0.7947 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | -| 0.7945 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | -| 0.7944 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=13 | -| 0.7938 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01, min_samples_leaf=1 | -| 0.7934 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01, min_samples_leaf=5 | -| 0.7932 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01, min_samples_leaf=7 | -| 0.7931 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01, min_samples_leaf=3 | -| 0.7921 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01, min_samples_leaf=13 | -| 0.7918 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | -| 0.7907 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=1 | -| 0.7894 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | -| 0.7889 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=5 | -| 0.7878 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | -| 0.7867 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=5 | -| 0.7864 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | -| 0.7859 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | -| 0.7856 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1, min_samples_leaf=1 | -| 0.7856 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=7 | -| 0.784 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=7 | -| 0.7838 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=3 | -| 0.7823 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | -| 0.7821 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | -| 0.7812 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1, min_samples_leaf=3 | -| 0.7808 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | -| 0.7806 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | -| 0.7803 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | -| 0.7802 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | -| 0.778 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=3 | -| 0.7779 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=1, min_samples_leaf=3 | -| 0.7777 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=3 | -| 0.7768 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=7 | -| 0.7761 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | -| 0.7755 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=5 | -| 0.775 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1, min_samples_leaf=7 | -| 0.775 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1, min_samples_leaf=7 | -| 0.7736 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=7 | -| 0.7735 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=3 | -| 0.7735 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=1 | -| 0.7735 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=13 | -| 0.7706 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1, min_samples_leaf=7 | -| 0.7703 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1, min_samples_leaf=13 | -| 0.7702 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=1 | -| 0.7687 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=5 | -| 0.7679 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=3 | -| 0.7676 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | -| 0.7655 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | -| 0.7592 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1, min_samples_leaf=13 | -| 0.7545 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=5 | -| 0.7543 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1, min_samples_leaf=5 | -| 0.7518 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1, min_samples_leaf=1 | -| 0.7509 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1, min_samples_leaf=1 | -| 0.7489 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | -| 0.7441 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=13 | -| 0.742 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=1, min_samples_leaf=7 | -| 0.7419 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=13 | -| 0.7387 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=13 | -| 0.7371 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1, min_samples_leaf=5 | -| 0.7368 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=7 | -| 0.7365 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=1 | -| 0.7357 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1, min_samples_leaf=13 | -| 0.7327 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=1, min_samples_leaf=13 | -| 0.7296 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=3 | -| 0.7291 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=1, min_samples_leaf=5 | -| 0.722 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | -| 0.7196 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=1, min_samples_leaf=1 | -| 0.7159 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | -| 0.7132 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | -| 0.7061 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1, min_samples_leaf=3 | -| 0.675 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=7 | -| 0.6691 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5, min_samples_leaf=7 | -| 0.6681 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=3 | -| 0.667 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1, min_samples_leaf=7 | -| 0.6624 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1, min_samples_leaf=13 | -| 0.6611 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5, min_samples_leaf=1 | -| 0.6599 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | -| 0.6597 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5, min_samples_leaf=3 | -| 0.6544 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1, min_samples_leaf=5 | -| 0.6543 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=1 | -| 0.6499 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=13 | -| 0.6493 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | -| 0.6487 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1, min_samples_leaf=3 | -| 0.6467 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=13 | -| 0.6311 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | -| 0.6251 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | -| 0.6249 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=13 | -| 0.6187 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=7 | -| 0.6158 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=7 | -| 0.6143 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=5 | -| 0.6141 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | -| 0.6129 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1, min_samples_leaf=5 | -| 0.6085 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1, min_samples_leaf=7 | -| 0.6084 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=13 | -| 0.6068 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=5 | -| 0.6064 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | -| 0.6041 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=5 | -| 0.6017 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=5 | -| 0.6005 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=7 | -| 0.5995 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=13 | -| 0.5991 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=1 | -| 0.5967 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | -| 0.5964 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | -| 0.5955 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=13 | -| 0.5939 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=7 | -| 0.5931 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1, min_samples_leaf=13 | -| 0.593 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | -| 0.5928 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | -| 0.5928 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=1 | -| 0.5908 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=5 | -| 0.5891 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | -| 0.5891 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | -| 0.589 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=5 | -| 0.5881 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | -| 0.588 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=3 | -| 0.5877 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1, min_samples_leaf=3 | -| 0.5875 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1, min_samples_leaf=7 | -| 0.5874 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | -| 0.5869 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | -| 0.586 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=3 | -| 0.5853 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | -| 0.5841 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | -| 0.5837 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | -| 0.5836 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | -| 0.583 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | -| 0.5829 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=1 | -| 0.5829 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1, min_samples_leaf=13 | -| 0.5826 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=13 | -| 0.5825 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=3 | -| 0.5817 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | -| 0.5808 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | -| 0.5801 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=1 | -| 0.5795 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=7 | -| 0.5787 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | -| 0.5782 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=13 | -| 0.5781 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=3 | -| 0.5774 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | -| 0.5772 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=13 | -| 0.5771 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=7 | -| 0.577 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=1 | -| 0.5763 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=13 | -| 0.5759 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | -| 0.5745 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | -| 0.5745 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=7 | -| 0.5743 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=7 | -| 0.574 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | -| 0.5737 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | -| 0.5734 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=3 | -| 0.5725 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=1 | -| 0.5724 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1, min_samples_leaf=5 | -| 0.5719 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=1 | -| 0.5692 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | -| 0.5691 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=1 | -| 0.5687 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=7 | -| 0.5685 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | -| 0.5683 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=3 | -| 0.5679 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=5 | -| 0.5672 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=3 | -| 0.5663 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | -| 0.5663 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | -| 0.5663 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | -| 0.5661 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=1 | -| 0.5647 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=13 | -| 0.5645 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | -| 0.5639 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | -| 0.5639 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | -| 0.5636 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=13 | -| 0.5634 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | -| 0.5633 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=7 | -| 0.5622 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | -| 0.562 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=3 | -| 0.5615 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=3 | -| 0.5615 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | -| 0.5614 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=5 | -| 0.56 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1, min_samples_leaf=1 | -| 0.5599 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=3 | -| 0.5597 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | -| 0.5596 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | -| 0.5594 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=3 | -| 0.559 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=7 | -| 0.5563 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=5 | -| 0.556 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=7 | -| 0.5539 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | -| 0.5534 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | -| 0.5527 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | -| 0.5526 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=1 | -| 0.5509 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | -| 0.5501 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | -| 0.5476 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=13 | -| 0.5465 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | -| 0.5458 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=3 | -| 0.5451 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=1 | -| 0.5447 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | -| 0.5445 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=7 | -| 0.544 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=3 | -| 0.5434 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=7 | -| 0.5425 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=13 | -| 0.5402 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=5 | -| 0.5393 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=1 | -| 0.5384 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=13 | -| 0.536 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=1 | -| 0.5351 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | -| 0.5321 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=3 | -| 0.5177 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=1 | -| 0.5134 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=5 | -| 0.5086 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=1 | -| 0.505 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=3 | -| 0.4952 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=7 | -| 0.4871 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=13 | -| 0.4807 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=5 | +| 0.8255 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.8248 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.8246 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.8243 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.8241 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.824 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.8227 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.8227 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.8221 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.822 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.822 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.8219 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.8217 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.8217 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.8216 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.8214 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.8213 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.8211 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.8211 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.8208 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.8207 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.8206 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.8206 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.8204 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.8204 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.8202 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.82 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.82 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.8199 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.8199 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.8198 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.8194 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.8194 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.8194 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.8192 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.8191 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.819 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.8189 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.8189 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.8187 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.8186 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.8186 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.8181 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.8179 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.8178 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.8177 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.8175 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.8172 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.8172 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.8169 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.8167 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.8162 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.8158 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.8154 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.8152 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.8149 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.8148 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.8145 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.8143 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.814 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.8135 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.8131 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.8124 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.8121 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.8121 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.812 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.8114 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.8113 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.8111 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.8108 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.8106 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.8102 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.8101 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.81 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.8093 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.8093 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.8091 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.8091 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.8088 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.8086 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.808 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.8077 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.8075 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.8074 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.8073 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.807 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.8065 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.806 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.8052 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.8046 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.8045 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.8037 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.8031 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.803 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.8029 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.8027 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.8026 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.8024 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.802 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.8016 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.8015 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.8011 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.7998 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.7997 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.7994 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.798 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.7972 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.7965 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.7958 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.7955 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.7954 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.7953 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.7952 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.7951 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.7951 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.7946 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.7913 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.7908 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.7907 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.7903 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.7901 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.7898 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.7896 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.7879 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.7877 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.787 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.7864 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.786 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.7822 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.78 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.7794 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.7789 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.7786 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.7777 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.7769 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.776 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.7758 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.7745 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.7743 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.7737 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.7735 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.7718 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.7712 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.7708 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.7691 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.7678 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.7667 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.7639 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.7607 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.7606 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.7605 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.7603 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.76 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.76 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.7581 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.7578 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.7576 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.7508 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.7461 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.7442 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.7426 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.742 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.7405 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.7375 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.7358 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.7338 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.7337 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.7327 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.7324 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.7272 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.7267 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.725 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.7109 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.7101 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.7051 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.7039 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.6998 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.6991 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.6983 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.6795 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.6762 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.6761 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.6751 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.6624 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.6556 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.6549 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.649 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.649 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.6465 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.6445 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.6423 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.6418 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.6411 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.6377 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.634 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.6288 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.6276 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.6247 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.6216 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.6196 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.6179 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.6179 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.6154 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.6129 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.6125 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.6094 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.6094 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.6093 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.6077 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.6041 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.6025 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.6017 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.6015 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.6013 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.601 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.6009 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.6008 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.6008 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.5995 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.5989 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.5967 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.5966 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.5965 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.5962 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.5933 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.5919 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.5917 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.5909 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.5908 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.5904 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.5894 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.5892 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.5891 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.589 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.5889 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.5889 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.5884 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.5884 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.5876 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.5874 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.5865 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.586 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.5859 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.5851 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.5845 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.5841 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.5812 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.5811 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.581 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.5808 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.5806 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.5803 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.5803 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.5802 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.5799 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.5797 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.5773 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.5768 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.5765 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.5765 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.5762 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.576 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.5752 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.5748 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.5745 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.5742 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.5738 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.5736 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.573 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.5729 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.5724 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.5719 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.5717 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.5706 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.5689 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.5689 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.5681 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.568 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.5677 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.5673 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.5668 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.5667 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.566 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.5655 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.5653 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.5637 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.5632 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.5631 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.5631 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.5618 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.5611 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.5606 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.5605 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.5604 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.5599 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.5585 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.5574 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.5574 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.5552 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.5548 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.5531 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.5525 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.5525 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.5518 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.5508 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.5508 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.5486 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.5483 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.5458 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.5432 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.5391 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.5374 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.5354 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.5309 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.5293 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.5283 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.5254 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.52 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.5114 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.4945 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | ## GaussianNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.7784 | | - -## LogisticRegression -| roc_auc.labels.false | params | -|-----------------------:|:--------------------| -| 0.7864 | penalty="l1", C=1 | -| 0.7856 | penalty="l1", C=0.1 | -| 0.7809 | penalty="l1", C=10 | -| 0.5788 | penalty="l2", C=1 | -| 0.5628 | penalty="l2", C=10 | -| 0.5496 | penalty="l2", C=0.1 | +| 0.8191 | | ## BernoulliNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.7563 | | +| 0.7834 | | + +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.7377 | C=0.1, penalty="l2" | +| 0.7224 | C=1, penalty="l2" | +| 0.7093 | C=10, penalty="l2" | ## RandomForestClassifier | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------| -| 0.8144 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | -| 0.8137 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | -| 0.8125 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | -| 0.8119 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | -| 0.811 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=13 | -| 0.8104 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=7 | -| 0.8092 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | -| 0.8038 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=3 | -| 0.8035 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=13 | -| 0.8035 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | -| 0.8002 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | -| 0.7991 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | -| 0.7984 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=7 | -| 0.7981 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=5 | -| 0.7976 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | -| 0.7942 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | -| 0.7915 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | -| 0.7912 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | -| 0.7887 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | -| 0.7885 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | -| 0.7885 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | -| 0.7878 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | -| 0.7874 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | -| 0.786 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | -| 0.786 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | -| 0.784 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | -| 0.7835 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | -| 0.7825 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | -| 0.78 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | -| 0.7786 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | -| 0.7779 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | -| 0.7779 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | -| 0.7777 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | -| 0.7765 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | -| 0.7761 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | -| 0.7751 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | -| 0.7718 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | -| 0.7671 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | -| 0.7603 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | -| 0.7597 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | -| 0.7535 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | -| 0.7524 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | -| 0.7515 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | -| 0.7513 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=1 | -| 0.7507 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | -| 0.7469 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | -| 0.7431 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | -| 0.7351 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | -| 0.7333 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | -| 0.7307 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | -| 0.7241 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | -| 0.7221 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | -| 0.7059 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | -| 0.7053 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | -| 0.6996 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | -| 0.6962 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | -| 0.6927 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | -| 0.6897 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | -| 0.6894 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | -| 0.6837 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | -| 0.6744 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | -| 0.6722 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | -| 0.6697 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | -| 0.6682 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | -| 0.6676 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | -| 0.6552 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | -| 0.6497 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | -| 0.6396 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | -| 0.608 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | -| 0.5792 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | +| 0.8306 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.8301 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8286 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8265 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8231 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8218 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8211 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8207 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8204 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8186 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8182 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8181 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8169 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8159 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8153 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.8145 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8137 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8114 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8104 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.809 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8086 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8065 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8047 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.8042 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8031 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8029 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8012 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.7998 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.7994 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.7984 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.797 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.7965 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.7955 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.791 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.7904 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.7842 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.7806 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.7772 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.7769 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.7737 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.7674 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.7668 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.7665 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.7662 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.7628 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.7614 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.7603 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.7602 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.7601 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.7591 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.7565 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.7498 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.7444 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.7365 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.7327 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.7299 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.7259 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.7193 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.7096 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.7091 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.7014 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.7008 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.6971 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.6888 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.6884 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.6517 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.6491 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.6428 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.6293 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.6173 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | diff --git a/tuning_reports/kowiki.damaging.md b/tuning_reports/kowiki.damaging.md index f57b8110..b2f1cff1 100644 --- a/tuning_reports/kowiki.damaging.md +++ b/tuning_reports/kowiki.damaging.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.3.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.kowiki.damaging -- Date: 2019-02-13T16:06:52.967438 -- Observations: 19519 +- Date: 2021-02-04T14:24:42.335202 +- Observations: 19424 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.8883 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=700 | -| GradientBoosting | 0.8876 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=700 | -| GradientBoosting | 0.8876 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=300 | -| RandomForestClassifier | 0.8873 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=640 | -| RandomForestClassifier | 0.8872 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=640 | -| RandomForestClassifier | 0.8872 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=320 | -| GradientBoosting | 0.8871 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=300 | -| GradientBoosting | 0.8865 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=500 | -| RandomForestClassifier | 0.8863 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=640 | -| RandomForestClassifier | 0.8863 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=320 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.8879 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | +| GradientBoosting | 0.8877 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | +| GradientBoosting | 0.8876 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.8874 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.8873 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.887 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.887 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | +| GradientBoosting | 0.887 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | +| GradientBoosting | 0.8869 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | +| GradientBoosting | 0.8868 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | # Models -## GaussianNB +## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.5504 | | +| 0.7902 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.8466 | C=10, penalty="l1" | -| 0.8439 | C=1, penalty="l1" | -| 0.8368 | C=0.1, penalty="l1" | -| 0.5799 | C=1, penalty="l2" | -| 0.5684 | C=10, penalty="l2" | -| 0.5618 | C=0.1, penalty="l2" | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.8883 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.8876 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.8876 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.8871 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.8865 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.886 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.886 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.8858 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.8855 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.8855 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.8846 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.8846 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.8838 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.8835 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.8834 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.8833 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.8824 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.8824 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.8803 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.8802 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.88 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.879 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.8787 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.8779 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.8743 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.8738 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.8738 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.873 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.8729 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.8713 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.8712 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.8708 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.8681 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.8659 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.8644 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.8641 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.8591 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.8588 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.8573 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.85 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.8473 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.8471 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.8469 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.8447 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.8383 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.8347 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.834 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.8322 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.8224 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.8072 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.8044 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.8041 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.7904 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.7691 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.766 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.7555 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.7524 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.749 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.734 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.7206 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.7159 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.7144 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.7058 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.6814 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=700 | +| 0.6548 | penalty="l2", C=10 | +| 0.6442 | penalty="l2", C=1 | +| 0.6426 | penalty="l2", C=0.1 | -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.7735 | | +| 0.5567 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8879 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8877 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8876 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8874 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8873 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.887 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.887 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.887 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8869 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8868 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8868 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8868 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8867 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8866 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8865 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8864 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8864 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8864 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8864 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8862 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8861 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8859 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8859 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8859 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8859 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8858 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8857 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8857 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8856 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8856 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8856 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8856 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8855 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8855 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8855 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8854 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8854 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8852 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8851 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8851 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8851 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8849 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8849 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8849 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8846 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8846 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8846 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8845 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8844 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8844 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8844 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8842 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8842 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8839 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8839 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8837 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8836 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8835 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8834 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8834 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8833 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8833 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8833 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8833 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8832 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8832 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8832 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8831 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.883 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8829 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8829 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8829 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8829 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8827 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8827 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8824 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8823 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.8822 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8822 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8822 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8821 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8818 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8817 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8817 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8815 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8815 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8815 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8815 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8814 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8814 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8813 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8811 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8811 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8808 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8802 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8802 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8801 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8801 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8801 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8801 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.88 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.88 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8798 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8798 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8797 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8797 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8796 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8795 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8795 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8794 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8793 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8792 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.8792 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8791 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.8791 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.8791 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8789 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.8787 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8786 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.8782 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8778 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.8778 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8775 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.877 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.877 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.8765 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8764 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.8762 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.8759 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8754 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8754 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.8751 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8751 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.875 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.8749 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8749 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8748 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8746 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8744 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8742 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.8738 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8735 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8733 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8731 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.873 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.873 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8721 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.872 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8719 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8718 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8716 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8713 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8711 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8709 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8705 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8704 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8699 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8693 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8691 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.869 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8688 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8685 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8683 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8681 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8679 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8674 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8672 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8672 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.867 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.867 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8668 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8667 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8666 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8666 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | +| 0.8664 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | +| 0.8663 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8655 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | +| 0.8644 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8637 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8634 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8634 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8627 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8627 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8623 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8621 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.862 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.8615 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | +| 0.861 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8608 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8599 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8594 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8583 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | +| 0.8564 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8553 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.855 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8549 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8549 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8545 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8545 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8534 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.853 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8529 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8522 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8521 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | +| 0.8516 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8512 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.851 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8503 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8503 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8501 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8491 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8489 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8482 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8469 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8465 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8462 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8457 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8453 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8429 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8425 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.842 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.8419 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8417 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8415 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8412 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8407 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | +| 0.8401 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8394 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8394 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8387 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | +| 0.8382 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8376 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8375 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8355 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8354 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8333 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | +| 0.8328 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8283 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8281 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.822 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.8149 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.8144 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.814 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.8133 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8108 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8108 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8094 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8091 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8088 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8073 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8051 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.804 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.8037 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.8032 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.8023 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.8022 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.8014 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7973 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7964 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.7937 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7897 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7847 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7793 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7756 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.7754 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.774 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7726 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.77 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.7686 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.7684 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7673 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7663 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.7649 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7626 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7612 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.7605 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.7589 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7588 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.7559 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.7549 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.754 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.7539 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.7499 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | +| 0.7477 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | +| 0.7475 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7458 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.7453 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | +| 0.7441 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7437 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7433 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7431 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7424 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7398 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | +| 0.7393 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7378 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7304 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7284 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7278 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7277 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7264 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7254 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7234 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7199 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7166 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7156 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7151 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7151 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.7111 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7076 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7052 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.7029 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.7 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.6997 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.6985 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | +| 0.6983 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.6961 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.6846 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | +| 0.6816 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.6764 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | +| 0.6729 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.8873 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=640 | -| 0.8872 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=640 | -| 0.8872 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=320 | -| 0.8863 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=640 | -| 0.8863 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=320 | -| 0.8856 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=320 | -| 0.8855 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=160 | -| 0.8854 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=320 | -| 0.8854 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=160 | -| 0.8846 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=640 | -| 0.8841 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=160 | -| 0.8838 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=640 | -| 0.8838 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=160 | -| 0.8835 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=640 | -| 0.8834 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=640 | -| 0.8834 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=320 | -| 0.883 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=80 | -| 0.8829 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=640 | -| 0.8829 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=640 | -| 0.8829 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=80 | -| 0.8828 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=320 | -| 0.8828 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=80 | -| 0.8827 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=320 | -| 0.8827 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=80 | -| 0.8821 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=160 | -| 0.882 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=320 | -| 0.8819 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=160 | -| 0.8817 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=320 | -| 0.8814 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=80 | -| 0.8806 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=80 | -| 0.8806 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=160 | -| 0.8802 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=80 | -| 0.8792 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=40 | -| 0.8787 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=40 | -| 0.8785 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=160 | -| 0.8785 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=40 | -| 0.8784 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=160 | -| 0.8781 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=40 | -| 0.8775 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=40 | -| 0.8773 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=640 | -| 0.877 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=320 | -| 0.876 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=20 | -| 0.8758 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=40 | -| 0.8744 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=80 | -| 0.8742 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=20 | -| 0.8728 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=40 | -| 0.8723 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=80 | -| 0.8721 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=20 | -| 0.8718 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=160 | -| 0.87 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=40 | -| 0.8694 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=20 | -| 0.8684 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=20 | -| 0.8665 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=10 | -| 0.866 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=10 | -| 0.8656 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=20 | -| 0.8651 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=20 | -| 0.865 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=80 | -| 0.8592 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=10 | -| 0.8559 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=10 | -| 0.8552 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=10 | -| 0.8545 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=20 | -| 0.852 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=40 | -| 0.8495 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=40 | -| 0.8456 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=10 | -| 0.8392 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=10 | -| 0.8347 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=10 | -| 0.8275 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=20 | -| 0.8219 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=20 | -| 0.7747 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=10 | -| 0.7709 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=10 | +| 0.8861 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.8855 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.8855 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.8854 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.8853 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.8851 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.8848 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.8848 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.8845 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.8845 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.8831 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.8821 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.8818 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.8816 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.8816 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.8815 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.8815 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.8815 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.8814 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.8812 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.8807 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.8804 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.8803 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.8802 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.8801 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.8801 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.8801 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.8799 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.8798 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.8798 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.8795 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.8795 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.879 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.8787 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.8777 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.8773 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.8766 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.8759 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.8758 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.8757 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.8756 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.8753 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.8746 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.8724 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.8723 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.8722 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.8718 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.8709 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.8701 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8695 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.869 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.8685 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.8674 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.8662 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8652 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8652 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.8652 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.8645 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8595 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8588 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.8547 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8542 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.8519 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8507 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8493 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8457 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8269 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8262 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.7906 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.7775 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | diff --git a/tuning_reports/kowiki.goodfaith.md b/tuning_reports/kowiki.goodfaith.md index 7adfb16f..97f537c8 100644 --- a/tuning_reports/kowiki.goodfaith.md +++ b/tuning_reports/kowiki.goodfaith.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.3.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.kowiki.goodfaith -- Date: 2019-02-13T16:16:49.392062 -- Observations: 19519 +- Date: 2021-02-04T14:51:13.077580 +- Observations: 19424 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GaussianNB | 0.9913 | | -| GradientBoosting | 0.962 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9619 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9545 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| GradientBoosting | 0.9514 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9474 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9459 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| GradientBoosting | 0.9438 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9398 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| GradientBoosting | 0.9369 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.8998 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.01 | +| GradientBoosting | 0.8996 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.01 | +| GradientBoosting | 0.899 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.01 | +| GradientBoosting | 0.8987 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.01 | +| GradientBoosting | 0.8986 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.1 | +| GradientBoosting | 0.8984 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.01 | +| GradientBoosting | 0.8982 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.1 | +| GradientBoosting | 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.1 | +| GradientBoosting | 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.01 | +| GradientBoosting | 0.898 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.01 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.962 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9619 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9545 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9514 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9474 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9459 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9438 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9398 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9369 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9318 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9296 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9151 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9092 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9057 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.903 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9012 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9006 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9001 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8986 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8985 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8983 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8975 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8973 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8967 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8966 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8962 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8953 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.895 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8946 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8945 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8943 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8942 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8939 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8932 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8929 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8927 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8927 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8915 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8899 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8889 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8883 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8881 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8878 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8878 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8877 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8869 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8857 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8854 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8851 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.885 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8837 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8802 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8797 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8766 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8728 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8726 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8713 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8703 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8669 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8651 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8608 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8491 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8484 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.571 | | -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9014 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.9011 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.8987 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.8986 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.8984 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.8982 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.8982 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.8982 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.8981 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.8976 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.8976 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.8971 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.897 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.897 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.8963 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.8953 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.8951 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.8951 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.895 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.895 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.895 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.8948 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.8944 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.8943 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.8941 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.8939 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.8936 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.8933 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.8933 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.8932 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.8932 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.8931 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.8929 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.8929 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.8928 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.8928 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.8911 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.8907 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.8902 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.8899 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.8898 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.8896 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.8896 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8891 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.8885 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.8883 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.8877 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.8859 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.8856 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.8854 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.8848 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.8839 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.8835 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.8834 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8834 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.8825 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8816 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8811 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8807 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8792 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.879 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.877 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8752 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8732 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8698 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8696 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8694 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.8694 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8686 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8657 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.7921 | | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8743 | C=10, penalty="l1" | -| 0.8676 | C=1, penalty="l1" | -| 0.8506 | C=0.1, penalty="l1" | -| 0.5405 | C=0.1, penalty="l2" | -| 0.5332 | C=10, penalty="l2" | -| 0.523 | C=1, penalty="l2" | +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.8952 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="entropy" | +| 0.8952 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="entropy" | +| 0.8951 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="entropy" | +| 0.8947 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="entropy" | +| 0.8946 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="entropy" | +| 0.8941 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="entropy" | +| 0.8941 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="entropy" | +| 0.8937 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="entropy" | +| 0.8934 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="entropy" | +| 0.8931 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="entropy" | +| 0.893 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="entropy" | +| 0.8924 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="gini" | +| 0.8915 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="entropy" | +| 0.8915 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="entropy" | +| 0.8912 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="entropy" | +| 0.8912 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="entropy" | +| 0.8911 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="gini" | +| 0.8906 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="gini" | +| 0.8903 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="entropy" | +| 0.8902 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="gini" | +| 0.8896 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="gini" | +| 0.8894 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="gini" | +| 0.8893 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="gini" | +| 0.8891 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="entropy" | +| 0.889 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="entropy" | +| 0.889 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="gini" | +| 0.889 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="gini" | +| 0.8887 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="gini" | +| 0.8887 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="gini" | +| 0.8884 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="gini" | +| 0.8884 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="gini" | +| 0.8875 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="entropy" | +| 0.8866 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="gini" | +| 0.8864 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="gini" | +| 0.8862 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="entropy" | +| 0.8854 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="gini" | +| 0.8851 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="gini" | +| 0.8846 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="entropy" | +| 0.8845 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="gini" | +| 0.8843 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="gini" | +| 0.8841 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="entropy" | +| 0.883 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="entropy" | +| 0.8827 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="entropy" | +| 0.8823 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="gini" | +| 0.8821 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="gini" | +| 0.8812 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="entropy" | +| 0.88 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="gini" | +| 0.8799 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="gini" | +| 0.8794 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="gini" | +| 0.8776 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="entropy" | +| 0.8751 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="gini" | +| 0.8747 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="gini" | +| 0.8737 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="entropy" | +| 0.8729 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="gini" | +| 0.8696 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="entropy" | +| 0.8692 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="gini" | +| 0.8682 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="entropy" | +| 0.868 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="gini" | +| 0.8666 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="gini" | +| 0.8662 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="entropy" | +| 0.8633 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="entropy" | +| 0.8611 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="gini" | +| 0.8569 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="gini" | +| 0.8488 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="entropy" | +| 0.8475 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="entropy" | +| 0.842 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="gini" | +| 0.8193 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="entropy" | +| 0.8157 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="gini" | +| 0.7764 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="entropy" | +| 0.7718 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="gini" | -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.7916 | | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8998 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.8996 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.899 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.8987 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.8986 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.8984 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.8982 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.898 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.8979 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.8977 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.8977 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.01 | +| 0.8975 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.8975 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.1 | +| 0.8975 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.8974 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.8974 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.8972 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.8971 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.8971 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.8969 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.8969 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.8968 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.8967 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.8967 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.8965 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.8964 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.8963 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.8963 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.01 | +| 0.8962 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.896 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.8959 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.8959 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.1 | +| 0.8959 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.8957 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.8956 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.8955 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.8954 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.1 | +| 0.8953 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.8953 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.8952 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.8952 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.895 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.8949 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.8949 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.8948 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.8947 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.8947 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.8946 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.8946 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.8945 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.8944 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.01 | +| 0.8943 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.8942 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.8942 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.5 | +| 0.8941 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.8941 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.8939 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.8939 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.8937 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.8936 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.8936 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.8936 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.8935 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.8934 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.8934 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.8933 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.8933 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.8931 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.01 | +| 0.8931 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.5 | +| 0.8929 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.8929 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.1 | +| 0.8928 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.01 | +| 0.8928 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.8928 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.8928 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.8927 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.8926 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.8923 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.8923 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.01 | +| 0.8922 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.8922 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.8922 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.01 | +| 0.8921 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.8919 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.8919 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.1 | +| 0.8918 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.8918 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.8917 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.1 | +| 0.8917 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.8915 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.5 | +| 0.8913 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.8912 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.01 | +| 0.891 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.8907 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.8905 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.8904 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.8897 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.1 | +| 0.8886 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.5 | +| 0.8883 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.8883 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.888 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.8879 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.8879 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.8878 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.8878 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.8875 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.8875 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.8873 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.8873 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.8871 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.01 | +| 0.8867 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.8867 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.8866 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.01 | +| 0.8866 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.8864 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.8862 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.8862 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.8858 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.8854 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.8854 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.01 | +| 0.8853 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.8849 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=1 | +| 0.8847 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.8846 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.8844 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.884 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.884 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.1 | +| 0.884 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.8838 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.8833 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.883 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.8822 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.8821 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.8819 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.8816 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.8816 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.8811 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.1 | +| 0.8806 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.1 | +| 0.8796 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.8794 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.879 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.879 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.8786 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.8786 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.878 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.8777 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.8775 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.8775 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.01 | +| 0.877 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.8769 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.8768 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.1 | +| 0.8767 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.8766 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.8762 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.8759 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.8758 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.8754 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.8754 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.8753 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.8751 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.8747 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.8744 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.8739 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.8736 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.1 | +| 0.8735 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.8733 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.8732 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.873 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.873 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.8723 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.8722 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.8714 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.01 | +| 0.8713 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.8713 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.01 | +| 0.871 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.871 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.5 | +| 0.8705 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=1 | +| 0.8703 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.8696 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.869 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.1 | +| 0.8663 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=1 | +| 0.8661 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8654 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8652 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.8648 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.1 | +| 0.864 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8639 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8637 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.01 | +| 0.8622 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.8618 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=1 | +| 0.861 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.859 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.8588 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.8573 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.856 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.856 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.8557 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.8556 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.8532 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.8532 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.5 | +| 0.8515 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.851 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.8509 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8505 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8498 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8487 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8485 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.8482 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8482 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.8466 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.01 | +| 0.8466 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.8466 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.5 | +| 0.846 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.8456 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.8452 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.5 | +| 0.8448 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.8423 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.1 | +| 0.8385 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.8358 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8353 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8322 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.5 | +| 0.8306 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.8306 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8275 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.8254 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8244 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.823 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8229 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.8216 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8205 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8191 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8184 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.5 | +| 0.8183 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.8174 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.8163 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.8151 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.8148 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=1 | +| 0.8135 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.8131 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.1 | +| 0.8124 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8116 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8114 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=1 | +| 0.8102 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.5 | +| 0.8079 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.8004 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.7993 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.794 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.791 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.7904 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.7903 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.786 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.7824 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.7819 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.7751 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.7719 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=1 | +| 0.7645 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.7624 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.7615 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.7613 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=1 | +| 0.7609 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.7605 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.7592 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.7591 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=1 | +| 0.7571 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.7562 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.7539 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.7517 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.5 | +| 0.7494 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.7487 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.747 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.7463 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.7461 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.7443 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.7426 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.7422 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.5 | +| 0.7421 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.7404 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.7403 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.7396 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.7395 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.7378 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.5 | +| 0.7365 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.7362 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.7351 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.7334 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.7316 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.7312 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.5 | +| 0.729 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=1 | +| 0.7272 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.5 | +| 0.7256 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.7216 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.7143 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.7139 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.7073 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.7061 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.7039 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.7008 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.7 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.6987 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.6966 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.6929 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.6926 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.6926 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.6905 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.688 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.688 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.6818 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.6818 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.6777 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=1 | +| 0.673 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.6721 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.6708 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=1 | +| 0.6682 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.6672 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=1 | +| 0.6621 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=1 | +| 0.6545 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.654 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=1 | +| 0.6523 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=1 | -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9913 | | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.6551 | C=1, penalty="l2" | +| 0.6548 | C=10, penalty="l2" | +| 0.6508 | C=0.1, penalty="l2" | diff --git a/tuning_reports/zhwiki.damaging.md b/tuning_reports/zhwiki.damaging.md index e6c25ee1..e69de29b 100644 --- a/tuning_reports/zhwiki.damaging.md +++ b/tuning_reports/zhwiki.damaging.md @@ -1,442 +0,0 @@ -# Model tuning report -- Revscoring version: 2.4.0 -- Features: editquality.feature_lists.zhwiki.damaging -- Date: 2019-05-30T23:21:42.971426 -- Observations: 68910 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| -| GaussianNB | 0.9401 | | -| GradientBoosting | 0.8719 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| GradientBoosting | 0.8718 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| GradientBoosting | 0.871 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| GradientBoosting | 0.8705 | min_samples_leaf=3, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| GradientBoosting | 0.8703 | min_samples_leaf=5, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| GradientBoosting | 0.8703 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| GradientBoosting | 0.8699 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2" | -| GradientBoosting | 0.8699 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| GradientBoosting | 0.8694 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2" | - -# Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8474 | penalty="l1", C=1 | -| 0.8446 | penalty="l1", C=10 | -| 0.8417 | penalty="l1", C=0.1 | -| 0.7773 | penalty="l2", C=1 | -| 0.7761 | penalty="l2", C=0.1 | -| 0.7707 | penalty="l2", C=10 | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------------------| -| 0.8719 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8718 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.871 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8705 | min_samples_leaf=3, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8703 | min_samples_leaf=5, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8703 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8699 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8699 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8694 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8694 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8693 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8692 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8691 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8691 | min_samples_leaf=13, n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.869 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8689 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8689 | min_samples_leaf=1, n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8687 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8685 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8684 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8684 | min_samples_leaf=3, n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8682 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8682 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8681 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8678 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2" | 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learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8666 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8664 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8663 | min_samples_leaf=3, n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8663 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8663 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8662 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.866 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8657 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8656 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8656 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8656 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8654 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8654 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.865 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.865 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8648 | min_samples_leaf=13, n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8648 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8646 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8645 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8644 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8642 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8642 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8641 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.864 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8639 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8639 | min_samples_leaf=13, n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8638 | min_samples_leaf=5, n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8638 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8637 | min_samples_leaf=3, n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8636 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8636 | min_samples_leaf=13, n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8633 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.863 | min_samples_leaf=1, n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2" | -| 0.8628 | min_samples_leaf=13, n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8626 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2" | -| 0.8623 | min_samples_leaf=1, n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8623 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8623 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8621 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8621 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8619 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8619 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8617 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8614 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8607 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8605 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8603 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2" | 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learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8593 | min_samples_leaf=7, n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8591 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2" | -| 0.8588 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8588 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8586 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8584 | min_samples_leaf=13, n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8582 | min_samples_leaf=1, n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8582 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8577 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8576 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8573 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8572 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8572 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8568 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8567 | min_samples_leaf=7, n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8564 | min_samples_leaf=1, n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8563 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8562 | min_samples_leaf=7, n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8562 | min_samples_leaf=5, n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8562 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8561 | min_samples_leaf=3, n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.856 | min_samples_leaf=1, n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8557 | min_samples_leaf=13, n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8556 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8549 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8547 | min_samples_leaf=13, n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8547 | min_samples_leaf=5, n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8546 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8539 | min_samples_leaf=5, n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8538 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8537 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8535 | min_samples_leaf=3, n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8535 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8534 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8532 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8523 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8521 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8517 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8514 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8512 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8505 | min_samples_leaf=1, n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2" | -| 0.8505 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2" | -| 0.8497 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_depth=1, max_features="log2" | -| 0.8483 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8473 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.847 | min_samples_leaf=1, n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.847 | min_samples_leaf=3, n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.847 | min_samples_leaf=5, n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.847 | min_samples_leaf=7, n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8469 | min_samples_leaf=13, n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2" | -| 0.8467 | min_samples_leaf=7, n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.846 | min_samples_leaf=13, n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8451 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8446 | min_samples_leaf=7, n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8439 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8435 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2" | -| 0.8423 | min_samples_leaf=5, n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8387 | min_samples_leaf=1, n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8382 | min_samples_leaf=3, n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8362 | min_samples_leaf=13, n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8352 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8349 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8327 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.8317 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8312 | min_samples_leaf=1, n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8302 | min_samples_leaf=5, n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8259 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.8242 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8242 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8218 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8216 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8211 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.818 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.817 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.8168 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_depth=1, max_features="log2" | -| 0.8144 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8137 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.8135 | min_samples_leaf=13, n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8127 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8123 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.8098 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8078 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2" | -| 0.8076 | min_samples_leaf=5, n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8041 | min_samples_leaf=7, n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.8015 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_depth=1, max_features="log2" | -| 0.7949 | min_samples_leaf=1, n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7944 | min_samples_leaf=5, n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7935 | min_samples_leaf=3, n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7922 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.7866 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.7863 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7779 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.7773 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.775 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7735 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7704 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_depth=3, max_features="log2" | -| 0.7676 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7652 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.7644 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7566 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7559 | min_samples_leaf=13, n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7549 | min_samples_leaf=7, n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7547 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.748 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7477 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7467 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_depth=1, max_features="log2" | -| 0.746 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_depth=1, max_features="log2" | -| 0.7458 | min_samples_leaf=5, n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.744 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.734 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_depth=1, max_features="log2" | -| 0.7338 | min_samples_leaf=1, n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.733 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.7327 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.731 | min_samples_leaf=3, n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7309 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_depth=1, max_features="log2" | -| 0.7284 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_depth=1, max_features="log2" | -| 0.7198 | min_samples_leaf=7, n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7188 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_depth=1, max_features="log2" | -| 0.716 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| 0.7144 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_depth=3, max_features="log2" | -| 0.7144 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_depth=1, max_features="log2" | -| 0.7115 | min_samples_leaf=5, n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7097 | min_samples_leaf=13, n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7056 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_depth=1, max_features="log2" | -| 0.705 | min_samples_leaf=3, n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.7045 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.7025 | min_samples_leaf=1, n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2" | -| 0.697 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6959 | min_samples_leaf=5, n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6937 | min_samples_leaf=13, n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6895 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_depth=1, max_features="log2" | -| 0.6845 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6812 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.675 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6721 | min_samples_leaf=7, n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.671 | min_samples_leaf=1, n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6674 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6662 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6641 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6639 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6635 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6603 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6587 | min_samples_leaf=5, n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6513 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_depth=1, max_features="log2" | -| 0.6495 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6478 | min_samples_leaf=3, n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6456 | min_samples_leaf=5, n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6443 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6442 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6439 | min_samples_leaf=1, n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6423 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_depth=1, max_features="log2" | -| 0.6415 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6407 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6405 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6395 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6392 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_depth=1, max_features="log2" | -| 0.6382 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6336 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_depth=5, max_features="log2" | -| 0.633 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6314 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6311 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6307 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_depth=3, max_features="log2" | -| 0.629 | min_samples_leaf=13, n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6283 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6277 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_depth=1, max_features="log2" | -| 0.627 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_depth=1, max_features="log2" | -| 0.6263 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6242 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6228 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6224 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6221 | min_samples_leaf=5, n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6219 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6219 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6191 | min_samples_leaf=1, n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.618 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6171 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6146 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6146 | min_samples_leaf=3, n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6145 | min_samples_leaf=3, n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.613 | min_samples_leaf=7, n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6108 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_depth=3, max_features="log2" | -| 0.6098 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6092 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6092 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6086 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | -| 0.6073 | min_samples_leaf=3, n_estimators=300, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6068 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.6025 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| 0.6014 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | -| 0.601 | min_samples_leaf=1, n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.6007 | min_samples_leaf=3, n_estimators=100, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5977 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5967 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.5951 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_depth=3, max_features="log2" | -| 0.5944 | min_samples_leaf=5, n_estimators=700, learning_rate=1, max_depth=3, max_features="log2" | -| 0.5934 | min_samples_leaf=3, n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.5934 | min_samples_leaf=13, n_estimators=100, learning_rate=1, max_depth=7, max_features="log2" | -| 0.593 | min_samples_leaf=13, n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2" | -| 0.5916 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_depth=7, max_features="log2" | -| 0.591 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_depth=3, max_features="log2" | -| 0.5894 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5872 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.5865 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_depth=7, max_features="log2" | -| 0.5861 | min_samples_leaf=1, n_estimators=300, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5859 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5857 | min_samples_leaf=5, n_estimators=100, learning_rate=1, max_depth=7, max_features="log2" | -| 0.5835 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| 0.5825 | min_samples_leaf=1, n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| 0.5816 | min_samples_leaf=13, n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.5816 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_depth=7, max_features="log2" | -| 0.5816 | min_samples_leaf=7, n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.5762 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_depth=7, max_features="log2" | -| 0.5753 | min_samples_leaf=5, n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.5726 | min_samples_leaf=3, n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2" | -| 0.5725 | min_samples_leaf=1, n_estimators=100, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5708 | min_samples_leaf=3, n_estimators=700, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5684 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_depth=3, max_features="log2" | -| 0.5637 | min_samples_leaf=7, n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2" | -| 0.5608 | min_samples_leaf=5, n_estimators=300, learning_rate=1, max_depth=7, max_features="log2" | -| 0.556 | min_samples_leaf=7, n_estimators=100, learning_rate=1, max_depth=7, max_features="log2" | -| 0.5446 | min_samples_leaf=7, n_estimators=300, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5401 | min_samples_leaf=1, n_estimators=500, learning_rate=1, max_depth=3, max_features="log2" | -| 0.5356 | min_samples_leaf=13, n_estimators=300, learning_rate=1, max_depth=7, max_features="log2" | -| 0.53 | min_samples_leaf=5, n_estimators=500, learning_rate=1, max_depth=5, max_features="log2" | -| 0.5222 | min_samples_leaf=13, n_estimators=500, learning_rate=1, max_depth=1, max_features="log2" | -| 0.5167 | min_samples_leaf=13, n_estimators=700, learning_rate=1, max_depth=3, max_features="log2" | -| 0.4751 | min_samples_leaf=7, n_estimators=500, learning_rate=1, max_depth=1, max_features="log2" | -| 0.4459 | min_samples_leaf=7, n_estimators=700, learning_rate=1, max_depth=1, max_features="log2" | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.8663 | min_samples_leaf=5, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.8652 | min_samples_leaf=13, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.8648 | min_samples_leaf=7, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.8627 | min_samples_leaf=7, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.8622 | min_samples_leaf=7, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.8601 | min_samples_leaf=3, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.8587 | min_samples_leaf=13, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.8587 | min_samples_leaf=13, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.858 | min_samples_leaf=13, criterion="gini", n_estimators=640, max_features="log2" | -| 0.8578 | min_samples_leaf=13, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.8574 | min_samples_leaf=7, criterion="gini", n_estimators=160, max_features="log2" | -| 0.8568 | min_samples_leaf=5, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.8567 | min_samples_leaf=13, criterion="gini", n_estimators=80, max_features="log2" | -| 0.8561 | min_samples_leaf=7, criterion="gini", n_estimators=640, max_features="log2" | -| 0.8561 | min_samples_leaf=5, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.8557 | min_samples_leaf=5, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.8552 | min_samples_leaf=13, criterion="gini", n_estimators=320, max_features="log2" | -| 0.8547 | min_samples_leaf=13, criterion="gini", n_estimators=160, max_features="log2" | -| 0.8539 | min_samples_leaf=5, criterion="gini", n_estimators=640, max_features="log2" | -| 0.8539 | min_samples_leaf=7, criterion="gini", n_estimators=320, max_features="log2" | -| 0.8533 | min_samples_leaf=3, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.8527 | min_samples_leaf=1, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.852 | min_samples_leaf=13, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.852 | min_samples_leaf=5, criterion="gini", n_estimators=160, max_features="log2" | -| 0.8495 | min_samples_leaf=5, criterion="gini", n_estimators=320, max_features="log2" | -| 0.8495 | min_samples_leaf=3, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.8486 | min_samples_leaf=3, criterion="gini", n_estimators=640, max_features="log2" | -| 0.8481 | min_samples_leaf=5, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.847 | min_samples_leaf=3, criterion="gini", n_estimators=320, max_features="log2" | -| 0.8462 | min_samples_leaf=1, criterion="gini", n_estimators=320, max_features="log2" | -| 0.8459 | min_samples_leaf=7, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.8452 | min_samples_leaf=1, criterion="gini", n_estimators=640, max_features="log2" | -| 0.8442 | min_samples_leaf=7, criterion="gini", n_estimators=80, max_features="log2" | -| 0.8431 | min_samples_leaf=13, criterion="gini", n_estimators=40, max_features="log2" | -| 0.8401 | min_samples_leaf=3, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.8387 | min_samples_leaf=3, criterion="gini", n_estimators=160, max_features="log2" | -| 0.838 | min_samples_leaf=1, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.8378 | min_samples_leaf=13, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.8376 | min_samples_leaf=5, criterion="gini", n_estimators=80, max_features="log2" | -| 0.837 | min_samples_leaf=7, criterion="gini", n_estimators=40, max_features="log2" | -| 0.8358 | min_samples_leaf=7, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.8352 | min_samples_leaf=3, criterion="gini", n_estimators=80, max_features="log2" | -| 0.8327 | min_samples_leaf=5, criterion="gini", n_estimators=40, max_features="log2" | -| 0.8311 | min_samples_leaf=1, criterion="gini", n_estimators=160, max_features="log2" | -| 0.8298 | min_samples_leaf=7, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.8216 | min_samples_leaf=13, criterion="gini", n_estimators=20, max_features="log2" | -| 0.8213 | min_samples_leaf=3, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.8208 | min_samples_leaf=1, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.8195 | min_samples_leaf=13, criterion="gini", n_estimators=10, max_features="log2" | -| 0.8188 | min_samples_leaf=3, criterion="gini", n_estimators=40, max_features="log2" | -| 0.8172 | min_samples_leaf=5, criterion="gini", n_estimators=20, max_features="log2" | -| 0.8156 | min_samples_leaf=3, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.8152 | min_samples_leaf=7, criterion="gini", n_estimators=20, max_features="log2" | -| 0.8102 | min_samples_leaf=13, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.8097 | min_samples_leaf=7, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.8066 | min_samples_leaf=5, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.8015 | min_samples_leaf=1, criterion="gini", n_estimators=80, max_features="log2" | -| 0.7995 | min_samples_leaf=1, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.7956 | min_samples_leaf=3, criterion="gini", n_estimators=20, max_features="log2" | -| 0.7917 | min_samples_leaf=3, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.7913 | min_samples_leaf=7, criterion="gini", n_estimators=10, max_features="log2" | -| 0.7893 | min_samples_leaf=5, criterion="gini", n_estimators=10, max_features="log2" | -| 0.7889 | min_samples_leaf=5, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.7887 | min_samples_leaf=1, criterion="gini", n_estimators=40, max_features="log2" | -| 0.781 | min_samples_leaf=1, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.7784 | min_samples_leaf=3, criterion="gini", n_estimators=10, max_features="log2" | -| 0.7526 | min_samples_leaf=1, criterion="gini", n_estimators=20, max_features="log2" | -| 0.7431 | min_samples_leaf=1, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.7096 | min_samples_leaf=1, criterion="gini", n_estimators=10, max_features="log2" | -| 0.6946 | min_samples_leaf=1, criterion="entropy", n_estimators=10, max_features="log2" | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.7972 | | - -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9401 | | - diff --git a/tuning_reports/zhwiki.goodfaith.md b/tuning_reports/zhwiki.goodfaith.md deleted file mode 100644 index 1c2caf61..00000000 --- a/tuning_reports/zhwiki.goodfaith.md +++ /dev/null @@ -1,442 +0,0 @@ -# Model tuning report -- Revscoring version: 2.4.0 -- Features: editquality.feature_lists.zhwiki.goodfaith -- Date: 2019-05-31T02:02:43.067487 -- Observations: 68910 -- Labels: [true, false] -- Statistic: roc_auc.labels.false (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------|-----------------------:|:-------------------------------------------------------------------------------------------| -| GaussianNB | 0.9527 | | -| GradientBoosting | 0.894 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| GradientBoosting | 0.8937 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| GradientBoosting | 0.8925 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| GradientBoosting | 0.8924 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| GradientBoosting | 0.8924 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| GradientBoosting | 0.8922 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| GradientBoosting | 0.8922 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| GradientBoosting | 0.8922 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| GradientBoosting | 0.892 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=700 | - -# Models -## GaussianNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.9527 | | - -## BernoulliNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.83 | | - -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.894 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8937 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.8925 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.8924 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.8924 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8922 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8922 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8922 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.892 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.8918 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8917 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8915 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8914 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.891 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.8909 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.8909 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.8909 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8908 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.8908 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.8908 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.8908 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8906 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.8904 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8904 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.8901 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.89 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.89 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.89 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.8898 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.8898 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8896 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.8895 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.8895 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8893 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8892 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.8892 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8891 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.8891 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.8887 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8886 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8885 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8884 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8882 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.888 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.8879 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8878 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.8877 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8877 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8877 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8877 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.8875 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.8874 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8871 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.887 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.887 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.887 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8868 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8865 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8864 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8863 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.8862 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8862 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8861 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8861 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8861 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.8859 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8856 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.8856 | learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8856 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8854 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8851 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8846 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8846 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.8842 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8842 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8841 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.884 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.8835 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.8833 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.883 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.8829 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8828 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.8827 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8826 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8826 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8826 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.8824 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.882 | learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.882 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.8818 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.8814 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.8814 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8811 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8807 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.8807 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8807 | learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8803 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8792 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8791 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8781 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8777 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8771 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.877 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.8768 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.8765 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.8765 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8764 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.8764 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8759 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.8758 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8756 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8756 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8754 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8746 | learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.8746 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.8736 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8731 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.873 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.8726 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.8723 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.8721 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.8715 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.8715 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8715 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8715 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8715 | learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8712 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.871 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8706 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.8703 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8699 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.8697 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8694 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.8683 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.8668 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8666 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8661 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.865 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.8647 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8646 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.863 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8622 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.862 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.8615 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8602 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8599 | learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.8591 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.859 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.8569 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.8566 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.8565 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8546 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8531 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.8482 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8444 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.8414 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8395 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8383 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.8345 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.8328 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.8311 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.8306 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.8294 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8272 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.8218 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.8123 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.8049 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.803 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.8019 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.8016 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.7994 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.7993 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.7966 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.7962 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.7953 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.7941 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.7884 | learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.7879 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.7835 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.782 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.7778 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.7709 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.7705 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.77 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.7686 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.7673 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.7631 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.7623 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.7607 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.7606 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.7566 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.7564 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.7563 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.7523 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.7523 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.7511 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.7504 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.749 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.7486 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.7476 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.7472 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.7419 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.7416 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.7409 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.7385 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.7352 | learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.7352 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.7306 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.7295 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.7279 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.7278 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.7243 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.7223 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.7219 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.7186 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.7181 | learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.7131 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.7071 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.7047 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.7042 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.7009 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.6932 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.6876 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.6875 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.6834 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.6817 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.6763 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.6761 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.6733 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.672 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.6713 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.6712 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.6702 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.6692 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.6676 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.6664 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.6658 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.6644 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.6629 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.6626 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.6623 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.6616 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.6614 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.6601 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=100 | -| 0.6583 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.6577 | learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.6568 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.6565 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.656 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.6535 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.6524 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.6521 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.6513 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.6502 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.6483 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.6472 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.6464 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.6456 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.6437 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.6407 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.6326 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.6317 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.6314 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.6309 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.6294 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.6288 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.6274 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.6263 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.626 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.6232 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.6229 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.6226 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.6218 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.6217 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.6191 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.6186 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.6149 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.6118 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.6116 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.6096 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.6065 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.6059 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.6057 | learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.6057 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.605 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.6044 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.6031 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.6019 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.6009 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.5998 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.5995 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.5994 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.5983 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7, n_estimators=100 | -| 0.5967 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.5956 | learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.5941 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.5903 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.5901 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1, n_estimators=100 | -| 0.5899 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.5897 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=700 | -| 0.5883 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=300 | -| 0.5881 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=300 | -| 0.5842 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=100 | -| 0.5836 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3, n_estimators=500 | -| 0.5835 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1, n_estimators=300 | -| 0.5829 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=100 | -| 0.581 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1, n_estimators=700 | -| 0.5786 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13, n_estimators=500 | -| 0.577 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.5749 | learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.5736 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7, n_estimators=700 | -| 0.5695 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7, n_estimators=500 | -| 0.5684 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13, n_estimators=700 | -| 0.5676 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.5541 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=300 | -| 0.544 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1, n_estimators=500 | -| 0.5423 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3, n_estimators=300 | -| 0.5295 | learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5, n_estimators=500 | -| 0.489 | learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5, n_estimators=700 | -| 0.4094 | learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5, n_estimators=500 | - -## LogisticRegression -| roc_auc.labels.false | params | -|-----------------------:|:--------------------| -| 0.8674 | penalty="l1", C=1 | -| 0.8672 | penalty="l1", C=0.1 | -| 0.8619 | penalty="l1", C=10 | -| 0.7923 | penalty="l2", C=10 | -| 0.7881 | penalty="l2", C=1 | -| 0.7766 | penalty="l2", C=0.1 | - -## RandomForestClassifier -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------| -| 0.8789 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.8773 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.8759 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.8758 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.8746 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.8741 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.8721 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.8718 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.8711 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.8705 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.8702 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.8699 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.8699 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.8692 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.8685 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.8676 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.8667 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.8665 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.8663 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.8657 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.8641 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.8636 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.8619 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.861 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.861 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.8603 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.8589 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.8589 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.8579 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.8577 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.8555 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.8546 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.8539 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.8536 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.8505 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.8491 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.8487 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.8465 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.841 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.8406 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8404 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.8399 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.8391 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.8386 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.838 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.8372 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.8354 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8345 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.8338 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.8324 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.832 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.8315 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8283 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8258 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8236 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.8219 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8153 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8138 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8127 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8114 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8096 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8087 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8085 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8064 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.7917 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.7909 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.7582 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.7483 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.7151 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.7109 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | - From 2eb91643755d879b7b208f2619c201ab0e38bf76 Mon Sep 17 00:00:00 2001 From: Pavol86 Date: Sun, 7 Feb 2021 22:56:24 +0000 Subject: [PATCH 09/10] update --- tuning_reports/zhwiki.damaging.md | 439 +++++++++++++++++++++++++++++ tuning_reports/zhwiki.goodfaith.md | 439 +++++++++++++++++++++++++++++ 2 files changed, 878 insertions(+) create mode 100644 tuning_reports/zhwiki.goodfaith.md diff --git a/tuning_reports/zhwiki.damaging.md b/tuning_reports/zhwiki.damaging.md index e69de29b..374fbc64 100644 --- a/tuning_reports/zhwiki.damaging.md +++ b/tuning_reports/zhwiki.damaging.md @@ -0,0 +1,439 @@ +# Model tuning report +- Revscoring version: 2.9.3 +- Features: editquality.feature_lists.zhwiki.damaging +- Date: 2021-02-04T15:18:18.904032 +- Observations: 68760 +- Labels: [true, false] +- Statistic: roc_auc.labels.true (maximize) +- Folds: 5 + +# Top scoring configurations +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| +| GaussianNB | 0.9437 | | +| GradientBoosting | 0.878 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=3 | +| GradientBoosting | 0.8776 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| GradientBoosting | 0.8768 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| GradientBoosting | 0.8767 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=1 | +| GradientBoosting | 0.8765 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| GradientBoosting | 0.8761 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| GradientBoosting | 0.876 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=5 | +| GradientBoosting | 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| GradientBoosting | 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=5 | + +# Models +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8207 | C=10, penalty="l2" | +| 0.8196 | C=1, penalty="l2" | +| 0.8188 | C=0.1, penalty="l2" | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9437 | | + +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8109 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.878 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.8776 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.8768 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.8767 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.8765 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.8761 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.876 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.8757 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.8755 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.8755 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.8754 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.8753 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.8753 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.8752 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.8751 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.875 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.8748 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.8748 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.8745 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.8741 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.8741 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.874 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.874 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.8737 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.8736 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.8735 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.8732 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.8732 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.8732 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.873 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.8726 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.8723 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.8722 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.872 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.8717 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, 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learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.79 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.7897 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.7837 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.7806 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.7796 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.7784 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.7756 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.774 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.7715 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.7683 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.7682 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.7677 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.7672 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.7656 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.765 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.7635 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.7623 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.7595 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.7566 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.7484 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.7483 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.7469 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.7458 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.7392 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.7349 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.7323 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.7312 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.7262 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.7235 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.723 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.7221 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.7189 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.7163 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.7162 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.7126 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.7115 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.7084 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.7077 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.707 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.707 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.7062 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.7026 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.7021 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.7013 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.6987 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.6968 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.694 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.6939 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.691 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.6886 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.6879 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.6862 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.6805 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.6794 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.6777 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.6775 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.6756 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.6735 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.6729 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.6694 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.668 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.6637 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.6631 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.6608 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.6604 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.6596 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.6586 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.6585 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.6584 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.6512 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.649 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.6467 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.6459 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.6452 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.6442 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.6439 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.6436 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.6417 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.6415 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.6393 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.6376 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.6356 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.6335 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.6334 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.6327 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.6297 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.6294 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.6284 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.6272 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.6263 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.6259 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.6255 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.6241 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.6239 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.6212 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.6208 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.6196 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.6195 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.6195 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.6189 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.6145 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.6104 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.6099 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.6097 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.608 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.6069 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.6061 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.6013 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.5981 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.5965 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.596 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.5878 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.5878 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.5858 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.5829 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.5815 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.5805 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.5803 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.5795 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.5791 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.5789 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.5788 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.5783 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.5765 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.5761 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.5757 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.5754 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.5751 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.5731 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.5728 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.5708 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.5681 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.5609 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.5584 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.5574 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.5485 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.5483 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.5437 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.5222 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.494 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=5 | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.8716 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | +| 0.8701 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=640 | +| 0.8686 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | +| 0.8668 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | +| 0.8668 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | +| 0.8663 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | +| 0.8662 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=640 | +| 0.8658 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | +| 0.8628 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | +| 0.8628 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | +| 0.8618 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | +| 0.8614 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | +| 0.8607 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | +| 0.8605 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=640 | +| 0.8603 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=640 | +| 0.8598 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=640 | +| 0.8577 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=640 | +| 0.856 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | +| 0.8549 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | +| 0.8547 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | +| 0.854 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | +| 0.8527 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | +| 0.8525 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | +| 0.8523 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | +| 0.8513 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | +| 0.8505 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | +| 0.8494 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | +| 0.8493 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | +| 0.8482 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | +| 0.8478 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | +| 0.8471 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | +| 0.8457 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | +| 0.8449 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | +| 0.8446 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=640 | +| 0.8442 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | +| 0.8441 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=640 | +| 0.8437 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | +| 0.8429 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | +| 0.8422 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | +| 0.8403 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | +| 0.836 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | +| 0.8343 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | +| 0.8334 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | +| 0.8325 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | +| 0.8286 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | +| 0.8283 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | +| 0.8274 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | +| 0.8258 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | +| 0.8212 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | +| 0.8205 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | +| 0.8203 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | +| 0.8187 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | +| 0.8172 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | +| 0.8117 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | +| 0.8117 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | +| 0.8103 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | +| 0.8081 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | +| 0.8069 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | +| 0.8057 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | +| 0.8052 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | +| 0.8027 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | +| 0.7994 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | +| 0.7978 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | +| 0.7976 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | +| 0.791 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | +| 0.7865 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | +| 0.7635 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | +| 0.7483 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | +| 0.7138 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | +| 0.7037 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | + diff --git a/tuning_reports/zhwiki.goodfaith.md b/tuning_reports/zhwiki.goodfaith.md new file mode 100644 index 00000000..1d4510f3 --- /dev/null +++ b/tuning_reports/zhwiki.goodfaith.md @@ -0,0 +1,439 @@ +# Model tuning report +- Revscoring version: 2.9.3 +- Features: editquality.feature_lists.zhwiki.goodfaith +- Date: 2021-02-04T17:06:10.143683 +- Observations: 68760 +- Labels: [true, false] +- Statistic: roc_auc.labels.false (maximize) +- Folds: 5 + +# Top scoring configurations +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:-------------------------------------------------------------------------------------------| +| GaussianNB | 0.94 | | +| GradientBoosting | 0.9073 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | +| GradientBoosting | 0.9068 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | +| GradientBoosting | 0.9067 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | +| GradientBoosting | 0.9065 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | +| GradientBoosting | 0.9063 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| GradientBoosting | 0.9063 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | +| GradientBoosting | 0.9056 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | +| GradientBoosting | 0.9055 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | +| GradientBoosting | 0.9052 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | + +# Models +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.857 | C=0.1, penalty="l2" | +| 0.8552 | C=1, penalty="l2" | +| 0.855 | C=10, penalty="l2" | + +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8419 | | + +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.94 | | + +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9073 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9068 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9067 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9065 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.9063 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9063 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9056 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9055 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9052 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.9051 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.9051 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9049 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.9046 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9046 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.9046 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.9045 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9044 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9042 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9041 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.904 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9037 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.9036 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9036 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.9034 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.9031 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.9029 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.9026 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.9018 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.9015 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.9013 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.901 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.901 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.9009 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.9008 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9007 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.9005 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.9003 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9002 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.9002 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.9 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8999 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8998 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8996 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8995 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8992 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8992 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8991 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8991 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8991 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.899 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8987 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8987 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8984 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8983 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8979 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8975 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8974 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8973 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8971 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.897 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8968 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8967 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8967 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8966 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8966 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8964 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8963 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8962 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.8962 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8953 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8951 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8948 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8948 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8948 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8948 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8943 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8943 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.894 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.8938 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8936 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8936 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8936 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8935 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8934 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8934 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8932 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.8932 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8932 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.893 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8928 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8923 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8921 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.892 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8916 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8916 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8914 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8913 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8913 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8913 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8913 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8912 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8912 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8907 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8905 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8904 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8904 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8897 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8897 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8896 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8896 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8895 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8894 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8892 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.8892 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8891 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.889 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8889 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8888 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8888 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8887 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8873 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.887 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8869 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8862 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8858 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.8851 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.8846 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8823 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8823 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8818 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8817 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8807 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8804 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8797 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.879 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8788 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8771 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.876 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.8729 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8722 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8704 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8704 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8688 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8668 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8661 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8659 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8658 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8655 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8649 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8598 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8563 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8533 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8385 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8358 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8305 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8262 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8262 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.826 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8246 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8205 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8194 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8141 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8141 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8121 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8114 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8113 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8075 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8051 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8038 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8037 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.7922 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7854 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7813 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.7806 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.7764 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.7746 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.7741 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.7726 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.7695 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.7667 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.7578 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.7572 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.7541 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.7509 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.7498 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.7458 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.7449 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.7436 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.7419 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.7404 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.739 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7354 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.7354 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7349 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.7348 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.7321 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.7291 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.727 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.7262 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7232 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7225 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.722 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.7208 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.7168 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.715 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.7142 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.7138 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.7101 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.7032 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.7032 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.7024 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7012 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.6951 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.6904 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.6899 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.6849 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.6815 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.6813 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.6779 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.6769 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.6765 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.6762 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.6761 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.6758 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.675 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.6734 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.6732 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.673 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.6682 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.6676 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.666 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.6648 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.6646 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.6617 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.66 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.659 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.6586 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.6575 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.6569 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.6564 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.6552 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.6531 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.6527 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.6521 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.6514 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.6509 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.6485 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.6459 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.6455 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.6454 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.6447 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.6405 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.6402 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.6395 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.6393 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.6384 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.6374 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.6374 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.6349 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.6342 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.6338 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.6319 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.6299 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.6253 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.6247 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.6246 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.6235 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.6201 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.6192 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.6181 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.6172 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.6168 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.6167 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.6152 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.615 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.6144 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.6121 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.6117 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.6113 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.6105 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.6104 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.6095 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.609 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.6085 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.6083 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.608 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.6077 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.607 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.6066 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.6044 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.6038 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.6022 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.6019 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.6017 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.6015 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.597 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.5969 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.5897 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.5872 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.5867 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.5834 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.5822 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.582 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.5817 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.5811 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.5793 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.5785 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.5767 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.575 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.5681 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.561 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.5551 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.5508 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.5499 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.5457 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.5334 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.5308 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.5208 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.5206 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.5108 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | + +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.8872 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.8858 | criterion="entropy", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.8855 | criterion="entropy", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.8855 | criterion="entropy", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.8804 | criterion="gini", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.8802 | criterion="entropy", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.8787 | criterion="gini", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.8786 | criterion="entropy", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.8786 | criterion="gini", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.8778 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.8776 | criterion="entropy", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.8756 | criterion="entropy", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.8755 | criterion="entropy", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.8748 | criterion="gini", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.872 | criterion="gini", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.8715 | criterion="gini", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.8715 | criterion="entropy", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.8713 | criterion="entropy", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.8711 | criterion="entropy", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.8706 | criterion="gini", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.8704 | criterion="entropy", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.869 | criterion="gini", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.8686 | criterion="gini", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.868 | criterion="entropy", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.8679 | criterion="gini", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.8678 | criterion="gini", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.8663 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.8655 | criterion="gini", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.8651 | criterion="entropy", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.863 | criterion="gini", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.8611 | criterion="gini", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.8604 | criterion="entropy", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.8593 | criterion="entropy", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.8574 | criterion="entropy", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.8569 | criterion="gini", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.856 | criterion="entropy", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.8551 | criterion="entropy", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.8542 | criterion="gini", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.8535 | criterion="gini", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.8534 | criterion="gini", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.8527 | criterion="gini", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.8504 | criterion="gini", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.8436 | criterion="gini", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.8429 | criterion="entropy", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.8416 | criterion="gini", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.8411 | criterion="gini", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.8404 | criterion="entropy", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.8377 | criterion="gini", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.8377 | criterion="entropy", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.8363 | criterion="gini", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.8324 | criterion="entropy", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.8312 | criterion="entropy", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.8298 | criterion="gini", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.8284 | criterion="entropy", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.8277 | criterion="gini", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.8265 | criterion="gini", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.8225 | criterion="gini", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.8216 | criterion="gini", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.8177 | criterion="entropy", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.8128 | criterion="gini", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.8117 | criterion="gini", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.8088 | criterion="entropy", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.8076 | criterion="entropy", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.806 | criterion="entropy", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.7992 | criterion="entropy", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.7815 | criterion="gini", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.7709 | criterion="gini", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.7466 | criterion="entropy", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.7189 | criterion="gini", n_estimators=10, min_samples_leaf=1, max_features="log2" | +| 0.7027 | criterion="entropy", n_estimators=10, min_samples_leaf=1, max_features="log2" | + From 7892c8bd025f59ad03eed1a57a46928f81d67a74 Mon Sep 17 00:00:00 2001 From: Pavol86 Date: Sat, 13 Feb 2021 18:40:00 +0000 Subject: [PATCH 10/10] update --- Makefile | 3993 ++++++++++++++++- config/wikis/jawiki.yaml | 2 +- config/wikis/kowiki.yaml | 10 +- config/wikis/zhwiki.yaml | 16 +- editquality/feature_lists/jawiki.py | 5 +- editquality/feature_lists/kowiki.py | 5 +- editquality/feature_lists/wikitext.py | 30 +- editquality/feature_lists/zhwiki.py | 5 +- model_info/jawiki.damaging.md | 44 +- model_info/jawiki.goodfaith.md | 20 +- model_info/kowiki.damaging.md | 52 +- model_info/kowiki.goodfaith.md | 56 +- model_info/zhwiki.damaging.md | 52 +- model_info/zhwiki.goodfaith.md | 50 +- .../jawiki.damaging.gradient_boosting.model | 4 +- .../jawiki.goodfaith.gradient_boosting.model | 4 +- .../kowiki.damaging.gradient_boosting.model | 4 +- .../kowiki.goodfaith.gradient_boosting.model | 4 +- .../zhwiki.damaging.gradient_boosting.model | 4 +- .../zhwiki.goodfaith.gradient_boosting.model | 4 +- tuning_reports/fawiki.damaging.md | 439 ++ tuning_reports/fawiki.goodfaith.md | 576 ++- tuning_reports/fiwiki.damaging.md | 583 ++- tuning_reports/fiwiki.goodfaith.md | 583 ++- tuning_reports/frwiki.damaging.md | 574 ++- tuning_reports/frwiki.goodfaith.md | 586 ++- tuning_reports/glwiki.reverted.md | 837 ++-- tuning_reports/hewiki.damaging.md | 580 ++- tuning_reports/hewiki.goodfaith.md | 584 ++- tuning_reports/hrwiki.reverted.md | 562 ++- tuning_reports/huwiki.damaging.md | 839 ++-- tuning_reports/huwiki.goodfaith.md | 839 ++-- tuning_reports/idwiki.reverted.md | 542 ++- tuning_reports/iswiki.reverted.md | 576 ++- tuning_reports/itwiki.damaging.md | 583 ++- tuning_reports/itwiki.goodfaith.md | 597 ++- tuning_reports/jawiki.damaging.md | 836 ++-- tuning_reports/jawiki.goodfaith.md | 834 ++-- tuning_reports/kowiki.damaging.md | 828 ++-- tuning_reports/kowiki.goodfaith.md | 826 ++-- tuning_reports/lvwiki.damaging.md | 588 ++- tuning_reports/lvwiki.goodfaith.md | 596 ++- tuning_reports/nlwiki.damaging.md | 583 ++- tuning_reports/nlwiki.goodfaith.md | 587 ++- tuning_reports/nowiki.damaging.md | 831 ++-- tuning_reports/nowiki.goodfaith.md | 832 ++-- tuning_reports/plwiki.damaging.md | 578 ++- tuning_reports/plwiki.goodfaith.md | 572 ++- tuning_reports/ptwiki.damaging.md | 573 ++- tuning_reports/ptwiki.goodfaith.md | 584 ++- tuning_reports/rowiki.damaging.md | 571 ++- tuning_reports/rowiki.goodfaith.md | 584 ++- tuning_reports/ruwiki.damaging.md | 572 ++- tuning_reports/ruwiki.goodfaith.md | 586 ++- tuning_reports/sqwiki.damaging.md | 578 ++- tuning_reports/sqwiki.goodfaith.md | 586 ++- tuning_reports/srwiki.damaging.md | 579 ++- tuning_reports/srwiki.goodfaith.md | 582 ++- tuning_reports/svwiki.damaging.md | 556 ++- tuning_reports/svwiki.goodfaith.md | 574 ++- tuning_reports/tawiki.reverted.md | 572 ++- tuning_reports/translatewiki.reverted.md | 186 - tuning_reports/trwiki.damaging.md | 175 - tuning_reports/trwiki.goodfaith.md | 175 - tuning_reports/ukwiki.damaging.md | 442 -- tuning_reports/ukwiki.goodfaith.md | 442 -- tuning_reports/ukwiki.reverted.md | 175 - tuning_reports/viwiki.reverted.md | 145 - tuning_reports/wikidatawiki.damaging.md | 186 - tuning_reports/wikidatawiki.goodfaith.md | 186 - tuning_reports/zhwiki.damaging.md | 828 ++-- tuning_reports/zhwiki.goodfaith.md | 818 ++-- 72 files changed, 22106 insertions(+), 11884 deletions(-) create mode 100644 tuning_reports/fawiki.damaging.md delete mode 100644 tuning_reports/translatewiki.reverted.md delete mode 100644 tuning_reports/trwiki.damaging.md delete mode 100644 tuning_reports/trwiki.goodfaith.md delete mode 100644 tuning_reports/ukwiki.damaging.md delete mode 100644 tuning_reports/ukwiki.goodfaith.md delete mode 100644 tuning_reports/ukwiki.reverted.md delete mode 100644 tuning_reports/viwiki.reverted.md delete mode 100644 tuning_reports/wikidatawiki.damaging.md delete mode 100644 tuning_reports/wikidatawiki.goodfaith.md diff --git a/Makefile b/Makefile index 90c4af81..eba7c6ad 100644 --- a/Makefile +++ b/Makefile @@ -4,14 +4,104 @@ # Remove target files after command failure. .DELETE_ON_ERROR: -#models: \ -# jawiki_models \ -# kowiki_models \ -# zhwiki_models +models: \ + arwiki_models \ + azwiki_models \ + bawiki_models \ + bnwiki_models \ + bnwikisource_models \ + bswiki_models \ + cawiki_models \ + cswiki_models \ + dewiki_models \ + elwiki_models \ + enwiki_models \ + enwiktionary_models \ + eswiki_models \ + eswikibooks_models \ + eswikiquote_models \ + eswikiversity_models \ + etwiki_models \ + fawiki_models \ + fiwiki_models \ + frwiki_models \ + glwiki_models \ + hewiki_models \ + hiwiki_models \ + hrwiki_models \ + huwiki_models \ + idwiki_models \ + iswiki_models \ + itwiki_models \ + jawiki_models \ + kowiki_models \ + lvwiki_models \ + nlwiki_models \ + nowiki_models \ + plwiki_models \ + ptwiki_models \ + rowiki_models \ + ruwiki_models \ + sqwiki_models \ + srwiki_models \ + svwiki_models \ + tawiki_models \ +# translatewiki_models \ + trwiki_models \ + ukwiki_models \ + urwiki_models \ + viwiki_models \ + wikidatawiki_models \ + zhwiki_models tuning_reports: \ + arwiki_tuning_reports \ + azwiki_tuning_reports \ + bawiki_tuning_reports \ + bnwiki_tuning_reports \ + bnwikisource_tuning_reports \ + bswiki_tuning_reports \ + cawiki_tuning_reports \ + cswiki_tuning_reports \ + dewiki_tuning_reports \ + elwiki_tuning_reports \ + enwiki_tuning_reports \ + enwiktionary_tuning_reports \ + eswiki_tuning_reports \ + eswikibooks_tuning_reports \ + eswikiquote_tuning_reports \ + eswikiversity_tuning_reports \ + etwiki_tuning_reports \ + fawiki_tuning_reports \ + fiwiki_tuning_reports \ + frwiki_tuning_reports \ + glwiki_tuning_reports \ + hewiki_tuning_reports \ + hiwiki_tuning_reports \ + hrwiki_tuning_reports \ + huwiki_tuning_reports \ + idwiki_tuning_reports \ + iswiki_tuning_reports \ + itwiki_tuning_reports \ jawiki_tuning_reports \ kowiki_tuning_reports \ + lvwiki_tuning_reports \ + nlwiki_tuning_reports \ + nowiki_tuning_reports \ + plwiki_tuning_reports \ + ptwiki_tuning_reports \ + rowiki_tuning_reports \ + ruwiki_tuning_reports \ + sqwiki_tuning_reports \ + srwiki_tuning_reports \ + svwiki_tuning_reports \ + tawiki_tuning_reports \ +# translatewiki_tuning_reports \ + trwiki_tuning_reports \ + ukwiki_tuning_reports \ + urwiki_tuning_reports \ + viwiki_tuning_reports \ + wikidatawiki_tuning_reports \ zhwiki_tuning_reports touch: @@ -20,226 +110,3896 @@ touch: include Makefile.manual + + +############################# Arabic Wikipedia ################################ +datasets/arwiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/arwiki/30/ > $@ + +datasets/arwiki.sampled_revisions.20k_2016.json: + wget -qO- http://quarry.wmflabs.org/run/65713/output/0/json-lines?download=true > $@ + +datasets/arwiki.autolabeled_revisions.20k_2016.json: \ + datasets/arwiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://ar.wikipedia.org \ + --trusted-groups=sysop,oversight,editor,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/arwiki.revisions_for_review.5k_2016.json: \ + datasets/arwiki.autolabeled_revisions.20k_2016.json + ( \ + cat datasets/arwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/arwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/arwiki.labeled_revisions.20k_2016.json: \ + datasets/arwiki.human_labeled_revisions.5k_2016.json \ + datasets/arwiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/arwiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/arwiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.arwiki.damaging \ + editquality.feature_lists.arwiki.goodfaith \ + --host https://ar.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/arwiki.damaging.md: \ + datasets/arwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.arwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.021427" \ + --pop-rate "false=0.978573" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/arwiki.damaging.gradient_boosting.model: \ + datasets/arwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.arwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=100' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.021427" \ + --pop-rate "false=0.978573" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/arwiki.damaging.md + +tuning_reports/arwiki.goodfaith.md: \ + datasets/arwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.arwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.993861" \ + --pop-rate "false=0.0061390000000000056" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/arwiki.goodfaith.gradient_boosting.model: \ + datasets/arwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.arwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.5' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.993861" \ + --pop-rate "false=0.0061390000000000056" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/arwiki.goodfaith.md + +arwiki_models: \ + models/arwiki.damaging.gradient_boosting.model \ + models/arwiki.goodfaith.gradient_boosting.model + +arwiki_tuning_reports: \ + tuning_reports/arwiki.damaging.md \ + tuning_reports/arwiki.goodfaith.md + + +############################# Azeri Wikipedia ################################ +datasets/azwiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/99533/output/0/json-lines?download=true > $@ + +datasets/azwiki.autolabeled_revisions.20k_2016.json: \ + datasets/azwiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://az.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +azwiki_models: + +azwiki_tuning_reports: + +############################# Bashkir Wikipedia ################################ +# From https://quarry.wmflabs.org/query/24777 +datasets/bawiki.sampled_revisions.60k_2018.json: + wget -qO- https://quarry.wmflabs.org/run/236209/output/0/json-lines?download=true > $@ + +datasets/bawiki.autolabeled_revisions.60k_2018.json: \ + datasets/bawiki.sampled_revisions.60k_2018.json + cat $< | \ + ./utility autolabel --host=https://ba.wikipedia.org \ + --trusted-groups=bot,sysop,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +bawiki_models: + +bawiki_tuning_reports: + +############################# Bengali Wikipedia ################################ +# From https://quarry.wmflabs.org/query/20229 +datasets/bnwiki.sampled_revisions.20k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/190661/output/0/json-lines?download=true > $@ + +datasets/bnwiki.autolabeled_revisions.20k_2017.json: \ + datasets/bnwiki.sampled_revisions.20k_2017.json + cat $< | \ + ./utility autolabel --host=https://bn.wikipedia.org \ + --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/bnwiki.autolabeled_revisions.w_cache.20k_2017.json: \ + datasets/bnwiki.autolabeled_revisions.20k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.bnwiki.reverted \ + --host https://bn.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/bnwiki.reverted.md: \ + datasets/bnwiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.bnwiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.021554310862" \ + --pop-rate "false=0.978445689138" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/bnwiki.reverted.gradient_boosting.model: \ + datasets/bnwiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.bnwiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.021554310862" \ + --pop-rate "false=0.978445689138" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/bnwiki.reverted.md + +bnwiki_models: \ + models/bnwiki.reverted.gradient_boosting.model + +bnwiki_tuning_reports: \ + tuning_reports/bnwiki.reverted.md + + +############################# Bengali Wikisource ################################ +# From https://quarry.wmflabs.org/query/24776 +datasets/bnwikisource.sampled_revisions.200k_2018.json: + wget -qO- https://quarry.wmflabs.org/run/236208/output/0/json-lines?download=true > $@ + +datasets/bnwikisource.autolabeled_revisions.200k_2018.json: \ + datasets/bnwikisource.sampled_revisions.200k_2018.json + cat $< | \ + ./utility autolabel --host=https://bn.wikisource.org \ + --trusted-groups=bot,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +bnwikisource_models: + +bnwikisource_tuning_reports: + +############################# Bosnian Wikipedia ################################ +datasets/bswiki.human_labeled_revisions.5k_2018.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/bswiki/78/ > $@ + +# From https://quarry.wmflabs.org/query/26936 +datasets/bswiki.sampled_revisions.40k_2018.json: + wget -qO- https://quarry.wmflabs.org/run/261117/output/0/json-lines?download=true > $@ + +datasets/bswiki.autolabeled_revisions.40k_2018.json: \ + datasets/bswiki.sampled_revisions.40k_2018.json + cat $< | \ + ./utility autolabel --host=https://bs.wikipedia.org \ + --trusted-groups=bot,sysop,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/bswiki.labeled_revisions.40k_2018.json: \ + datasets/bswiki.human_labeled_revisions.5k_2018.json \ + datasets/bswiki.autolabeled_revisions.40k_2018.json + ./utility merge_labels $^ > $@ + +datasets/bswiki.labeled_revisions.w_cache.40k_2018.json: \ + datasets/bswiki.labeled_revisions.40k_2018.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.bswiki.damaging \ + editquality.feature_lists.bswiki.goodfaith \ + --host https://bs.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/bswiki.damaging.md: \ + datasets/bswiki.labeled_revisions.w_cache.40k_2018.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.bswiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.028101164191087918" \ + --pop-rate "false=0.9718988358089121" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/bswiki.damaging.rf.model: \ + datasets/bswiki.labeled_revisions.w_cache.40k_2018.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.RandomForest \ + editquality.feature_lists.bswiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'criterion="entropy"' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=7' \ + -p 'n_estimators=320' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.028101164191087918" \ + --pop-rate "false=0.9718988358089121" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/bswiki.damaging.md + +tuning_reports/bswiki.goodfaith.md: \ + datasets/bswiki.labeled_revisions.w_cache.40k_2018.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.bswiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9774939783219591" \ + --pop-rate "false=0.022506021678040944" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/bswiki.goodfaith.gradient_boosting.model: \ + datasets/bswiki.labeled_revisions.w_cache.40k_2018.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.bswiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.5' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9774939783219591" \ + --pop-rate "false=0.022506021678040944" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/bswiki.goodfaith.md + +bswiki_models: \ + models/bswiki.damaging.rf.model \ + models/bswiki.goodfaith.gradient_boosting.model + +bswiki_tuning_reports: \ + tuning_reports/bswiki.damaging.md \ + tuning_reports/bswiki.goodfaith.md + + +############################# Catalan Wikipedia ################################ +datasets/cawiki.human_labeled_revisions.5k_2017.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/cawiki/68/ > $@ + +# From https://quarry.wmflabs.org/query/24913 +datasets/cawiki.sampled_revisions.40k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/237545/output/0/json-lines?download=true > $@ + +datasets/cawiki.autolabeled_revisions.40k_2017.json: \ + datasets/cawiki.sampled_revisions.40k_2017.json + cat $< | \ + ./utility autolabel --host=https://ca.wikipedia.org \ + --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/cawiki.labeled_revisions.40k_2017.json: \ + datasets/cawiki.human_labeled_revisions.5k_2017.json \ + datasets/cawiki.autolabeled_revisions.40k_2017.json + ./utility merge_labels $^ > $@ + +datasets/cawiki.labeled_revisions.w_cache.40k_2017.json: \ + datasets/cawiki.labeled_revisions.40k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.cawiki.damaging \ + editquality.feature_lists.cawiki.goodfaith \ + --host https://ca.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/cawiki.damaging.md: \ + datasets/cawiki.labeled_revisions.w_cache.40k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.cawiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.019000475011875295" \ + --pop-rate "false=0.9809995249881247" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/cawiki.damaging.gradient_boosting.model: \ + datasets/cawiki.labeled_revisions.w_cache.40k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.cawiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=13' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.019000475011875295" \ + --pop-rate "false=0.9809995249881247" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/cawiki.damaging.md + +tuning_reports/cawiki.goodfaith.md: \ + datasets/cawiki.labeled_revisions.w_cache.40k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.cawiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9854996374909373" \ + --pop-rate "false=0.014500362509062725" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/cawiki.goodfaith.gradient_boosting.model: \ + datasets/cawiki.labeled_revisions.w_cache.40k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.cawiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=3' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9854996374909373" \ + --pop-rate "false=0.014500362509062725" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/cawiki.goodfaith.md + +cawiki_models: \ + models/cawiki.damaging.gradient_boosting.model \ + models/cawiki.goodfaith.gradient_boosting.model + +cawiki_tuning_reports: \ + tuning_reports/cawiki.damaging.md \ + tuning_reports/cawiki.goodfaith.md + + +############################# Czech Wikipedia ################################ +datasets/cswiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/cswiki/44/ > $@ + +datasets/cswiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/97125/output/0/json-lines?download=true > $@ + +datasets/cswiki.autolabeled_revisions.20k_2016.json: \ + datasets/cswiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://cs.wikipedia.org \ + --trusted-groups=sysop,oversight,editor,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/cswiki.revisions_for_review.5k_2016.json: \ + datasets/cswiki.autolabeled_revisions.20k_2016.json + ( \ + cat datasets/cswiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/cswiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/cswiki.labeled_revisions.20k_2016.json: \ + datasets/cswiki.human_labeled_revisions.5k_2016.json \ + datasets/cswiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/cswiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/cswiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.cswiki.damaging \ + editquality.feature_lists.cswiki.goodfaith \ + --host https://cs.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/cswiki.damaging.md: \ + datasets/cswiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.cswiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0445968266680014" \ + --pop-rate "false=0.9554031733319986" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/cswiki.damaging.gradient_boosting.model: \ + datasets/cswiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.cswiki.damaging \ + damaging \ + --version=0.6.0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0445968266680014" \ + --pop-rate "false=0.9554031733319986" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/cswiki.damaging.md + +tuning_reports/cswiki.goodfaith.md: \ + datasets/cswiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.cswiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.977526402722859" \ + --pop-rate "false=0.022473597277141044" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/cswiki.goodfaith.gradient_boosting.model: \ + datasets/cswiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.cswiki.goodfaith \ + goodfaith \ + --version=0.6.0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.977526402722859" \ + --pop-rate "false=0.022473597277141044" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/cswiki.goodfaith.md + +cswiki_models: \ + models/cswiki.damaging.gradient_boosting.model \ + models/cswiki.goodfaith.gradient_boosting.model + +cswiki_tuning_reports: \ + tuning_reports/cswiki.damaging.md \ + tuning_reports/cswiki.goodfaith.md + + +############################# German Wikipedia ################################ +datasets/dewiki.human_labeled_revisions.5k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/dewiki/16/ > $@ + +datasets/dewiki.sampled_revisions.20k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/42223/output/0/json-lines?download=true > $@ + +datasets/dewiki.autolabeled_revisions.20k_2015.json: \ + datasets/dewiki.sampled_revisions.20k_2015.json + cat $< | \ + ./utility autolabel --host=https://de.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/dewiki.labeled_revisions.20k_2015.json: \ + datasets/dewiki.human_labeled_revisions.5k_2015.json \ + datasets/dewiki.autolabeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/dewiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/dewiki.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.dewiki.damaging \ + editquality.feature_lists.dewiki.goodfaith \ + --host https://de.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/dewiki.damaging.md: \ + datasets/dewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.dewiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.029975955116216937" \ + --pop-rate "false=0.970024044883783" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/dewiki.damaging.gradient_boosting.model: \ + datasets/dewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.dewiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=100' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.029975955116216937" \ + --pop-rate "false=0.970024044883783" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/dewiki.damaging.md + +tuning_reports/dewiki.goodfaith.md: \ + datasets/dewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.dewiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9806572268234037" \ + --pop-rate "false=0.019342773176596273" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/dewiki.goodfaith.gradient_boosting.model: \ + datasets/dewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.dewiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.5' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9806572268234037" \ + --pop-rate "false=0.019342773176596273" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/dewiki.goodfaith.md + +dewiki_models: \ + models/dewiki.damaging.gradient_boosting.model \ + models/dewiki.goodfaith.gradient_boosting.model + +dewiki_tuning_reports: \ + tuning_reports/dewiki.damaging.md \ + tuning_reports/dewiki.goodfaith.md + + +############################# Greek Wikipedia ################################ +# From https://quarry.wmflabs.org/query/20231 +datasets/elwiki.sampled_revisions.20k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/190663/output/0/json-lines?download=true > $@ + +datasets/elwiki.autolabeled_revisions.20k_2017.json: \ + datasets/elwiki.sampled_revisions.20k_2017.json + cat $< | \ + ./utility autolabel --host=https://el.wikipedia.org \ + --trusted-groups=bot,bureaucrat,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/elwiki.autolabeled_revisions.w_cache.20k_2017.json: \ + datasets/elwiki.autolabeled_revisions.20k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.elwiki.reverted \ + --host https://el.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/elwiki.reverted.md: \ + datasets/elwiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.elwiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.05170687756532186" \ + --pop-rate "false=0.9482931224346781" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/elwiki.reverted.gradient_boosting.model: \ + datasets/elwiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.elwiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.05170687756532186" \ + --pop-rate "false=0.9482931224346781" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/elwiki.reverted.md + +elwiki_models: \ + models/elwiki.reverted.gradient_boosting.model + +elwiki_tuning_reports: \ + tuning_reports/elwiki.reverted.md + + +############################# English Wikipedia ################################ +datasets/enwiki.human_labeled_revisions.20k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/enwiki/4/ > $@ + +datasets/enwiki.labeled_revisions.20k_2015.json: \ + datasets/enwiki.human_labeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/enwiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/enwiki.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.enwiki.damaging \ + editquality.feature_lists.enwiki.goodfaith \ + --host https://en.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/enwiki.damaging.md: \ + datasets/enwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.enwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.034163555464634586" \ + --pop-rate "false=0.9658364445353654" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/enwiki.damaging.gradient_boosting.model: \ + datasets/enwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.enwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.034163555464634586" \ + --pop-rate "false=0.9658364445353654" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/enwiki.damaging.md + +tuning_reports/enwiki.goodfaith.md: \ + datasets/enwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.enwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9671661637600368" \ + --pop-rate "false=0.032833836239963166" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/enwiki.goodfaith.gradient_boosting.model: \ + datasets/enwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.enwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9671661637600368" \ + --pop-rate "false=0.032833836239963166" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/enwiki.goodfaith.md + +enwiki_models: \ + models/enwiki.damaging.gradient_boosting.model \ + models/enwiki.goodfaith.gradient_boosting.model + +enwiki_tuning_reports: \ + tuning_reports/enwiki.damaging.md \ + tuning_reports/enwiki.goodfaith.md + + +############################# English Wiktionary ################################ +datasets/enwiktionary.sampled_revisions.92k_2018.json: + wget -qO- https://quarry.wmflabs.org/run/244906/output/0/json-lines?download=true > $@ + +datasets/enwiktionary.autolabeled_revisions.92k_2018.json: \ + datasets/enwiktionary.sampled_revisions.92k_2018.json + cat $< | \ + ./utility autolabel --host=https://en.wiktionary.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/enwiktionary.autolabeled_revisions.w_cache.92k_2018.json: \ + datasets/enwiktionary.autolabeled_revisions.92k_2018.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.enwiktionary.reverted \ + --host https://en.wiktionary.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/enwiktionary.reverted.md: \ + datasets/enwiktionary.autolabeled_revisions.w_cache.92k_2018.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.enwiktionary.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.004778273117085203" \ + --pop-rate "false=0.9952217268829148" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/enwiktionary.reverted.rf.model: \ + datasets/enwiktionary.autolabeled_revisions.w_cache.92k_2018.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.RandomForest \ + editquality.feature_lists.enwiktionary.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'criterion="entropy"' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=3' \ + -p 'n_estimators=320' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.004778273117085203" \ + --pop-rate "false=0.9952217268829148" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/enwiktionary.reverted.md + +enwiktionary_models: \ + models/enwiktionary.reverted.rf.model + +enwiktionary_tuning_reports: \ + tuning_reports/enwiktionary.reverted.md + + +############################# Spanish Wikipedia ################################ +datasets/eswiki.human_labeled_revisions.5k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/eswiki/12/ > $@ + +datasets/eswiki.sampled_revisions.20k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/42221/output/0/json-lines?download=true > $@ + +datasets/eswiki.autolabeled_revisions.20k_2015.json: \ + datasets/eswiki.sampled_revisions.20k_2015.json + cat $< | \ + ./utility autolabel --host=https://es.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/eswiki.labeled_revisions.20k_2015.json: \ + datasets/eswiki.human_labeled_revisions.5k_2015.json \ + datasets/eswiki.autolabeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/eswiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/eswiki.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.eswiki.damaging \ + editquality.feature_lists.eswiki.goodfaith \ + --host https://es.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/eswiki.damaging.md: \ + datasets/eswiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.eswiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.11036013315847877" \ + --pop-rate "false=0.8896398668415212" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/eswiki.damaging.gradient_boosting.model: \ + datasets/eswiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.eswiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.11036013315847877" \ + --pop-rate "false=0.8896398668415212" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/eswiki.damaging.md + +tuning_reports/eswiki.goodfaith.md: \ + datasets/eswiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.eswiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.11036013315847877" \ + --pop-rate "false=0.8896398668415212" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/eswiki.goodfaith.gradient_boosting.model: \ + datasets/eswiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.eswiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.11036013315847877" \ + --pop-rate "false=0.8896398668415212" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/eswiki.goodfaith.md + +eswiki_models: \ + models/eswiki.damaging.gradient_boosting.model \ + models/eswiki.goodfaith.gradient_boosting.model + +eswiki_tuning_reports: \ + tuning_reports/eswiki.damaging.md \ + tuning_reports/eswiki.goodfaith.md + + +############################# Spanish Wikibooks ################################ +datasets/eswikibooks.human_labeled_revisions.5k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/eswikibooks/42/ > $@ + +datasets/eswikibooks.sampled_revisions.20k_2015.json: + wget -qO- https://quarry.wmflabs.org/run/113419/output/0/json-lines?download=true > $@ + +datasets/eswikibooks.autolabeled_revisions.20k_2015.json: \ + datasets/eswikibooks.sampled_revisions.20k_2015.json + cat $< | \ + ./utility autolabel --host=https://es.wikibooks.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/eswikibooks.labeled_revisions.20k_2015.json: \ + datasets/eswikibooks.human_labeled_revisions.5k_2015.json \ + datasets/eswikibooks.autolabeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json: \ + datasets/eswikibooks.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.eswikibooks.damaging \ + editquality.feature_lists.eswikibooks.goodfaith \ + --host https://es.wikibooks.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/eswikibooks.damaging.md: \ + datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.eswikibooks.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.1126671580499105" \ + --pop-rate "false=0.8873328419500895" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/eswikibooks.damaging.gradient_boosting.model: \ + datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.eswikibooks.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.1126671580499105" \ + --pop-rate "false=0.8873328419500895" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/eswikibooks.damaging.md + +tuning_reports/eswikibooks.goodfaith.md: \ + datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.eswikibooks.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9139393939393939" \ + --pop-rate "false=0.08606060606060606" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/eswikibooks.goodfaith.gradient_boosting.model: \ + datasets/eswikibooks.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.eswikibooks.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.5' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9139393939393939" \ + --pop-rate "false=0.08606060606060606" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/eswikibooks.goodfaith.md + +eswikibooks_models: \ + models/eswikibooks.damaging.gradient_boosting.model \ + models/eswikibooks.goodfaith.gradient_boosting.model + +eswikibooks_tuning_reports: \ + tuning_reports/eswikibooks.damaging.md \ + tuning_reports/eswikibooks.goodfaith.md + + +############################# Spanish Wikiquote ################################ +datasets/eswikiquote.human_labeled_revisions.5k_2017.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/eswikiquote/64/ > $@ + +# From https://quarry.wmflabs.org/query/23421 +datasets/eswikiquote.sampled_revisions.12k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/219894/output/0/json-lines?download=true > $@ + +datasets/eswikiquote.autolabeled_revisions.12k_2017.json: \ + datasets/eswikiquote.sampled_revisions.12k_2017.json + cat $< | \ + ./utility autolabel --host=https://es.wikiquote.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/eswikiquote.labeled_revisions.12k_2017.json: \ + datasets/eswikiquote.human_labeled_revisions.5k_2017.json \ + datasets/eswikiquote.autolabeled_revisions.12k_2017.json + ./utility merge_labels $^ > $@ + +datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json: \ + datasets/eswikiquote.labeled_revisions.12k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.eswikiquote.damaging \ + editquality.feature_lists.eswikiquote.goodfaith \ + --host https://es.wikiquote.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/eswikiquote.damaging.md: \ + datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.eswikiquote.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.08707101597009854" \ + --pop-rate "false=0.9129289840299014" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/eswikiquote.damaging.gradient_boosting.model: \ + datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.eswikiquote.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.08707101597009854" \ + --pop-rate "false=0.9129289840299014" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/eswikiquote.damaging.md + +tuning_reports/eswikiquote.goodfaith.md: \ + datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.eswikiquote.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9356099218484539" \ + --pop-rate "false=0.06439007815154607" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/eswikiquote.goodfaith.gradient_boosting.model: \ + datasets/eswikiquote.labeled_revisions.w_cache.12k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.eswikiquote.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=1' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9356099218484539" \ + --pop-rate "false=0.06439007815154607" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/eswikiquote.goodfaith.md + +eswikiquote_models: \ + models/eswikiquote.damaging.gradient_boosting.model \ + models/eswikiquote.goodfaith.gradient_boosting.model + +eswikiquote_tuning_reports: \ + tuning_reports/eswikiquote.damaging.md \ + tuning_reports/eswikiquote.goodfaith.md + + +############################# Spanish Wikiversity ################################ +# From https://quarry.wmflabs.org/query/34929 +datasets/eswikiversity.sampled_revisions.17k_2019.json: + wget -qO- https://quarry.wmflabs.org/run/359493/output/0/json-lines > $@ + +datasets/eswikiversity.autolabeled_revisions.17k_2019.json: \ + datasets/eswikiversity.sampled_revisions.17k_2019.json + cat $< | \ + ./utility autolabel --host=https://es.wikiversity.org \ + --trusted-groups=autoconfirmed,sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled \ + --trusted-edits=100 \ + --revert-radius=5 \ + --verbose > $@ + +eswikiversity_models: + +eswikiversity_tuning_reports: + +############################# Estonian Wikipedia ################################ +datasets/etwiki.human_labeled_revisions.5k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/etwiki/17/ > $@ + +datasets/etwiki.sampled_revisions.20k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/50110/output/0/json-lines?download=true > $@ + +datasets/etwiki.autolabeled_revisions.20k_2015.json: \ + datasets/etwiki.sampled_revisions.20k_2015.json + cat $< | \ + ./utility autolabel --host=https://et.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,flow-bot \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/etwiki.labeled_revisions.20k_2015.json: \ + datasets/etwiki.human_labeled_revisions.5k_2015.json \ + datasets/etwiki.autolabeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/etwiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/etwiki.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.etwiki.damaging \ + editquality.feature_lists.etwiki.goodfaith \ + --host https://et.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/etwiki.damaging.md: \ + datasets/etwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.etwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.026158257457618593" \ + --pop-rate "false=0.9738417425423814" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/etwiki.damaging.gradient_boosting.model: \ + datasets/etwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.etwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.026158257457618593" \ + --pop-rate "false=0.9738417425423814" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/etwiki.damaging.md + +tuning_reports/etwiki.goodfaith.md: \ + datasets/etwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.etwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9841038281603702" \ + --pop-rate "false=0.01589617183962977" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/etwiki.goodfaith.gradient_boosting.model: \ + datasets/etwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.etwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9841038281603702" \ + --pop-rate "false=0.01589617183962977" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/etwiki.goodfaith.md + +etwiki_models: \ + models/etwiki.damaging.gradient_boosting.model \ + models/etwiki.goodfaith.gradient_boosting.model + +etwiki_tuning_reports: \ + tuning_reports/etwiki.damaging.md \ + tuning_reports/etwiki.goodfaith.md + + +############################# Persian Wikipedia ################################ +datasets/fawiki.human_labeled_revisions.20k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/fawiki/6/ > $@ + +datasets/fawiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/fawiki/21/ > $@ + +datasets/fawiki.sampled_revisions.20k_2016.json: + wget -qO- http://quarry.wmflabs.org/run/59580/output/0/json-lines?download=true > $@ + +datasets/fawiki.autolabeled_revisions.20k_2016.json: \ + datasets/fawiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://fa.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,flow-bot \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/fawiki.labeled_revisions.20k_2015.json: \ + datasets/fawiki.human_labeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/fawiki.labeled_revisions.20k_2016.json: \ + datasets/fawiki.human_labeled_revisions.5k_2016.json \ + datasets/fawiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/fawiki.labeled_revisions.40k_2015_2016.json: \ + datasets/fawiki.labeled_revisions.20k_2015.json \ + datasets/fawiki.labeled_revisions.20k_2016.json + cat $^ > $@ + +datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json: \ + datasets/fawiki.labeled_revisions.40k_2015_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.fawiki.damaging \ + editquality.feature_lists.fawiki.goodfaith \ + --host https://fa.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/fawiki.damaging.md: \ + datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.fawiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0297029702970297" \ + --pop-rate "false=0.9702970297029703" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/fawiki.damaging.gradient_boosting.model: \ + datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.fawiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0297029702970297" \ + --pop-rate "false=0.9702970297029703" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/fawiki.damaging.md + +tuning_reports/fawiki.goodfaith.md: \ + datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.fawiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9834641681438339" \ + --pop-rate "false=0.01653583185616614" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/fawiki.goodfaith.gradient_boosting.model: \ + datasets/fawiki.labeled_revisions.w_cache.40k_2015_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.fawiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9834641681438339" \ + --pop-rate "false=0.01653583185616614" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/fawiki.goodfaith.md + +fawiki_models: \ + models/fawiki.damaging.gradient_boosting.model \ + models/fawiki.goodfaith.gradient_boosting.model + +fawiki_tuning_reports: \ + tuning_reports/fawiki.damaging.md \ + tuning_reports/fawiki.goodfaith.md + + +############################# French Wikipedia ################################ +datasets/frwiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/frwiki/38/ > $@ + +datasets/frwiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/98251/output/0/json-lines?download=true > $@ + +datasets/frwiki.autolabeled_revisions.20k_2016.json: \ + datasets/frwiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://fr.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/frwiki.revisions_for_review.5k_2016.json: \ + datasets/frwiki.autolabeled_revisions.20k_2016.json + ( \ + cat datasets/frwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/frwiki.autolabeled_revisions.20k_2016.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/frwiki.labeled_revisions.20k_2016.json: \ + datasets/frwiki.human_labeled_revisions.5k_2016.json \ + datasets/frwiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/frwiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/frwiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.frwiki.damaging \ + editquality.feature_lists.frwiki.goodfaith \ + --host https://fr.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/frwiki.damaging.md: \ + datasets/frwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.frwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.028751753155680224" \ + --pop-rate "false=0.9712482468443198" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/frwiki.damaging.gradient_boosting.model: \ + datasets/frwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.frwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.028751753155680224" \ + --pop-rate "false=0.9712482468443198" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/frwiki.damaging.md + +tuning_reports/frwiki.goodfaith.md: \ + datasets/frwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.frwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9786115007012622" \ + --pop-rate "false=0.021388499298737762" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/frwiki.goodfaith.gradient_boosting.model: \ + datasets/frwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.frwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9786115007012622" \ + --pop-rate "false=0.021388499298737762" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/frwiki.goodfaith.md + +frwiki_models: \ + models/frwiki.damaging.gradient_boosting.model \ + models/frwiki.goodfaith.gradient_boosting.model + +frwiki_tuning_reports: \ + tuning_reports/frwiki.damaging.md \ + tuning_reports/frwiki.goodfaith.md + + +############################# Galician Wikipedia ################################ +datasets/glwiki.sampled_revisions.60k_2019.json: + wget -qO- https://quarry.wmflabs.org/run/385851/output/0/json-lines?download=true > $@ + +datasets/glwiki.autolabeled_revisions.60k_2019.json: \ + datasets/glwiki.sampled_revisions.60k_2019.json + cat $< | \ + ./utility autolabel --host=https://gl.wikipedia.org \ + --trusted-groups=checkuser,bureaucrat,sysop,eliminator,bot \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/glwiki.autolabeled_revisions.w_cache.60k_2019.json: \ + datasets/glwiki.autolabeled_revisions.60k_2019.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.glwiki.reverted \ + --host https://gl.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/glwiki.reverted.md: \ + datasets/glwiki.autolabeled_revisions.w_cache.60k_2019.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.glwiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.0405" \ + --pop-rate "false=0.9595" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/glwiki.reverted.gradient_boosting.model: \ + datasets/glwiki.autolabeled_revisions.w_cache.60k_2019.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.glwiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=7' \ + -p 'n_estimators=700' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.0405" \ + --pop-rate "false=0.9595" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/glwiki.reverted.md + +glwiki_models: \ + models/glwiki.reverted.gradient_boosting.model + +glwiki_tuning_reports: \ + tuning_reports/glwiki.reverted.md + + +############################# Hebrew Wikipedia ################################ +datasets/hewiki.human_labeled_revisions.5k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/hewiki/25/ > $@ + +datasets/hewiki.sampled_revisions.20k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/42222/output/0/json-lines?download=true > $@ + +# From https://quarry.wmflabs.org/query/33235 +datasets/hewiki.sampled_revisions.20k_2019.json: + wget -qO- https://quarry.wmflabs.org/run/332742/output/0/json-lines > $@ + +datasets/hewiki.autolabeled_revisions.20k_2015.json: \ + datasets/hewiki.sampled_revisions.20k_2015.json + cat $< | \ + ./utility autolabel --host=https://he.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/hewiki.autolabeled_revisions.20k_2019.json: \ + datasets/hewiki.sampled_revisions.20k_2019.json + cat $< | \ + ./utility autolabel --host=https://he.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/hewiki.revisions_for_review.5k_2015.json: \ + datasets/hewiki.autolabeled_revisions.20k_2015.json + ( \ + cat datasets/hewiki.autolabeled_revisions.20k_2015.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/hewiki.autolabeled_revisions.20k_2015.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/hewiki.labeled_revisions.20k_2015.json: \ + datasets/hewiki.human_labeled_revisions.5k_2015.json \ + datasets/hewiki.autolabeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/hewiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/hewiki.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.hewiki.damaging \ + editquality.feature_lists.hewiki.goodfaith \ + --host https://he.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/hewiki.damaging.md: \ + datasets/hewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.hewiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.046281731975314835" \ + --pop-rate "false=0.9537182680246852" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/hewiki.damaging.rf.model: \ + datasets/hewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.RandomForest \ + editquality.feature_lists.hewiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'criterion="entropy"' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=1' \ + -p 'n_estimators=320' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.046281731975314835" \ + --pop-rate "false=0.9537182680246852" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/hewiki.damaging.md + +tuning_reports/hewiki.goodfaith.md: \ + datasets/hewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.hewiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9718244945060459" \ + --pop-rate "false=0.02817550549395409" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/hewiki.goodfaith.gradient_boosting.model: \ + datasets/hewiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.hewiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9718244945060459" \ + --pop-rate "false=0.02817550549395409" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/hewiki.goodfaith.md + +hewiki_models: \ + models/hewiki.damaging.rf.model \ + models/hewiki.goodfaith.gradient_boosting.model + +hewiki_tuning_reports: \ + tuning_reports/hewiki.damaging.md \ + tuning_reports/hewiki.goodfaith.md + + +############################# Hindi Wikipedia ################################ +# From https://quarry.wmflabs.org/query/44835 +datasets/hiwiki.sampled_revisions.10k_2020.json: + wget -qO- https://quarry.wmflabs.org/run/467016/output/0/json-lines > $@ + +datasets/hiwiki.autolabeled_revisions.10k_2020.json: \ + datasets/hiwiki.sampled_revisions.10k_2020.json + cat $< | \ + ./utility autolabel --host=https://hi.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,autopatrolled,autoreview,reviewer \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +hiwiki_models: + +hiwiki_tuning_reports: + +############################# Croatian Wikipedia ################################ +# From https://quarry.wmflabs.org/query/21213 +datasets/hrwiki.sampled_revisions.20k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/200064/output/0/json-lines?download=true > $@ + +datasets/hrwiki.autolabeled_revisions.20k_2017.json: \ + datasets/hrwiki.sampled_revisions.20k_2017.json + cat $< | \ + ./utility autolabel --host=https://hr.wikipedia.org \ + --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/hrwiki.autolabeled_revisions.w_cache.20k_2017.json: \ + datasets/hrwiki.autolabeled_revisions.20k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.hrwiki.reverted \ + --host https://hr.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/hrwiki.reverted.md: \ + datasets/hrwiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.hrwiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.07927353670258512" \ + --pop-rate "false=0.9207264632974149" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/hrwiki.reverted.gradient_boosting.model: \ + datasets/hrwiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.hrwiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.07927353670258512" \ + --pop-rate "false=0.9207264632974149" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/hrwiki.reverted.md + +hrwiki_models: \ + models/hrwiki.reverted.gradient_boosting.model + +hrwiki_tuning_reports: \ + tuning_reports/hrwiki.reverted.md + + +############################# Hungarian Wikipedia ################################ +datasets/huwiki.badfaith_or_damaging_relabeling_revisions.5k_2019.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/huwiki/92/ > $@ + +datasets/huwiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/huwiki/33/ > $@ + +datasets/huwiki.sampled_revisions.40k_2016.json: + wget -qO- http://quarry.wmflabs.org/run/79645/output/0/json-lines?download=true > $@ + +datasets/huwiki.autolabeled_revisions.40k_2016.json: \ + datasets/huwiki.sampled_revisions.40k_2016.json + cat $< | \ + ./utility autolabel --host=https://hu.wikipedia.org \ + --trusted-groups=sysop,oversight,trusted,bot,rollbacker,checkuser,abusefilter,bureaucrat,editor,templateeditor,interface-editor \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/huwiki.revisions_for_review.5k_2016.json: \ + datasets/huwiki.autolabeled_revisions.40k_2016.json + ( \ + cat datasets/huwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/huwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/huwiki.labeled_revisions.40k_2016.json: \ + datasets/huwiki.badfaith_or_damaging_relabeling_revisions.5k_2019.json \ + datasets/huwiki.original_labeled_revisions.40k_2016.json + ./utility merge_labels $^ > $@ + +datasets/huwiki.original_labeled_revisions.40k_2016.json: \ + datasets/huwiki.human_labeled_revisions.5k_2016.json \ + datasets/huwiki.autolabeled_revisions.40k_2016.json + ./utility merge_labels $^ > $@ + +datasets/huwiki.labeled_revisions.w_cache.40k_2016.json: \ + datasets/huwiki.labeled_revisions.40k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.huwiki.damaging \ + editquality.feature_lists.huwiki.goodfaith \ + --host https://hu.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/huwiki.damaging.md: \ + datasets/huwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.huwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.01093805131" \ + --pop-rate "false=0.98906194869" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/huwiki.damaging.gradient_boosting.model: \ + datasets/huwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.huwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.01093805131" \ + --pop-rate "false=0.98906194869" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/huwiki.damaging.md + +tuning_reports/huwiki.goodfaith.md: \ + datasets/huwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.huwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.99221230908" \ + --pop-rate "false=0.007787690919999979" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/huwiki.goodfaith.gradient_boosting.model: \ + datasets/huwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.huwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.99221230908" \ + --pop-rate "false=0.007787690919999979" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/huwiki.goodfaith.md + +huwiki_models: \ + models/huwiki.damaging.gradient_boosting.model \ + models/huwiki.goodfaith.gradient_boosting.model + +huwiki_tuning_reports: \ + tuning_reports/huwiki.damaging.md \ + tuning_reports/huwiki.goodfaith.md + + +############################# Indonesian Wikipedia ################################ +datasets/idwiki.sampled_revisions.100k_2016.json: + wget -qO- http://quarry.wmflabs.org/run/135748/output/0/json-lines?download=true > $@ + +datasets/idwiki.autolabeled_revisions.100k_2016.json: \ + datasets/idwiki.sampled_revisions.100k_2016.json + cat $< | \ + ./utility autolabel --host=https://id.wikipedia.org \ + --trusted-groups=autoreview,bot,bureaucrat,checkuser,editor,flow-bot,oversight,reviewer,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/idwiki.autolabeled_revisions.w_cache.100k_2016.json: \ + datasets/idwiki.autolabeled_revisions.100k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.idwiki.reverted \ + --host https://id.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/idwiki.reverted.md: \ + datasets/idwiki.autolabeled_revisions.w_cache.100k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.idwiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.02272613605673532" \ + --pop-rate "false=0.9772738639432647" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/idwiki.reverted.gradient_boosting.model: \ + datasets/idwiki.autolabeled_revisions.w_cache.100k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.idwiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.02272613605673532" \ + --pop-rate "false=0.9772738639432647" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/idwiki.reverted.md + +idwiki_models: \ + models/idwiki.reverted.gradient_boosting.model + +idwiki_tuning_reports: \ + tuning_reports/idwiki.reverted.md + + +############################# Icelandic Wikipedia ################################ +# From https://quarry.wmflabs.org/query/23305 +datasets/iswiki.sampled_revisions.20k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/218976/output/0/json-lines?download=true > $@ + +datasets/iswiki.autolabeled_revisions.20k_2017.json: \ + datasets/iswiki.sampled_revisions.20k_2017.json + cat $< | \ + ./utility autolabel --host=https://is.wikipedia.org \ + --trusted-groups=autopatrolled,bot,bureaucrat,checkuser,reviewer,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/iswiki.autolabeled_revisions.w_cache.20k_2017.json: \ + datasets/iswiki.autolabeled_revisions.20k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.iswiki.reverted \ + --host https://is.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/iswiki.reverted.md: \ + datasets/iswiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.iswiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.08115405770288514" \ + --pop-rate "false=0.9188459422971149" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/iswiki.reverted.gradient_boosting.model: \ + datasets/iswiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.iswiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.08115405770288514" \ + --pop-rate "false=0.9188459422971149" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/iswiki.reverted.md + +iswiki_models: \ + models/iswiki.reverted.gradient_boosting.model + +iswiki_tuning_reports: \ + tuning_reports/iswiki.reverted.md + + +############################# Italian Wikipedia ################################ +datasets/itwiki.human_labeled_revisions.5k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/itwiki/18/ > $@ + +datasets/itwiki.sampled_revisions.20k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/42224/output/0/json-lines?download=true > $@ + +datasets/itwiki.autolabeled_revisions.20k_2015.json: \ + datasets/itwiki.sampled_revisions.20k_2015.json + cat $< | \ + ./utility autolabel --host=https://it.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/itwiki.labeled_revisions.20k_2015.json: \ + datasets/itwiki.human_labeled_revisions.5k_2015.json \ + datasets/itwiki.autolabeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/itwiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/itwiki.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.itwiki.damaging \ + editquality.feature_lists.itwiki.goodfaith \ + --host https://it.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/itwiki.damaging.md: \ + datasets/itwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.itwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.038665452792802445" \ + --pop-rate "false=0.9613345472071976" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/itwiki.damaging.gradient_boosting.model: \ + datasets/itwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.itwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.038665452792802445" \ + --pop-rate "false=0.9613345472071976" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/itwiki.damaging.md + +tuning_reports/itwiki.goodfaith.md: \ + datasets/itwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.itwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9807743801210304" \ + --pop-rate "false=0.019225619878969646" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/itwiki.goodfaith.gradient_boosting.model: \ + datasets/itwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.itwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9807743801210304" \ + --pop-rate "false=0.019225619878969646" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/itwiki.goodfaith.md + +itwiki_models: \ + models/itwiki.damaging.gradient_boosting.model \ + models/itwiki.goodfaith.gradient_boosting.model + +itwiki_tuning_reports: \ + tuning_reports/itwiki.damaging.md \ + tuning_reports/itwiki.goodfaith.md + + ############################# Japanese Wikipedia ################################ datasets/jawiki.human_labeled_revisions.5k_2016.json: ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/jawiki/15 > $@ + https://labels.wmflabs.org/campaigns/jawiki/15 > $@ + +# From https://quarry.wmflabs.org/query/9927 +datasets/jawiki.sampled_revisions.40k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/89016/output/0/json-lines?download=true > $@ + +datasets/jawiki.autolabeled_revisions.40k_2016.json: \ + datasets/jawiki.sampled_revisions.40k_2016.json + cat $< | \ + ./utility autolabel --host=https://ja.wikipedia.org \ + --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/jawiki.labeled_revisions.40k_2016.json: \ + datasets/jawiki.human_labeled_revisions.5k_2016.json \ + datasets/jawiki.autolabeled_revisions.40k_2016.json + ./utility merge_labels $^ > $@ + +datasets/jawiki.labeled_revisions.w_cache.40k_2016.json: \ + datasets/jawiki.labeled_revisions.40k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.jawiki.damaging \ + editquality.feature_lists.jawiki.goodfaith \ + --host https://ja.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/jawiki.damaging.md: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.jawiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.010758453070269498" \ + --pop-rate "false=0.9892415469297305" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/jawiki.damaging.gradient_boosting.model: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.jawiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=1' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=3' \ + -p 'n_estimators=300' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.010758453070269498" \ + --pop-rate "false=0.9892415469297305" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/jawiki.damaging.md + +tuning_reports/jawiki.goodfaith.md: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.jawiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.00461076560154407" \ + --pop-rate "false=0.995389234398456" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/jawiki.goodfaith.gradient_boosting.model: \ + datasets/jawiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.jawiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=1' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=3' \ + -p 'n_estimators=300' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.00461076560154407" \ + --pop-rate "false=0.995389234398456" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/jawiki.goodfaith.md + +jawiki_models: \ + models/jawiki.damaging.gradient_boosting.model \ + models/jawiki.goodfaith.gradient_boosting.model + +jawiki_tuning_reports: \ + tuning_reports/jawiki.damaging.md \ + tuning_reports/jawiki.goodfaith.md + + +############################# Korean Wikipedia ################################ +datasets/kowiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/kowiki/50/ > $@ + +# From https://quarry.wmflabs.org/query/17645 +datasets/kowiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/165613/output/0/json-lines?download=true > $@ + +datasets/kowiki.autolabeled_revisions.20k_2016.json: \ + datasets/kowiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://ko.wikipedia.org \ + --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/kowiki.labeled_revisions.20k_2016.json: \ + datasets/kowiki.human_labeled_revisions.5k_2016.json \ + datasets/kowiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/kowiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/kowiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.kowiki.damaging \ + editquality.feature_lists.kowiki.goodfaith \ + --host https://ko.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/kowiki.damaging.md: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.kowiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.038665452792802445" \ + --pop-rate "false=0.9613345472071976" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/kowiki.damaging.gradient_boosting.model: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.kowiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.5' \ + -p 'max_depth=1' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=5' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.038665452792802445" \ + --pop-rate "false=0.9613345472071976" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/kowiki.damaging.md + +tuning_reports/kowiki.goodfaith.md: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.kowiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9807743801210304" \ + --pop-rate "false=0.019225619878969646" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/kowiki.goodfaith.gradient_boosting.model: \ + datasets/kowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.kowiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'min_samples_leaf=13' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9807743801210304" \ + --pop-rate "false=0.019225619878969646" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/kowiki.goodfaith.md + +kowiki_models: \ + models/kowiki.damaging.gradient_boosting.model \ + models/kowiki.goodfaith.gradient_boosting.model + +kowiki_tuning_reports: \ + tuning_reports/kowiki.damaging.md \ + tuning_reports/kowiki.goodfaith.md + + +############################# Latvian Wikipedia ################################ +datasets/lvwiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + http://labels.wmflabs.org/campaigns/lvwiki/56/ > $@ + +# From https://quarry.wmflabs.org/query/17989 +datasets/lvwiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/169100/output/0/json-lines?download=true > $@ + +datasets/lvwiki.autolabeled_revisions.20k_2016.json: \ + datasets/lvwiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://lv.wikipedia.org \ + --trusted-groups=sysop,bureaucrat,bot,oversight,checkuser,patroller,autopatrolled \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/lvwiki.labeled_revisions.20k_2016.json: \ + datasets/lvwiki.human_labeled_revisions.5k_2016.json \ + datasets/lvwiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/lvwiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.lvwiki.damaging \ + editquality.feature_lists.lvwiki.goodfaith \ + --host https://lv.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/lvwiki.damaging.md: \ + datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.lvwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0293" \ + --pop-rate "false=0.9707" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/lvwiki.damaging.gradient_boosting.model: \ + datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.lvwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0293" \ + --pop-rate "false=0.9707" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/lvwiki.damaging.md + +tuning_reports/lvwiki.goodfaith.md: \ + datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.lvwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.978" \ + --pop-rate "false=0.02200000000000002" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/lvwiki.goodfaith.gradient_boosting.model: \ + datasets/lvwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.lvwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.5' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.978" \ + --pop-rate "false=0.02200000000000002" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/lvwiki.goodfaith.md + +lvwiki_models: \ + models/lvwiki.damaging.gradient_boosting.model \ + models/lvwiki.goodfaith.gradient_boosting.model + +lvwiki_tuning_reports: \ + tuning_reports/lvwiki.damaging.md \ + tuning_reports/lvwiki.goodfaith.md + + +############################# Dutch Wikipedia ################################ +datasets/nlwiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/nlwiki/14/ > $@ + +datasets/nlwiki.sampled_revisions.20k_2016.json: + wget -qO- http://quarry.wmflabs.org/run/42225/output/0/json-lines?download=true > $@ + +datasets/nlwiki.autolabeled_revisions.20k_2016.json: \ + datasets/nlwiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://nl.wikipedia.org \ + --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/nlwiki.labeled_revisions.20k_2016.json: \ + datasets/nlwiki.human_labeled_revisions.5k_2016.json \ + datasets/nlwiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/nlwiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.nlwiki.damaging \ + editquality.feature_lists.nlwiki.goodfaith \ + --host https://nl.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/nlwiki.damaging.md: \ + datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.nlwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.05068086413432989" \ + --pop-rate "false=0.9493191358656701" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/nlwiki.damaging.gradient_boosting.model: \ + datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.nlwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.05068086413432989" \ + --pop-rate "false=0.9493191358656701" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/nlwiki.damaging.md + +tuning_reports/nlwiki.goodfaith.md: \ + datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.nlwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9646257806900789" \ + --pop-rate "false=0.03537421930992113" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/nlwiki.goodfaith.gradient_boosting.model: \ + datasets/nlwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.nlwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9646257806900789" \ + --pop-rate "false=0.03537421930992113" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/nlwiki.goodfaith.md + +nlwiki_models: \ + models/nlwiki.damaging.gradient_boosting.model \ + models/nlwiki.goodfaith.gradient_boosting.model + +nlwiki_tuning_reports: \ + tuning_reports/nlwiki.damaging.md \ + tuning_reports/nlwiki.goodfaith.md + + +############################# Norwegian Wikipedia ################################ +datasets/nowiki.human_labeled_revisions.5k_2019.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/nowiki/27/ > $@ + +datasets/nowiki.sampled_revisions.100k_2015.json: + wget -qO- https://quarry.wmflabs.org/run/67250/output/0/json-lines?download=true > $@ + +datasets/nowiki.autolabeled_revisions.100k_2015.json: \ + datasets/nowiki.sampled_revisions.100k_2015.json + cat $< | \ + ./utility autolabel --host=https://no.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/nowiki.revisions_for_review.5k_2015.json: \ + datasets/nowiki.autolabeled_revisions.100k_2015.json + ( \ + cat datasets/nowiki.autolabeled_revisions.100k_2015.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/nowiki.autolabeled_revisions.100k_2015.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/nowiki.labeled_revisions.100k_2015.json: \ + datasets/nowiki.human_labeled_revisions.5k_2019.json \ + datasets/nowiki.autolabeled_revisions.100k_2015.json + ./utility merge_labels $^ > $@ + +datasets/nowiki.autolabeled_revisions.40k_2015.json: \ + datasets/nowiki.autolabeled_revisions.100k_2015.json + cat $^ | shuf -n 40000 > $@ + +datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json: \ + datasets/nowiki.labeled_revisions.100k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.nowiki.damaging \ + editquality.feature_lists.nowiki.goodfaith \ + --host https://no.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/nowiki.damaging.md: \ + datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.nowiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.018525821674654473" \ + --pop-rate "false=0.9814741783253456" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/nowiki.damaging.gradient_boosting.model: \ + datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.nowiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.018525821674654473" \ + --pop-rate "false=0.9814741783253456" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/nowiki.damaging.md + +tuning_reports/nowiki.goodfaith.md: \ + datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.nowiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9865927208557759" \ + --pop-rate "false=0.013407279144224127" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/nowiki.goodfaith.gradient_boosting.model: \ + datasets/nowiki.labeled_revisions.w_cache.100k_2015.json.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.nowiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9865927208557759" \ + --pop-rate "false=0.013407279144224127" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/nowiki.goodfaith.md + +nowiki_models: \ + models/nowiki.damaging.gradient_boosting.model \ + models/nowiki.goodfaith.gradient_boosting.model + +nowiki_tuning_reports: \ + tuning_reports/nowiki.damaging.md \ + tuning_reports/nowiki.goodfaith.md + + +############################# Portugueses Wikipedia ################################ +datasets/ptwiki.human_labeled_revisions.20k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/ptwiki/7/ > $@ + +datasets/ptwiki.human_labeled_revisions.4k_2020.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/ptwiki/93/ > $@ + +# From https://quarry.wmflabs.org/query/43215 +datasets/ptwiki.sampled_revisions.10k_2020.json: + wget -qO- https://quarry.wmflabs.org/run/444194/output/0/json-lines > $@ + +datasets/ptwiki.autolabeled_revisions.10k_2020.json: \ + datasets/ptwiki.sampled_revisions.10k_2020.json + cat $< | \ + ./utility autolabel --host=https://pt.wikipedia.org \ + --trusted-groups=bot,sysop,bureaucrat,autoreviewer,rollbacker \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/ptwiki.labeled_revisions.10k_2020.json: \ + datasets/ptwiki.human_labeled_revisions.4k_2020.json \ + datasets/ptwiki.autolabeled_revisions.10k_2020.json + ./utility merge_labels $^ > $@ + +datasets/ptwiki.labeled_revisions.20k_2015.json: \ + datasets/ptwiki.human_labeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/ptwiki.labeled_revisions.30k_2015_2020.json: \ + datasets/ptwiki.labeled_revisions.20k_2015.json \ + datasets/ptwiki.labeled_revisions.10k_2020.json + cat $^ > $@ + +datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json: \ + datasets/ptwiki.labeled_revisions.30k_2015_2020.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.ptwiki.damaging \ + editquality.feature_lists.ptwiki.goodfaith \ + --host https://pt.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/ptwiki.damaging.md: \ + datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.ptwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.06896029864299047" \ + --pop-rate "false=0.9310397013570095" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/ptwiki.damaging.gradient_boosting.model: \ + datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.ptwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.06896029864299047" \ + --pop-rate "false=0.9310397013570095" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/ptwiki.damaging.md + +tuning_reports/ptwiki.goodfaith.md: \ + datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.ptwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9397669373959542" \ + --pop-rate "false=0.06023306260404582" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/ptwiki.goodfaith.gradient_boosting.model: \ + datasets/ptwiki.labeled_revisions.w_cache.30k_2015_2020.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.ptwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9397669373959542" \ + --pop-rate "false=0.06023306260404582" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/ptwiki.goodfaith.md + +ptwiki_models: \ + models/ptwiki.damaging.gradient_boosting.model \ + models/ptwiki.goodfaith.gradient_boosting.model + +ptwiki_tuning_reports: \ + tuning_reports/ptwiki.damaging.md \ + tuning_reports/ptwiki.goodfaith.md + + +############################# Romanian Wikipedia ################################ +datasets/rowiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/rowiki/48/ > $@ + +datasets/rowiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/146926/output/0/json-lines?download=true > $@ + +datasets/rowiki.autolabeled_revisions.20k_2016.json: \ + datasets/rowiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://ro.wikipedia.org \ + --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot,templateeditor,patroller,autopatrolled \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/rowiki.labeled_revisions.20k_2016.json: \ + datasets/rowiki.human_labeled_revisions.5k_2016.json \ + datasets/rowiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/rowiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/rowiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.rowiki.damaging \ + editquality.feature_lists.rowiki.goodfaith \ + --host https://ro.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/rowiki.damaging.md: \ + datasets/rowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.rowiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.04956982793117247" \ + --pop-rate "false=0.9504301720688275" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/rowiki.damaging.gradient_boosting.model: \ + datasets/rowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.rowiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.04956982793117247" \ + --pop-rate "false=0.9504301720688275" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/rowiki.damaging.md + +tuning_reports/rowiki.goodfaith.md: \ + datasets/rowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.rowiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9699379751900761" \ + --pop-rate "false=0.030062024809923926" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/rowiki.goodfaith.gradient_boosting.model: \ + datasets/rowiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.rowiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9699379751900761" \ + --pop-rate "false=0.030062024809923926" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/rowiki.goodfaith.md + +rowiki_models: \ + models/rowiki.damaging.gradient_boosting.model \ + models/rowiki.goodfaith.gradient_boosting.model + +rowiki_tuning_reports: \ + tuning_reports/rowiki.damaging.md \ + tuning_reports/rowiki.goodfaith.md + + +############################# Russian Wikipedia ################################ +datasets/ruwiki.human_labeled_revisions.5k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/ruwiki/10/ > $@ + +datasets/ruwiki.sampled_revisions.20k_2015.json: + wget -qO- https://quarry.wmflabs.org/run/48649/output/0/json-lines?download=true > $@ + +# From https://quarry.wmflabs.org/query/34921 +datasets/ruwiki.sampled_revisions.20k_2019.json: + wget -qO- https://quarry.wmflabs.org/run/359270/output/0/json-lines > $@ + +datasets/ruwiki.autolabeled_revisions.20k_2015.json: \ + datasets/ruwiki.sampled_revisions.20k_2015.json + cat $< | \ + ./utility autolabel --host=https://ru.wikipedia.org \ + --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/ruwiki.autolabeled_revisions.20k_2019.json: \ + datasets/ruwiki.sampled_revisions.20k_2019.json + cat $< | \ + ./utility autolabel --host=https://ru.wikipedia.org \ + --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/ruwiki.labeled_revisions.20k_2015.json: \ + datasets/ruwiki.human_labeled_revisions.5k_2015.json \ + datasets/ruwiki.autolabeled_revisions.20k_2015.json + ./utility merge_labels $^ > $@ + +datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/ruwiki.labeled_revisions.20k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.ruwiki.damaging \ + editquality.feature_lists.ruwiki.goodfaith \ + --host https://ru.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/ruwiki.damaging.md: \ + datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.ruwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.053479185657854755" \ + --pop-rate "false=0.9465208143421453" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/ruwiki.damaging.gradient_boosting.model: \ + datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.ruwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.053479185657854755" \ + --pop-rate "false=0.9465208143421453" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/ruwiki.damaging.md + +tuning_reports/ruwiki.goodfaith.md: \ + datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.ruwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9713866099463182" \ + --pop-rate "false=0.028613390053681798" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/ruwiki.goodfaith.gradient_boosting.model: \ + datasets/ruwiki.labeled_revisions.w_cache.20k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.ruwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.1' \ + -p 'max_depth=3' \ + -p 'max_features="log2"' \ + -p 'n_estimators=300' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9713866099463182" \ + --pop-rate "false=0.028613390053681798" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/ruwiki.goodfaith.md + +ruwiki_models: \ + models/ruwiki.damaging.gradient_boosting.model \ + models/ruwiki.goodfaith.gradient_boosting.model + +ruwiki_tuning_reports: \ + tuning_reports/ruwiki.damaging.md \ + tuning_reports/ruwiki.goodfaith.md + + +############################# Albanian Wikipedia ################################ +datasets/sqwiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/sqwiki/57/ > $@ + +# From https://quarry.wmflabs.org/query/17988 +datasets/sqwiki.sampled_revisions.20k_2016.json: + wget -qO- https://quarry.wmflabs.org/run/169099/output/0/json-lines?download=true > $@ + +datasets/sqwiki.autolabeled_revisions.20k_2016.json: \ + datasets/sqwiki.sampled_revisions.20k_2016.json + cat $< | \ + ./utility autolabel --host=https://sq.wikipedia.org \ + --trusted-groups=sysop,oversight,trusted,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/sqwiki.labeled_revisions.20k_2016.json: \ + datasets/sqwiki.human_labeled_revisions.5k_2016.json \ + datasets/sqwiki.autolabeled_revisions.20k_2016.json + ./utility merge_labels $^ > $@ + +datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json: \ + datasets/sqwiki.labeled_revisions.20k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.sqwiki.damaging \ + editquality.feature_lists.sqwiki.goodfaith \ + --host https://sq.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/sqwiki.damaging.md: \ + datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.sqwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0287028702870287" \ + --pop-rate "false=0.9712971297129713" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/sqwiki.damaging.gradient_boosting.model: \ + datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.sqwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0287028702870287" \ + --pop-rate "false=0.9712971297129713" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/sqwiki.damaging.md + +tuning_reports/sqwiki.goodfaith.md: \ + datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.sqwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9763476347634763" \ + --pop-rate "false=0.023652365236523698" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/sqwiki.goodfaith.gradient_boosting.model: \ + datasets/sqwiki.labeled_revisions.w_cache.20k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.sqwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9763476347634763" \ + --pop-rate "false=0.023652365236523698" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/sqwiki.goodfaith.md + +sqwiki_models: \ + models/sqwiki.damaging.gradient_boosting.model \ + models/sqwiki.goodfaith.gradient_boosting.model + +sqwiki_tuning_reports: \ + tuning_reports/sqwiki.damaging.md \ + tuning_reports/sqwiki.goodfaith.md + + +############################# Serbian Wikipedia ################################ +datasets/srwiki.badfaith_relabeling_revisions.500_2017.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/srwiki/89/ > $@ + +datasets/srwiki.human_labeled_revisions.5k_2017.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/srwiki/62/ > $@ + +datasets/srwiki.sampled_revisions.120k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/211097/output/0/json-lines?download=true > $@ + +datasets/srwiki.autolabeled_revisions.120k_2017.json: \ + datasets/srwiki.sampled_revisions.120k_2017.json + cat $< | \ + ./utility autolabel --host=https://sr.wikipedia.org \ + --trusted-groups=autopatrolled,bot,bureaucrat,patroller,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/srwiki.labeled_revisions.120k_2017.json: \ + datasets/srwiki.badfaith_relabeling_revisions.500_2017.json \ + datasets/srwiki.original_labeled_revisions.120k_2017.json + ./utility merge_labels $^ > $@ + +datasets/srwiki.original_labeled_revisions.120k_2017.json: \ + datasets/srwiki.human_labeled_revisions.5k_2017.json \ + datasets/srwiki.autolabeled_revisions.120k_2017.json + ./utility merge_labels $^ > $@ + +datasets/srwiki.labeled_revisions.w_cache.120k_2017.json: \ + datasets/srwiki.labeled_revisions.120k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.srwiki.damaging \ + editquality.feature_lists.srwiki.goodfaith \ + --host https://sr.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/srwiki.damaging.md: \ + datasets/srwiki.labeled_revisions.w_cache.120k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.srwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0056294177044766075" \ + --pop-rate "false=0.9943705822955234" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/srwiki.damaging.gradient_boosting.model: \ + datasets/srwiki.labeled_revisions.w_cache.120k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.srwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.0056294177044766075" \ + --pop-rate "false=0.9943705822955234" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/srwiki.damaging.md + +tuning_reports/srwiki.goodfaith.md: \ + datasets/srwiki.labeled_revisions.w_cache.120k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.srwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9961881521373275" \ + --pop-rate "false=0.003811847862672524" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/srwiki.goodfaith.gradient_boosting.model: \ + datasets/srwiki.labeled_revisions.w_cache.120k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.srwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9961881521373275" \ + --pop-rate "false=0.003811847862672524" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/srwiki.goodfaith.md + +srwiki_models: \ + models/srwiki.damaging.gradient_boosting.model \ + models/srwiki.goodfaith.gradient_boosting.model + +srwiki_tuning_reports: \ + tuning_reports/srwiki.damaging.md \ + tuning_reports/srwiki.goodfaith.md + + +############################# Swedish Wikipedia ################################ +datasets/svwiki.human_labeled_revisions.5k_2016.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/svwiki/35/ > $@ + +datasets/svwiki.sampled_revisions.40k_2016.json: + wget -qO- http://quarry.wmflabs.org/run/79646/output/0/json-lines?download=true > $@ + +datasets/svwiki.autolabeled_revisions.40k_2016.json: \ + datasets/svwiki.sampled_revisions.40k_2016.json + cat $< | \ + ./utility autolabel --host=https://sv.wikipedia.org \ + --trusted-groups=sysop,oversight,trusted,bot,rollbacker,checkuser,abusefilter,bureaucrat \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/svwiki.revisions_for_review.5k_2016.json: \ + datasets/svwiki.autolabeled_revisions.40k_2016.json + ( \ + cat datasets/svwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/svwiki.autolabeled_revisions.40k_2016.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/svwiki.labeled_revisions.40k_2016.json: \ + datasets/svwiki.human_labeled_revisions.5k_2016.json \ + datasets/svwiki.autolabeled_revisions.40k_2016.json + ./utility merge_labels $^ > $@ + +datasets/svwiki.labeled_revisions.w_cache.40k_2016.json: \ + datasets/svwiki.labeled_revisions.40k_2016.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.svwiki.damaging \ + editquality.feature_lists.svwiki.goodfaith \ + --host https://sv.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/svwiki.damaging.md: \ + datasets/svwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.svwiki.damaging \ + damaging \ + $(damaging_tuning_statistic) \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.025209073272463033" \ + --pop-rate "false=0.974790926727537" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/svwiki.damaging.gradient_boosting.model: \ + datasets/svwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.svwiki.damaging \ + damaging \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=5' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(damaging_weight) \ + --pop-rate "true=0.025209073272463033" \ + --pop-rate "false=0.974790926727537" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/svwiki.damaging.md + +tuning_reports/svwiki.goodfaith.md: \ + datasets/svwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.svwiki.goodfaith \ + goodfaith \ + $(goodfaith_tuning_statistic) \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9822912868686937" \ + --pop-rate "false=0.017708713131306286" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/svwiki.goodfaith.gradient_boosting.model: \ + datasets/svwiki.labeled_revisions.w_cache.40k_2016.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.svwiki.goodfaith \ + goodfaith \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(goodfaith_weight) \ + --pop-rate "true=0.9822912868686937" \ + --pop-rate "false=0.017708713131306286" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/svwiki.goodfaith.md + +svwiki_models: \ + models/svwiki.damaging.gradient_boosting.model \ + models/svwiki.goodfaith.gradient_boosting.model + +svwiki_tuning_reports: \ + tuning_reports/svwiki.damaging.md \ + tuning_reports/svwiki.goodfaith.md + + +############################# Tamil Wikipedia ################################ +# From https://quarry.wmflabs.org/query/20230 +datasets/tawiki.sampled_revisions.20k_2017.json: + wget -qO- https://quarry.wmflabs.org/run/190662/output/0/json-lines?download=true > $@ + +datasets/tawiki.autolabeled_revisions.20k_2017.json: \ + datasets/tawiki.sampled_revisions.20k_2017.json + cat $< | \ + ./utility autolabel --host=https://ta.wikipedia.org \ + --trusted-groups=autopatrolled,bot,bureaucrat,patroller,rollbacker,sysop \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/tawiki.autolabeled_revisions.w_cache.20k_2017.json: \ + datasets/tawiki.autolabeled_revisions.20k_2017.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.tawiki.reverted \ + --host https://ta.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/tawiki.reverted.md: \ + datasets/tawiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.tawiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.015904172328753335" \ + --pop-rate "false=0.9840958276712467" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/tawiki.reverted.gradient_boosting.model: \ + datasets/tawiki.autolabeled_revisions.w_cache.20k_2017.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.tawiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=500' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.015904172328753335" \ + --pop-rate "false=0.9840958276712467" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/tawiki.reverted.md + +tawiki_models: \ + models/tawiki.reverted.gradient_boosting.model + +tawiki_tuning_reports: \ + tuning_reports/tawiki.reverted.md + + +############################# Turkish Wikipedia ################################ +datasets/trwiki.human_labeled_revisions.20k_2015.json: + ./utility fetch_labels \ + https://labels.wmflabs.org/campaigns/trwiki/5/ > $@ -# From https://quarry.wmflabs.org/query/9927 -datasets/jawiki.sampled_revisions.40k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/89016/output/0/json-lines?download=true > $@ +datasets/trwiki.sampled_revisions.20k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/168286/output/0/json-lines?download=true > $@ -datasets/jawiki.autolabeled_revisions.40k_2016.json: \ - datasets/jawiki.sampled_revisions.40k_2016.json +datasets/trwiki.sampled_revisions.20k_2020.json: + wget -qO- http://quarry.wmflabs.org/run/495204/output/0/json-lines?download=true > $@ + +datasets/trwiki.autolabeled_revisions.20k_2020.json: \ + datasets/trwiki.sampled_revisions.20k_2020.json cat $< | \ - ./utility autolabel --host=https://ja.wikipedia.org \ - --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ + ./utility autolabel --host=https://tr.wikipedia.org \ + --trusted-groups=sysop,oversight,bot,rollbacker,checkuser,abusefilter,bureaucrat,flow-bot,interface-admin,interface-editor,patroller \ --trusted-edits=1000 \ --revert-radius=5 \ --verbose > $@ -datasets/jawiki.labeled_revisions.40k_2016.json: \ - datasets/jawiki.human_labeled_revisions.5k_2016.json \ - datasets/jawiki.autolabeled_revisions.40k_2016.json +datasets/trwiki.labeled_revisions.20k_2015.json: \ + datasets/trwiki.human_labeled_revisions.20k_2015.json ./utility merge_labels $^ > $@ -datasets/jawiki.labeled_revisions.w_cache.40k_2016.json: \ - datasets/jawiki.labeled_revisions.40k_2016.json +datasets/trwiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/trwiki.labeled_revisions.20k_2015.json cat $< | \ revscoring extract \ - editquality.feature_lists.jawiki.damaging \ - editquality.feature_lists.jawiki.goodfaith \ - --host https://ja.wikipedia.org \ + editquality.feature_lists.trwiki.damaging \ + editquality.feature_lists.trwiki.goodfaith \ + --host https://tr.wikipedia.org \ --extractors $(max_extractors) \ --verbose > $@ -tuning_reports/jawiki.damaging.md: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json +tuning_reports/trwiki.damaging.md: \ + datasets/trwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.jawiki.damaging \ + editquality.feature_lists.trwiki.damaging \ damaging \ $(damaging_tuning_statistic) \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.010758453070269498" \ - --pop-rate "false=0.9892415469297305" \ + --pop-rate "true=0.0495014425266994" \ + --pop-rate "false=0.9504985574733006" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/jawiki.damaging.gradient_boosting.model: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json +models/trwiki.damaging.gradient_boosting.model: \ + datasets/trwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.jawiki.damaging \ + editquality.feature_lists.trwiki.damaging \ damaging \ - --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=1' \ + --version=$(damaging_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ -p 'max_features="log2"' \ - -p 'min_samples_leaf=3' \ - -p 'n_estimators=300' \ + -p 'n_estimators=700' \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.010758453070269498" \ - --pop-rate "false=0.9892415469297305" \ + --pop-rate "true=0.0495014425266994" \ + --pop-rate "false=0.9504985574733006" \ --center --scale > $@ - revscoring model_info $@ > model_info/jawiki.damaging.md + revscoring model_info $@ > model_info/trwiki.damaging.md -tuning_reports/jawiki.goodfaith.md: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json +tuning_reports/trwiki.goodfaith.md: \ + datasets/trwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.jawiki.goodfaith \ + editquality.feature_lists.trwiki.goodfaith \ goodfaith \ $(goodfaith_tuning_statistic) \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.00461076560154407" \ - --pop-rate "false=0.995389234398456" \ + --pop-rate "true=0.9538897605911829" \ + --pop-rate "false=0.04611023940881709" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/jawiki.goodfaith.gradient_boosting.model: \ - datasets/jawiki.labeled_revisions.w_cache.40k_2016.json +models/trwiki.goodfaith.gradient_boosting.model: \ + datasets/trwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.jawiki.goodfaith \ + editquality.feature_lists.trwiki.goodfaith \ goodfaith \ - --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.1' \ - -p 'max_depth=1' \ + --version=$(goodfaith_major_minor).1 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ -p 'max_features="log2"' \ - -p 'min_samples_leaf=7' \ - -p 'n_estimators=300' \ + -p 'n_estimators=700' \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.00461076560154407" \ - --pop-rate "false=0.995389234398456" \ + --pop-rate "true=0.9538897605911829" \ + --pop-rate "false=0.04611023940881709" \ --center --scale > $@ - revscoring model_info $@ > model_info/jawiki.goodfaith.md + revscoring model_info $@ > model_info/trwiki.goodfaith.md -jawiki_models: \ - models/jawiki.damaging.gradient_boosting.model \ - models/jawiki.goodfaith.gradient_boosting.model +trwiki_models: \ + models/trwiki.damaging.gradient_boosting.model \ + models/trwiki.goodfaith.gradient_boosting.model -jawiki_tuning_reports: \ - tuning_reports/jawiki.damaging.md \ - tuning_reports/jawiki.goodfaith.md +trwiki_tuning_reports: \ + tuning_reports/trwiki.damaging.md \ + tuning_reports/trwiki.goodfaith.md -############################# Korean Wikipedia ################################ -datasets/kowiki.human_labeled_revisions.5k_2016.json: +############################# Ukranian Wikipedia ################################ +datasets/ukwiki.human_labeled_revisions.5k_2015.json: ./utility fetch_labels \ - https://labels.wmflabs.org/campaigns/kowiki/50/ > $@ + https://labels.wmflabs.org/campaigns/ukwiki/11/ > $@ -# From https://quarry.wmflabs.org/query/17645 -datasets/kowiki.sampled_revisions.20k_2016.json: - wget -qO- https://quarry.wmflabs.org/run/165613/output/0/json-lines?download=true > $@ +datasets/ukwiki.sampled_revisions.20k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/48597/output/0/json-lines?download=true > $@ -datasets/kowiki.autolabeled_revisions.20k_2016.json: \ - datasets/kowiki.sampled_revisions.20k_2016.json +datasets/ukwiki.autolabeled_revisions.20k_2015.json: \ + datasets/ukwiki.sampled_revisions.20k_2015.json cat $< | \ - ./utility autolabel --host=https://ko.wikipedia.org \ - --trusted-groups=abusefilter,bot,bureaucrat,checkuser,eliminator,interface-editor,oversight,rollbacker,sysop \ + ./utility autolabel --host=https://uk.wikipedia.org \ + --trusted-groups=abusefilter,arbcom,bureaucrat,checkuser,rollbacker,sysop,bot \ --trusted-edits=1000 \ --revert-radius=5 \ --verbose > $@ -datasets/kowiki.labeled_revisions.20k_2016.json: \ - datasets/kowiki.human_labeled_revisions.5k_2016.json \ - datasets/kowiki.autolabeled_revisions.20k_2016.json +datasets/ukwiki.labeled_revisions.20k_2015.json: \ + datasets/ukwiki.human_labeled_revisions.5k_2015.json \ + datasets/ukwiki.autolabeled_revisions.20k_2015.json ./utility merge_labels $^ > $@ -datasets/kowiki.labeled_revisions.w_cache.20k_2016.json: \ - datasets/kowiki.labeled_revisions.20k_2016.json +datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json: \ + datasets/ukwiki.labeled_revisions.20k_2015.json cat $< | \ revscoring extract \ - editquality.feature_lists.kowiki.damaging \ - editquality.feature_lists.kowiki.goodfaith \ - --host https://ko.wikipedia.org \ + editquality.feature_lists.ukwiki.damaging \ + editquality.feature_lists.ukwiki.goodfaith \ + --host https://uk.wikipedia.org \ --extractors $(max_extractors) \ --verbose > $@ -tuning_reports/kowiki.damaging.md: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json +tuning_reports/ukwiki.damaging.md: \ + datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.kowiki.damaging \ + editquality.feature_lists.ukwiki.damaging \ damaging \ $(damaging_tuning_statistic) \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.038665452792802445" \ - --pop-rate "false=0.9613345472071976" \ + --pop-rate "true=0.022485268272511114" \ + --pop-rate "false=0.9775147317274889" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/kowiki.damaging.gradient_boosting.model: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json +models/ukwiki.damaging.gradient_boosting.model: \ + datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.kowiki.damaging \ + editquality.feature_lists.ukwiki.damaging \ damaging \ - --version=$(damaging_major_minor).0 \ + --version=$(damaging_major_minor).1 \ -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ + -p 'max_depth=5' \ -p 'max_features="log2"' \ -p 'n_estimators=700' \ --label-weight $(damaging_weight) \ - --pop-rate "true=0.038665452792802445" \ - --pop-rate "false=0.9613345472071976" \ + --pop-rate "true=0.022485268272511114" \ + --pop-rate "false=0.9775147317274889" \ --center --scale > $@ - revscoring model_info $@ > model_info/kowiki.damaging.md + revscoring model_info $@ > model_info/ukwiki.damaging.md -tuning_reports/kowiki.goodfaith.md: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json +tuning_reports/ukwiki.goodfaith.md: \ + datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring tune \ config/classifiers.params.yaml \ - editquality.feature_lists.kowiki.goodfaith \ + editquality.feature_lists.ukwiki.goodfaith \ goodfaith \ $(goodfaith_tuning_statistic) \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9807743801210304" \ - --pop-rate "false=0.019225619878969646" \ + --pop-rate "true=0.9853199627830043" \ + --pop-rate "false=0.014680037216995734" \ --center --scale \ --cv-timeout 60 \ --debug > $@ -models/kowiki.goodfaith.gradient_boosting.model: \ - datasets/kowiki.labeled_revisions.w_cache.20k_2016.json +models/ukwiki.goodfaith.gradient_boosting.model: \ + datasets/ukwiki.labeled_revisions.w_cache.20k_2015.json cat $< | \ revscoring cv_train \ revscoring.scoring.models.GradientBoosting \ - editquality.feature_lists.kowiki.goodfaith \ + editquality.feature_lists.ukwiki.goodfaith \ goodfaith \ - --version=$(goodfaith_major_minor).0 \ + --version=$(goodfaith_major_minor).1 \ -p 'learning_rate=0.01' \ - -p 'max_depth=7' \ + -p 'max_depth=5' \ -p 'max_features="log2"' \ -p 'n_estimators=700' \ --label-weight $(goodfaith_weight) \ - --pop-rate "true=0.9807743801210304" \ - --pop-rate "false=0.019225619878969646" \ + --pop-rate "true=0.9853199627830043" \ + --pop-rate "false=0.014680037216995734" \ --center --scale > $@ - revscoring model_info $@ > model_info/kowiki.goodfaith.md + revscoring model_info $@ > model_info/ukwiki.goodfaith.md -kowiki_models: \ - models/kowiki.damaging.gradient_boosting.model \ - models/kowiki.goodfaith.gradient_boosting.model +ukwiki_models: \ + models/ukwiki.damaging.gradient_boosting.model \ + models/ukwiki.goodfaith.gradient_boosting.model + +ukwiki_tuning_reports: \ + tuning_reports/ukwiki.damaging.md \ + tuning_reports/ukwiki.goodfaith.md + + +############################# Urdu Wikipedia ################################ +datasets/urwiki.sampled_revisions.500k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/64277/output/0/json-lines?download=true > $@ + +datasets/urwiki.autolabeled_revisions.500k_2015.json: \ + datasets/urwiki.sampled_revisions.500k_2015.json + cat $< | \ + ./utility autolabel --host=https://ur.wikipedia.org \ + --trusted-groups=bot,bureaucrat,sysop,rollbackers \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/urwiki.revisions_for_review.5k_2015.json: \ + datasets/urwiki.autolabeled_revisions.500k_2015.json + ( \ + cat datasets/urwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/urwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +urwiki_models: + +urwiki_tuning_reports: + +############################# Vietnamese Wikipedia ################################ +datasets/viwiki.sampled_revisions.500k_2015.json: + wget -qO- http://quarry.wmflabs.org/run/65793/output/0/json-lines?download=true > $@ + +datasets/viwiki.autolabeled_revisions.500k_2015.json: \ + datasets/viwiki.sampled_revisions.500k_2015.json + cat $< | \ + ./utility autolabel --host=https://vi.wikipedia.org \ + --trusted-groups=checkuser,bureaucrat,sysop,eliminator,bot \ + --trusted-edits=1000 \ + --revert-radius=5 \ + --verbose > $@ + +datasets/viwiki.revisions_for_review.5k_2015.json: \ + datasets/viwiki.autolabeled_revisions.500k_2015.json + ( \ + cat datasets/viwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (true|"True") | \ + shuf -n 2500; \ + cat datasets/viwiki.autolabeled_revisions.500k_2015.json | grep '"needs_review": (false|"False") | \ + shuf -n 2500 \ + ) | shuf > $@ + +datasets/viwiki.autolabeled_revisions.w_cache.500k_2015.json: \ + datasets/viwiki.autolabeled_revisions.500k_2015.json + cat $< | \ + revscoring extract \ + editquality.feature_lists.viwiki.reverted \ + --host https://vi.wikipedia.org \ + --extractors $(max_extractors) \ + --verbose > $@ + +tuning_reports/viwiki.reverted.md: \ + datasets/viwiki.autolabeled_revisions.w_cache.500k_2015.json + cat $< | \ + revscoring tune \ + config/classifiers.params.yaml \ + editquality.feature_lists.viwiki.reverted \ + reverted_for_damage \ + $(reverted_tuning_statistic) \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.019211042993949594" \ + --pop-rate "false=0.9807889570060504" \ + --center --scale \ + --cv-timeout 60 \ + --debug > $@ + +models/viwiki.reverted.gradient_boosting.model: \ + datasets/viwiki.autolabeled_revisions.w_cache.500k_2015.json + cat $< | \ + revscoring cv_train \ + revscoring.scoring.models.GradientBoosting \ + editquality.feature_lists.viwiki.reverted \ + reverted_for_damage \ + --version=$(reverted_major_minor).0 \ + -p 'learning_rate=0.01' \ + -p 'max_depth=7' \ + -p 'max_features="log2"' \ + -p 'n_estimators=700' \ + --label-weight $(reverted_weight) \ + --pop-rate "true=0.019211042993949594" \ + --pop-rate "false=0.9807889570060504" \ + --center --scale > $@ + + revscoring model_info $@ > model_info/viwiki.reverted.md + +viwiki_models: \ + models/viwiki.reverted.gradient_boosting.model + +viwiki_tuning_reports: \ + tuning_reports/viwiki.reverted.md -kowiki_tuning_reports: \ - tuning_reports/kowiki.damaging.md \ - tuning_reports/kowiki.goodfaith.md ############################# Chinese Wikipedia ################################ datasets/zhwiki.human_labeled_revisions.5k_2016.json: @@ -305,11 +4065,11 @@ models/zhwiki.damaging.gradient_boosting.model: \ editquality.feature_lists.zhwiki.damaging \ damaging \ --version=$(damaging_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=3' \ + -p 'learning_rate=0.1' \ + -p 'max_depth=1' \ -p 'max_features="log2"' \ - -p 'min_samples_leaf=7' \ - -p 'n_estimators=700' \ + -p 'min_samples_leaf=3' \ + -p 'n_estimators=300' \ --label-weight $(damaging_weight) \ --pop-rate "true=0.0405" \ --pop-rate "false=0.9595" \ @@ -340,11 +4100,11 @@ models/zhwiki.goodfaith.gradient_boosting.model: \ editquality.feature_lists.zhwiki.goodfaith \ goodfaith \ --version=$(goodfaith_major_minor).0 \ - -p 'learning_rate=0.01' \ - -p 'max_depth=3' \ + -p 'learning_rate=0.1' \ + -p 'max_depth=1' \ -p 'max_features="log2"' \ - -p 'min_samples_leaf=5' \ - -p 'n_estimators=500' \ + -p 'min_samples_leaf=3' \ + -p 'n_estimators=300' \ --label-weight $(goodfaith_weight) \ --pop-rate "true=0.9682" \ --pop-rate "false=0.03180000000000005" \ @@ -360,3 +4120,4 @@ zhwiki_tuning_reports: \ tuning_reports/zhwiki.damaging.md \ tuning_reports/zhwiki.goodfaith.md + diff --git a/config/wikis/jawiki.yaml b/config/wikis/jawiki.yaml index ce3e7a85..6a044899 100644 --- a/config/wikis/jawiki.yaml +++ b/config/wikis/jawiki.yaml @@ -62,5 +62,5 @@ models: max_depth: 1 max_features: log2 n_estimators: 300 - min_samples_leaf: 7 + min_samples_leaf: 3 diff --git a/config/wikis/kowiki.yaml b/config/wikis/kowiki.yaml index 9c0ee011..686fe960 100644 --- a/config/wikis/kowiki.yaml +++ b/config/wikis/kowiki.yaml @@ -45,10 +45,11 @@ models: cv_train: algorithm: GradientBoosting parameters: - learning_rate: 0.01 - max_depth: 7 + learning_rate: 0.5 + max_depth: 1 max_features: log2 - n_estimators: 700 + n_estimators: 500 + min_samples_leaf: 5 goodfaith: observations: labeled_revisions.w_cache.20k_2016 label: goodfaith @@ -60,4 +61,5 @@ models: learning_rate: 0.01 max_depth: 7 max_features: log2 - n_estimators: 700 + n_estimators: 500 + min_samples_leaf: 13 diff --git a/config/wikis/zhwiki.yaml b/config/wikis/zhwiki.yaml index aa4ecce1..4b21a8a5 100644 --- a/config/wikis/zhwiki.yaml +++ b/config/wikis/zhwiki.yaml @@ -43,11 +43,11 @@ models: cv_train: algorithm: GradientBoosting parameters: - learning_rate: 0.01 - max_depth: 3 + learning_rate: 0.1 + max_depth: 1 max_features: log2 - n_estimators: 700 - min_samples_leaf: 7 + n_estimators: 300 + min_samples_leaf: 3 goodfaith: observations: labeled_revisions.w_cache.100k_2016 label: goodfaith @@ -56,8 +56,8 @@ models: cv_train: algorithm: GradientBoosting parameters: - learning_rate: 0.01 - max_depth: 3 + learning_rate: 0.1 + max_depth: 1 max_features: log2 - n_estimators: 500 - min_samples_leaf: 5 + n_estimators: 300 + min_samples_leaf: 3 diff --git a/editquality/feature_lists/jawiki.py b/editquality/feature_lists/jawiki.py index 86dfe581..a86906f1 100644 --- a/editquality/feature_lists/jawiki.py +++ b/editquality/feature_lists/jawiki.py @@ -21,11 +21,10 @@ ] damaging = wikipedia.page + \ - mediawiki.user_rights + \ + wikitext.parent_cjk + wikitext.diff_cjk + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + \ - enwiki.badwords + enwiki.informals + \ - wikitext.parent_cjk + wikitext.diff_cjk + enwiki.badwords + enwiki.informals "Damaging Features" reverted = damaging diff --git a/editquality/feature_lists/kowiki.py b/editquality/feature_lists/kowiki.py index bd1b7d5a..408d0ba7 100644 --- a/editquality/feature_lists/kowiki.py +++ b/editquality/feature_lists/kowiki.py @@ -21,11 +21,10 @@ ] damaging = wikipedia.page + \ - mediawiki.user_rights + \ + wikitext.parent_cjk + wikitext.diff_cjk + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + \ - enwiki.badwords + enwiki.informals + enwiki.dict_words + \ - wikitext.parent_cjk + wikitext.diff_cjk + enwiki.badwords + enwiki.informals "Damaging Features" reverted = damaging diff --git a/editquality/feature_lists/wikitext.py b/editquality/feature_lists/wikitext.py index 5dc844a4..90db0f21 100644 --- a/editquality/feature_lists/wikitext.py +++ b/editquality/feature_lists/wikitext.py @@ -32,35 +32,21 @@ def _process_new_longest(p_longest, r_longest): max(wikitext.revision.parent.tokens, 1), name="revision.parent.markups_per_token"), ] -""" + parent_cjk = [ log(wikitext.revision.parent.cjk_chars + 1), log(wikitext.revision.parent.cjk.cjks + 1), - div(wikitext.revision.parent.cjk_chars, - max(wikitext.revision.parent.cjk.cjks, 1), - name="revision.parent.cjk.cjkchars_per_cjkwordthing"), - div(wikitext.revision.parent.cjk.cjks, - max(wikitext.revision.parent.cjk.tokens, 1), - name="revision.parent.cjk.cjkwordthings_per_token"), -] -""" -parent_cjk = [ log(wikitext.revision.parent.headings + 1), log(wikitext.revision.parent.wikilinks + 1), log(wikitext.revision.parent.external_links + 1), log(wikitext.revision.parent.templates + 1), log(wikitext.revision.parent.ref_tags + 1), - log(wikitext.revision.parent.cjk_chars + 1), - log(wikitext.revision.parent.cjk.cjks + 1), div(wikitext.revision.parent.cjk_chars, max(wikitext.revision.parent.cjk.cjks, 1), name="revision.parent.cjk.cjkchars_per_cjkwordthing"), div(wikitext.revision.parent.cjk.cjks, max(wikitext.revision.parent.cjk.tokens, 1), name="revision.parent.cjk.cjkwordthings_per_token"), -# div(wikitext.revision.parent.markups, -# max(wikitext.revision.parent.cjk.cjks, 1), -# name="revision.parent.markups_per_cjkwordthing"), div(wikitext.revision.parent.markups, max(wikitext.revision.parent.cjk.tokens, 1), name="revision.parent.markups_per_token"), @@ -124,19 +110,7 @@ def _process_new_longest(p_longest, r_longest): depends_on=[wikitext.revision.parent.longest_repeated_char, wikitext.revision.longest_repeated_char]) ] -""" -diff_cjk = [ - sub(wikitext.revision.cjk_chars, - wikitext.revision.parent.cjk_chars, - name="revision.diff.cjkchars_change"), - sub(wikitext.revision.cjk.tokens, - wikitext.revision.parent.cjk.tokens, - name="revision.diff.cjk.tokens_change_inc_cjktokens"), - sub(wikitext.revision.cjk.cjks, - wikitext.revision.parent.cjk.cjks, - name="revision.diff.cjk.cjkwordthings_change"), -] -""" + diff_cjk = [ wikitext.revision.diff.markup_delta_sum, wikitext.revision.diff.markup_delta_increase, diff --git a/editquality/feature_lists/zhwiki.py b/editquality/feature_lists/zhwiki.py index 1455e913..5fc6f0b5 100644 --- a/editquality/feature_lists/zhwiki.py +++ b/editquality/feature_lists/zhwiki.py @@ -29,11 +29,10 @@ ] damaging = wikipedia.page + \ - mediawiki.user_rights + \ + wikitext.parent_cjk + wikitext.diff_cjk + mediawiki.user_rights + \ mediawiki.protected_user + mediawiki.comment + \ badwords + informals + words_to_watch + \ - enwiki.badwords + enwiki.informals + \ - wikitext.parent_cjk + wikitext.diff_cjk + enwiki.badwords + enwiki.informals "Damaging Features" reverted = damaging diff --git a/model_info/jawiki.damaging.md b/model_info/jawiki.damaging.md index 47c89155..0841b92d 100644 --- a/model_info/jawiki.damaging.md +++ b/model_info/jawiki.damaging.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'min_weight_fraction_leaf': 0.0, 'verbose': 0, 'min_impurity_decrease': 0.0, 'max_features': 'log2', 'loss': 'deviance', 'validation_fraction': 0.1, 'criterion': 'friedman_mse', 'labels': [True, False], 'warm_start': False, 'tol': 0.0001, 'subsample': 1.0, 'label_weights': OrderedDict([(True, 10)]), 'scale': True, 'presort': 'deprecated', 'max_leaf_nodes': None, 'random_state': None, 'min_samples_leaf': 3, 'min_impurity_split': None, 'population_rates': None, 'max_depth': 1, 'center': True, 'min_samples_split': 2, 'n_estimators': 300, 'learning_rate': 0.1, 'multilabel': False, 'n_iter_no_change': None, 'init': None, 'ccp_alpha': 0.0} + - params: {'random_state': None, 'multilabel': False, 'scale': True, 'min_samples_leaf': 3, 'max_features': 'log2', 'population_rates': None, 'label_weights': OrderedDict([(True, 10)]), 'max_depth': 1, 'init': None, 'min_impurity_decrease': 0.0, 'warm_start': False, 'learning_rate': 0.1, 'subsample': 1.0, 'min_impurity_split': None, 'min_weight_fraction_leaf': 0.0, 'ccp_alpha': 0.0, 'loss': 'deviance', 'tol': 0.0001, 'criterion': 'friedman_mse', 'labels': [True, False], 'n_estimators': 300, 'validation_fraction': 0.1, 'max_leaf_nodes': None, 'min_samples_split': 2, 'center': True, 'presort': 'deprecated', 'n_iter_no_change': None, 'verbose': 0} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -21,8 +21,8 @@ Model Information: counts (n=27643): label n ~True ~False ------- ----- --- ------- -------- - True 298 --> 39 259 - False 27345 --> 222 27123 + True 298 --> 40 258 + False 27345 --> 214 27131 rates: True False ---------- ------ ------- @@ -36,46 +36,46 @@ Model Information: True False ------ ------- 0.991 0.009 - recall (micro=0.983, macro=0.561): + recall (micro=0.983, macro=0.563): True False ------ ------- - 0.131 0.992 - !recall (micro=0.14, macro=0.561): + 0.134 0.992 + !recall (micro=0.143, macro=0.563): True False ------ ------- - 0.992 0.131 - precision (micro=0.982, macro=0.57): + 0.992 0.134 + precision (micro=0.982, macro=0.574): True False ------ ------- - 0.149 0.991 - !precision (micro=0.158, macro=0.57): + 0.157 0.991 + !precision (micro=0.166, macro=0.574): True False ------ ------- - 0.991 0.149 - f1 (micro=0.982, macro=0.565): + 0.991 0.157 + f1 (micro=0.982, macro=0.568): True False ------ ------- - 0.139 0.991 - !f1 (micro=0.149, macro=0.565): + 0.145 0.991 + !f1 (micro=0.154, macro=0.568): True False ------ ------- - 0.991 0.139 + 0.991 0.145 accuracy (micro=0.983, macro=0.983): True False ------ ------- 0.983 0.983 - fpr (micro=0.86, macro=0.439): + fpr (micro=0.857, macro=0.437): True False ------ ------- - 0.008 0.869 - roc_auc (micro=0.851, macro=0.851): + 0.008 0.866 + roc_auc (micro=0.849, macro=0.85): True False ------ ------- - 0.851 0.851 - pr_auc (micro=0.988, macro=0.538): + 0.85 0.849 + pr_auc (micro=0.988, macro=0.539): True False ------ ------- - 0.078 0.998 + 0.081 0.998 - - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} diff --git a/model_info/jawiki.goodfaith.md b/model_info/jawiki.goodfaith.md index 654d9acb..49c83171 100644 --- a/model_info/jawiki.goodfaith.md +++ b/model_info/jawiki.goodfaith.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'presort': 'deprecated', 'validation_fraction': 0.1, 'learning_rate': 0.1, 'tol': 0.0001, 'ccp_alpha': 0.0, 'multilabel': False, 'min_samples_leaf': 7, 'max_depth': 1, 'labels': [True, False], 'min_samples_split': 2, 'criterion': 'friedman_mse', 'verbose': 0, 'max_features': 'log2', 'center': True, 'population_rates': None, 'loss': 'deviance', 'min_impurity_split': None, 'init': None, 'random_state': None, 'warm_start': False, 'max_leaf_nodes': None, 'scale': True, 'subsample': 1.0, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'n_estimators': 300, 'min_weight_fraction_leaf': 0.0, 'label_weights': OrderedDict([(False, 10)])} + - params: {'max_leaf_nodes': None, 'n_estimators': 300, 'scale': True, 'random_state': None, 'init': None, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'center': True, 'labels': [True, False], 'verbose': 0, 'max_depth': 1, 'criterion': 'friedman_mse', 'max_features': 'log2', 'tol': 0.0001, 'validation_fraction': 0.1, 'multilabel': False, 'ccp_alpha': 0.0, 'population_rates': None, 'n_iter_no_change': None, 'label_weights': OrderedDict([(False, 10)]), 'loss': 'deviance', 'learning_rate': 0.1, 'min_impurity_decrease': 0.0, 'presort': 'deprecated', 'min_impurity_split': None, 'min_samples_leaf': 7, 'subsample': 1.0, 'warm_start': False} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -21,7 +21,7 @@ Model Information: counts (n=27643): label n ~True ~False ------- ----- --- ------- -------- - True 27516 --> 27472 44 + True 27516 --> 27477 39 False 127 --> 121 6 rates: True False @@ -39,11 +39,11 @@ Model Information: recall (micro=0.052, macro=0.523): True False ------ ------- - 0.998 0.047 + 0.999 0.047 !recall (micro=0.994, macro=0.523): True False ------ ------- - 0.047 0.998 + 0.047 0.999 precision (micro=0.995, macro=0.502): True False ------ ------- @@ -67,15 +67,15 @@ Model Information: fpr (micro=0.006, macro=0.477): True False ------ ------- - 0.953 0.002 - roc_auc (micro=0.821, macro=0.822): + 0.953 0.001 + roc_auc (micro=0.82, macro=0.82): True False ------ ------- - 0.822 0.821 - pr_auc (micro=0.985, macro=0.541): + 0.821 0.82 + pr_auc (micro=0.985, macro=0.543): True False ------ ------- - 0.093 0.989 + 0.097 0.989 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}}}} + - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/kowiki.damaging.md b/model_info/kowiki.damaging.md index fb13a478..5db9b416 100644 --- a/model_info/kowiki.damaging.md +++ b/model_info/kowiki.damaging.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'max_depth': 7, 'subsample': 1.0, 'verbose': 0, 'max_leaf_nodes': None, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'warm_start': False, 'min_samples_split': 2, 'population_rates': None, 'init': None, 'min_weight_fraction_leaf': 0.0, 'scale': True, 'loss': 'deviance', 'min_impurity_split': None, 'presort': 'deprecated', 'ccp_alpha': 0.0, 'multilabel': False, 'label_weights': OrderedDict([(True, 10)]), 'criterion': 'friedman_mse', 'labels': [True, False], 'max_features': 'log2', 'center': True, 'learning_rate': 0.01, 'tol': 0.0001, 'n_estimators': 700, 'random_state': None, 'validation_fraction': 0.1, 'min_samples_leaf': 1} + - params: {'validation_fraction': 0.1, 'n_iter_no_change': None, 'min_impurity_decrease': 0.0, 'min_impurity_split': None, 'learning_rate': 0.01, 'verbose': 0, 'min_samples_split': 2, 'max_depth': 7, 'min_weight_fraction_leaf': 0.0, 'max_leaf_nodes': None, 'ccp_alpha': 0.0, 'warm_start': False, 'population_rates': None, 'max_features': 'log2', 'min_samples_leaf': 1, 'criterion': 'friedman_mse', 'multilabel': False, 'scale': True, 'labels': [True, False], 'center': True, 'tol': 0.0001, 'subsample': 1.0, 'label_weights': OrderedDict([(True, 10)]), 'random_state': None, 'n_estimators': 700, 'presort': 'deprecated', 'init': None, 'loss': 'deviance'} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -21,61 +21,61 @@ Model Information: counts (n=19424): label n ~True ~False ------- ----- --- ------- -------- - True 923 --> 493 430 - False 18501 --> 1653 16848 + True 923 --> 490 433 + False 18501 --> 1687 16814 rates: True False ---------- ------ ------- sample 0.048 0.952 population 0.039 0.961 - match_rate (micro=0.863, macro=0.5): + match_rate (micro=0.862, macro=0.5): True False ------ ------- - 0.107 0.893 - filter_rate (micro=0.137, macro=0.5): + 0.108 0.892 + filter_rate (micro=0.138, macro=0.5): True False ------ ------- - 0.893 0.107 - recall (micro=0.896, macro=0.722): + 0.892 0.108 + recall (micro=0.894, macro=0.72): True False ------ ------- - 0.534 0.911 - !recall (micro=0.549, macro=0.722): + 0.531 0.909 + !recall (micro=0.545, macro=0.72): True False ------ ------- - 0.911 0.534 - precision (micro=0.949, macro=0.587): + 0.909 0.531 + precision (micro=0.949, macro=0.585): True False ------ ------- - 0.194 0.98 - !precision (micro=0.224, macro=0.587): + 0.19 0.98 + !precision (micro=0.22, macro=0.585): True False ------ ------- - 0.98 0.194 - f1 (micro=0.918, macro=0.614): + 0.98 0.19 + f1 (micro=0.917, macro=0.611): True False ------ ------- - 0.284 0.944 - !f1 (micro=0.31, macro=0.614): + 0.28 0.943 + !f1 (micro=0.305, macro=0.611): True False ------ ------- - 0.944 0.284 - accuracy (micro=0.896, macro=0.896): + 0.943 0.28 + accuracy (micro=0.894, macro=0.894): True False ------ ------- - 0.896 0.896 - fpr (micro=0.451, macro=0.278): + 0.894 0.894 + fpr (micro=0.455, macro=0.28): True False ------ ------- - 0.089 0.466 - roc_auc (micro=0.883, macro=0.884): + 0.091 0.469 + roc_auc (micro=0.883, macro=0.883): True False ------ ------- - 0.885 0.883 + 0.884 0.883 pr_auc (micro=0.968, macro=0.653): True False ------ ------- 0.311 0.995 - - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'type': 'object'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/kowiki.goodfaith.md b/model_info/kowiki.goodfaith.md index 7b6d2e9d..bc8dcacf 100644 --- a/model_info/kowiki.goodfaith.md +++ b/model_info/kowiki.goodfaith.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'ccp_alpha': 0.0, 'min_impurity_split': None, 'subsample': 1.0, 'max_depth': 7, 'max_leaf_nodes': None, 'label_weights': OrderedDict([(False, 10)]), 'presort': 'deprecated', 'min_impurity_decrease': 0.0, 'min_samples_split': 2, 'n_estimators': 700, 'max_features': 'log2', 'verbose': 0, 'center': True, 'warm_start': False, 'scale': True, 'loss': 'deviance', 'validation_fraction': 0.1, 'n_iter_no_change': None, 'multilabel': False, 'population_rates': None, 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.01, 'tol': 0.0001, 'random_state': None, 'criterion': 'friedman_mse', 'min_samples_leaf': 1, 'init': None, 'labels': [True, False]} + - params: {'criterion': 'friedman_mse', 'subsample': 1.0, 'min_impurity_decrease': 0.0, 'min_samples_split': 2, 'min_impurity_split': None, 'learning_rate': 0.01, 'max_features': 'log2', 'scale': True, 'population_rates': None, 'verbose': 0, 'n_iter_no_change': None, 'ccp_alpha': 0.0, 'multilabel': False, 'loss': 'deviance', 'n_estimators': 700, 'warm_start': False, 'center': True, 'init': None, 'labels': [True, False], 'max_leaf_nodes': None, 'max_depth': 7, 'min_weight_fraction_leaf': 0.0, 'min_samples_leaf': 1, 'tol': 0.0001, 'label_weights': OrderedDict([(False, 10)]), 'validation_fraction': 0.1, 'random_state': None, 'presort': 'deprecated'} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -21,61 +21,61 @@ Model Information: counts (n=19424): label n ~True ~False ------- ----- --- ------- -------- - True 18798 --> 18355 443 - False 626 --> 413 213 + True 18798 --> 18364 434 + False 626 --> 408 218 rates: True False ---------- ------ ------- sample 0.968 0.032 population 0.981 0.019 - match_rate (micro=0.952, macro=0.5): + match_rate (micro=0.953, macro=0.5): True False ------ ------- - 0.97 0.03 - filter_rate (micro=0.048, macro=0.5): + 0.971 0.029 + filter_rate (micro=0.047, macro=0.5): True False ------ ------- - 0.03 0.97 - recall (micro=0.964, macro=0.658): + 0.029 0.971 + recall (micro=0.965, macro=0.663): True False ------ ------- - 0.976 0.34 - !recall (micro=0.352, macro=0.658): + 0.977 0.348 + !recall (micro=0.36, macro=0.663): True False ------ ------- - 0.34 0.976 - precision (micro=0.972, macro=0.604): + 0.348 0.977 + precision (micro=0.973, macro=0.608): True False ------ ------- - 0.987 0.221 - !precision (micro=0.235, macro=0.604): + 0.987 0.228 + !precision (micro=0.243, macro=0.608): True False ------ ------- - 0.221 0.987 - f1 (micro=0.968, macro=0.625): + 0.228 0.987 + f1 (micro=0.968, macro=0.629): True False ------ ------- - 0.982 0.268 - !f1 (micro=0.281, macro=0.625): + 0.982 0.276 + !f1 (micro=0.289, macro=0.629): True False ------ ------- - 0.268 0.982 - accuracy (micro=0.964, macro=0.964): + 0.276 0.982 + accuracy (micro=0.965, macro=0.965): True False ------ ------- - 0.964 0.964 - fpr (micro=0.648, macro=0.342): + 0.965 0.965 + fpr (micro=0.64, macro=0.337): True False ------ ------- - 0.66 0.024 - roc_auc (micro=0.892, macro=0.893): + 0.652 0.023 + roc_auc (micro=0.893, macro=0.893): True False ------ ------- - 0.892 0.893 - pr_auc (micro=0.983, macro=0.622): + 0.893 0.893 + pr_auc (micro=0.983, macro=0.625): True False ------ ------- - 0.998 0.247 + 0.997 0.253 - - score_schema: {'title': 'Scikit learn-based classifier score with probability', 'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/zhwiki.damaging.md b/model_info/zhwiki.damaging.md index b5d730cf..3588df94 100644 --- a/model_info/zhwiki.damaging.md +++ b/model_info/zhwiki.damaging.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'subsample': 1.0, 'criterion': 'friedman_mse', 'random_state': None, 'population_rates': None, 'min_impurity_split': None, 'center': True, 'ccp_alpha': 0.0, 'labels': [True, False], 'tol': 0.0001, 'n_estimators': 700, 'init': None, 'max_leaf_nodes': None, 'presort': 'deprecated', 'scale': True, 'max_depth': 3, 'label_weights': OrderedDict([(True, 10)]), 'validation_fraction': 0.1, 'verbose': 0, 'warm_start': False, 'n_iter_no_change': None, 'learning_rate': 0.01, 'loss': 'deviance', 'max_features': 'log2', 'min_samples_leaf': 7, 'multilabel': False, 'min_weight_fraction_leaf': 0.0, 'min_impurity_decrease': 0.0, 'min_samples_split': 2} + - params: {'min_impurity_split': None, 'center': True, 'min_samples_split': 2, 'max_features': 'log2', 'init': None, 'population_rates': None, 'loss': 'deviance', 'min_samples_leaf': 7, 'labels': [True, False], 'min_weight_fraction_leaf': 0.0, 'learning_rate': 0.01, 'min_impurity_decrease': 0.0, 'scale': True, 'warm_start': False, 'n_iter_no_change': None, 'label_weights': OrderedDict([(True, 10)]), 'multilabel': False, 'verbose': 0, 'max_leaf_nodes': None, 'max_depth': 3, 'random_state': None, 'tol': 0.0001, 'presort': 'deprecated', 'ccp_alpha': 0.0, 'subsample': 1.0, 'validation_fraction': 0.1, 'criterion': 'friedman_mse', 'n_estimators': 700} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -21,8 +21,8 @@ Model Information: counts (n=68760): label n ~True ~False ------- ----- --- ------- -------- - True 352 --> 150 202 - False 68408 --> 827 67581 + True 352 --> 151 201 + False 68408 --> 785 67623 rates: True False ---------- ------ ------- @@ -31,51 +31,51 @@ Model Information: match_rate (micro=0.933, macro=0.5): True False ------ ------- - 0.029 0.971 + 0.028 0.972 filter_rate (micro=0.067, macro=0.5): True False ------ ------- - 0.971 0.029 - recall (micro=0.965, macro=0.707): + 0.972 0.028 + recall (micro=0.966, macro=0.709): True False ------ ------- - 0.426 0.988 - !recall (micro=0.449, macro=0.707): + 0.429 0.989 + !recall (micro=0.452, macro=0.709): True False ------ ------- - 0.988 0.426 - precision (micro=0.961, macro=0.787): + 0.989 0.429 + precision (micro=0.961, macro=0.794): True False ------ ------- - 0.598 0.976 - !precision (micro=0.613, macro=0.787): + 0.612 0.976 + !precision (micro=0.627, macro=0.794): True False ------ ------- - 0.976 0.598 - f1 (micro=0.962, macro=0.74): + 0.976 0.612 + f1 (micro=0.963, macro=0.743): True False ------ ------- - 0.498 0.982 - !f1 (micro=0.517, macro=0.74): + 0.504 0.982 + !f1 (micro=0.524, macro=0.743): True False ------ ------- - 0.982 0.498 - accuracy (micro=0.965, macro=0.965): + 0.982 0.504 + accuracy (micro=0.966, macro=0.966): True False ------ ------- - 0.965 0.965 - fpr (micro=0.551, macro=0.293): + 0.966 0.966 + fpr (micro=0.548, macro=0.291): True False ------ ------- - 0.012 0.574 - roc_auc (micro=0.88, macro=0.879): + 0.011 0.571 + roc_auc (micro=0.877, macro=0.877): True False ------ ------- - 0.878 0.88 - pr_auc (micro=0.97, macro=0.722): + 0.877 0.877 + pr_auc (micro=0.97, macro=0.723): True False ------ ------- - 0.452 0.992 + 0.454 0.992 - - score_schema: {'properties': {'probability': {'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object'}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}}, 'title': 'Scikit learn-based classifier score with probability', 'type': 'object'} + - score_schema: {'type': 'object', 'properties': {'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/model_info/zhwiki.goodfaith.md b/model_info/zhwiki.goodfaith.md index 424c8ccf..e2180d3d 100644 --- a/model_info/zhwiki.goodfaith.md +++ b/model_info/zhwiki.goodfaith.md @@ -1,7 +1,7 @@ Model Information: - type: GradientBoosting - version: 0.5.0 - - params: {'max_features': 'log2', 'min_impurity_decrease': 0.0, 'random_state': None, 'population_rates': None, 'min_samples_leaf': 5, 'multilabel': False, 'validation_fraction': 0.1, 'ccp_alpha': 0.0, 'min_samples_split': 2, 'loss': 'deviance', 'learning_rate': 0.01, 'labels': [True, False], 'verbose': 0, 'tol': 0.0001, 'max_depth': 3, 'n_estimators': 500, 'criterion': 'friedman_mse', 'scale': True, 'min_weight_fraction_leaf': 0.0, 'subsample': 1.0, 'min_impurity_split': None, 'presort': 'deprecated', 'warm_start': False, 'label_weights': OrderedDict([(False, 10)]), 'center': True, 'max_leaf_nodes': None, 'n_iter_no_change': None, 'init': None} + - params: {'ccp_alpha': 0.0, 'population_rates': None, 'min_impurity_split': None, 'max_features': 'log2', 'min_impurity_decrease': 0.0, 'multilabel': False, 'scale': True, 'subsample': 1.0, 'min_samples_leaf': 5, 'min_weight_fraction_leaf': 0.0, 'center': True, 'criterion': 'friedman_mse', 'tol': 0.0001, 'random_state': None, 'n_estimators': 500, 'n_iter_no_change': None, 'presort': 'deprecated', 'max_depth': 3, 'learning_rate': 0.01, 'verbose': 0, 'warm_start': False, 'labels': [True, False], 'validation_fraction': 0.1, 'max_leaf_nodes': None, 'label_weights': OrderedDict([(False, 10)]), 'init': None, 'min_samples_split': 2, 'loss': 'deviance'} Environment: - revscoring_version: '2.9.3' - platform: 'Linux-4.9.0-8-amd64-x86_64-with-debian-9.4' @@ -21,61 +21,61 @@ Model Information: counts (n=68760): label n ~True ~False ------- ----- --- ------- -------- - True 68497 --> 68086 411 - False 263 --> 189 74 + True 68497 --> 67974 523 + False 263 --> 177 86 rates: True False ---------- ------ ------- sample 0.996 0.004 population 0.968 0.032 - match_rate (micro=0.954, macro=0.5): + match_rate (micro=0.952, macro=0.5): True False ------ ------- - 0.985 0.015 - filter_rate (micro=0.046, macro=0.5): + 0.982 0.018 + filter_rate (micro=0.048, macro=0.5): True False ------ ------- - 0.015 0.985 - recall (micro=0.971, macro=0.638): + 0.018 0.982 + recall (micro=0.971, macro=0.66): True False ------ ------- - 0.994 0.281 - !recall (micro=0.304, macro=0.638): + 0.992 0.327 + !recall (micro=0.348, macro=0.66): True False ------ ------- - 0.281 0.994 - precision (micro=0.965, macro=0.792): + 0.327 0.992 + precision (micro=0.966, macro=0.781): True False ------ ------- - 0.977 0.606 - !precision (micro=0.618, macro=0.792): + 0.978 0.584 + !precision (micro=0.597, macro=0.781): True False ------ ------- - 0.606 0.977 - f1 (micro=0.966, macro=0.685): + 0.584 0.978 + f1 (micro=0.967, macro=0.702): True False ------ ------- - 0.985 0.384 - !f1 (micro=0.403, macro=0.685): + 0.985 0.419 + !f1 (micro=0.437, macro=0.702): True False ------ ------- - 0.384 0.985 + 0.419 0.985 accuracy (micro=0.971, macro=0.971): True False ------ ------- 0.971 0.971 - fpr (micro=0.696, macro=0.362): + fpr (micro=0.652, macro=0.34): True False ------ ------- - 0.719 0.006 - roc_auc (micro=0.903, macro=0.902): + 0.673 0.008 + roc_auc (micro=0.902, macro=0.902): True False ------ ------- - 0.903 0.901 + 0.902 0.901 pr_auc (micro=0.978, macro=0.719): True False ------ ------- - 0.996 0.442 + 0.996 0.443 - - score_schema: {'type': 'object', 'properties': {'prediction': {'type': 'boolean', 'description': 'The most likely label predicted by the estimator'}, 'probability': {'type': 'object', 'properties': {'false': {'type': 'number'}, 'true': {'type': 'number'}}, 'description': 'A mapping of probabilities onto each of the potential output labels'}}, 'title': 'Scikit learn-based classifier score with probability'} + - score_schema: {'type': 'object', 'properties': {'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'boolean'}, 'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'true': {'type': 'number'}, 'false': {'type': 'number'}}}}, 'title': 'Scikit learn-based classifier score with probability'} diff --git a/models/jawiki.damaging.gradient_boosting.model b/models/jawiki.damaging.gradient_boosting.model index f82bf477..a6a4ac9e 100644 --- a/models/jawiki.damaging.gradient_boosting.model +++ b/models/jawiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:6d8dd38dd004517d4b20eff181561a264643f80fb224778afbf3365a7d9e096d -size 442193 +oid sha256:821edf95e498f0aef2c3f1bada104caf900f70a748f4a76f22c8becb0bf5c0c0 +size 443156 diff --git a/models/jawiki.goodfaith.gradient_boosting.model b/models/jawiki.goodfaith.gradient_boosting.model index 59352f64..700a7af1 100644 --- a/models/jawiki.goodfaith.gradient_boosting.model +++ b/models/jawiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:d77a6650126e4b7e08ceaddba5861db23aafad68302d30bdb8386c281c17fbc0 -size 388649 +oid sha256:03bc77a10bae972bcd7fc9f338b9cb763eaf9f3cef2fdf3c9b46baf2df53694f +size 387299 diff --git a/models/kowiki.damaging.gradient_boosting.model b/models/kowiki.damaging.gradient_boosting.model index 3f273dd8..bac95c53 100644 --- a/models/kowiki.damaging.gradient_boosting.model +++ b/models/kowiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:0ec901899d208b9016e50b57d2f7f30bb704c6fd38e744ca99d576199c3dc918 -size 9828657 +oid sha256:d45d398ae872f0eef5f58fe5458b42ca88e9fec9cd6c1c3de2cbe38c8df2c19c +size 9914223 diff --git a/models/kowiki.goodfaith.gradient_boosting.model b/models/kowiki.goodfaith.gradient_boosting.model index 592545a8..2dac7970 100644 --- a/models/kowiki.goodfaith.gradient_boosting.model +++ b/models/kowiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:52a00aca860339163bb98b010c237241c35a2fc03f89ff182887a25428a34f6a -size 9828662 +oid sha256:0014495fee137773539b5272899a547d5cf27b0336ba5939018d872e81f00af8 +size 9797133 diff --git a/models/zhwiki.damaging.gradient_boosting.model b/models/zhwiki.damaging.gradient_boosting.model index a5f3573d..7cfb7280 100644 --- a/models/zhwiki.damaging.gradient_boosting.model +++ b/models/zhwiki.damaging.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:9c7a4029fa77b08580a12b1b1529979f24291c3397515b2763f44c605b57f18a -size 1194657 +oid sha256:61b89d5f169b305702f6207ced72769f934a37a1e2acad03fa7ac8d87df92a0a +size 1205841 diff --git a/models/zhwiki.goodfaith.gradient_boosting.model b/models/zhwiki.goodfaith.gradient_boosting.model index dfb2031c..ed7d9d95 100644 --- a/models/zhwiki.goodfaith.gradient_boosting.model +++ b/models/zhwiki.goodfaith.gradient_boosting.model @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:037c0007ec5f3d73249c90b118c4ccd1bdda3d54a7eb5669687f0cf607a386d5 -size 946057 +oid sha256:5ed536b2c155ad5976782026376af4304c1a89c035d44d237169e886412624c8 +size 920412 diff --git a/tuning_reports/fawiki.damaging.md b/tuning_reports/fawiki.damaging.md new file mode 100644 index 00000000..aea112fa --- /dev/null +++ b/tuning_reports/fawiki.damaging.md @@ -0,0 +1,439 @@ +# Model tuning report +- Revscoring version: 2.9.3 +- Features: editquality.feature_lists.fawiki.damaging +- Date: 2021-02-08T08:43:50.924014 +- Observations: 38306 +- Labels: [true, false] +- Statistic: roc_auc.labels.true (maximize) +- Folds: 5 + +# Top scoring configurations +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9781 | | +| GradientBoosting | 0.9656 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| GradientBoosting | 0.9656 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| GradientBoosting | 0.9656 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| GradientBoosting | 0.9653 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| GradientBoosting | 0.9653 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| GradientBoosting | 0.9653 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| GradientBoosting | 0.9652 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| GradientBoosting | 0.9652 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| GradientBoosting | 0.9651 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | + +# Models +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8613 | | + +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.9149 | penalty="l2", C=10 | +| 0.9138 | penalty="l2", C=0.1 | +| 0.9125 | penalty="l2", C=1 | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9636 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | +| 0.9635 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=13 | +| 0.9635 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | +| 0.9634 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | +| 0.9634 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | +| 0.9634 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=7 | +| 0.9634 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | +| 0.9632 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | +| 0.963 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | +| 0.963 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | +| 0.963 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | +| 0.9629 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | +| 0.9629 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | +| 0.9628 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | +| 0.9622 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | +| 0.9621 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | +| 0.962 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | +| 0.9619 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=5 | +| 0.9618 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | +| 0.9618 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=7 | +| 0.9618 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=13 | +| 0.9617 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | +| 0.9616 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | +| 0.9615 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | +| 0.9614 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | +| 0.9614 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | +| 0.9614 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | +| 0.9612 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | +| 0.961 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | +| 0.961 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | +| 0.961 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=3 | +| 0.961 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | +| 0.961 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | +| 0.9609 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | +| 0.9608 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | +| 0.9608 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | +| 0.9608 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | +| 0.9602 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=1 | +| 0.96 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | +| 0.9592 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | +| 0.9591 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | +| 0.9591 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | +| 0.959 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | +| 0.959 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | +| 0.9587 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | +| 0.9586 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | +| 0.9583 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | +| 0.9579 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | +| 0.9578 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | +| 0.9577 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | +| 0.9569 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | +| 0.9568 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | +| 0.9565 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | +| 0.9544 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | +| 0.9542 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | +| 0.954 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | +| 0.9534 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | +| 0.951 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | +| 0.951 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | +| 0.9498 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | +| 0.9488 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | +| 0.9485 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | +| 0.9481 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | +| 0.9448 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | +| 0.9414 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | +| 0.9365 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | +| 0.934 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | +| 0.9303 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | +| 0.895 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | +| 0.8889 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9656 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9656 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9656 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.9653 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.9653 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9653 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9652 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.9652 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9651 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9651 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.9651 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.9651 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.965 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.965 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.965 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.965 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.965 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.9649 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.9649 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9649 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.9649 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.9649 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.9648 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9648 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.9648 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.9648 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.9648 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9648 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.9648 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9648 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9648 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.9647 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.9646 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.9646 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.9646 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9646 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9645 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.9645 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9645 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9644 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.9643 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.9643 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.9643 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.9642 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.9642 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.9642 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.9642 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.9642 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9642 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.9641 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.9641 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.9641 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.9641 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.964 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.964 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.964 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9639 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.9639 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.9639 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9639 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.9639 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.9639 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9639 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9638 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9638 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.9638 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9638 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9638 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.9638 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.9637 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.9637 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.9637 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9637 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.9636 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9636 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.9636 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.9636 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9636 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9635 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.9635 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9635 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.9635 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9635 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.9635 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9635 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9634 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.9634 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.9634 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.9634 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9633 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.9633 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.9632 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.9629 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.9629 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9627 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9627 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9627 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9627 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.9624 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.9624 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9624 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.9624 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9624 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9623 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.9623 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9623 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9623 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9622 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9622 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9622 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9621 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.962 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.9619 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9619 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.9618 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9616 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.9615 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9615 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9614 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.9613 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9613 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.9613 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9613 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9612 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.9612 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.9612 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9611 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9611 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9611 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.9609 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9609 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.9609 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.9609 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.9608 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9608 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9608 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.9607 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9606 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.9606 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9605 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.9605 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.9604 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9604 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.9603 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.9601 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.96 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.96 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9597 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9597 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9597 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.9596 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.9592 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9591 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9591 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9589 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.9589 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9588 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9588 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.9587 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9586 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.9586 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.9585 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9584 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9582 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9577 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9577 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.9574 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.9569 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.9569 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9565 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.9565 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.9548 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.9548 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.9544 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.9543 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9543 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9538 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9538 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9537 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9536 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.9536 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.9536 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9533 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9532 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.9526 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9524 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9519 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.9518 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9518 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.9516 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.9514 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.9512 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.9506 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.9501 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.9498 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9496 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.9494 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9489 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.9486 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.9486 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9486 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.9483 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9482 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.9475 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9469 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.9469 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.9467 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.9465 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.9456 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9446 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.9436 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.9431 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.9428 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.9424 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.9419 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9415 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.941 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9406 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.9396 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.9393 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9374 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.9373 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.9369 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.9369 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.9368 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.9368 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9368 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9364 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9362 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.9323 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.932 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.9315 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.9292 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.9275 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.9256 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.9244 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9231 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.9231 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.923 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.9225 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.9222 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.919 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9183 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.9168 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.9168 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9158 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.9138 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.9111 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.9047 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.9046 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.9033 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.9022 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.9019 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.9002 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.8985 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.8979 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.8975 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.8958 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.8953 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.8946 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.8917 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.8916 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.8915 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.8774 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.8721 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.871 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.8706 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.8689 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.8688 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.8678 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.865 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.8635 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.8635 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.8623 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.8613 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.8589 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.8583 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.8578 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.8575 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.8538 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.8527 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.8525 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.8521 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.8519 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.8506 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.8497 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.8469 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.8449 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.8439 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.8438 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.8397 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.8391 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.8373 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.835 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.8347 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.8347 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.8326 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.8277 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.8249 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.8245 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.823 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.8173 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.8128 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.8071 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.8036 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.8032 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.8027 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.8017 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.7978 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.794 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.7927 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.7905 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.785 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.7836 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.7754 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.7638 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.7622 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.7617 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.7572 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.7276 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=13 | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9781 | | + diff --git a/tuning_reports/fawiki.goodfaith.md b/tuning_reports/fawiki.goodfaith.md index 968f66d5..945c8780 100644 --- a/tuning_reports/fawiki.goodfaith.md +++ b/tuning_reports/fawiki.goodfaith.md @@ -1,165 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.fawiki.goodfaith -- Date: 2017-09-05T04:07:02.462018 -- Observations: 39298 +- Date: 2021-02-08T09:59:25.273228 +- Observations: 38306 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:-----------------------------------------------------------------------| -| GradientBoosting | 0.9629 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | -| GradientBoosting | 0.9627 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | -| GradientBoosting | 0.9622 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | -| GradientBoosting | 0.9617 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9616 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9615 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | -| GradientBoosting | 0.9615 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | -| GradientBoosting | 0.9615 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | -| GradientBoosting | 0.9612 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | -| GradientBoosting | 0.9612 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9724 | | +| GradientBoosting | 0.9614 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| GradientBoosting | 0.9613 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| GradientBoosting | 0.9612 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| GradientBoosting | 0.9611 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| GradientBoosting | 0.961 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| GradientBoosting | 0.961 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| GradientBoosting | 0.961 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| GradientBoosting | 0.961 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| GradientBoosting | 0.961 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | # Models +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8588 | | + ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9591 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9588 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.958 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9579 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9575 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9573 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9569 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9537 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9536 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9535 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9535 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9529 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9527 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9526 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9519 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9519 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9518 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9517 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9517 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9516 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9514 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9513 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9509 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9509 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9505 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9499 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9497 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9487 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9487 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9477 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9476 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9471 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9469 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9457 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9453 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9444 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9432 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9387 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9379 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9348 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9337 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9314 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9307 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9305 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9243 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.915 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.889 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.8884 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.8311 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.8167 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9579 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9579 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9576 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9576 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9575 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9572 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9571 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.957 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.957 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9568 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9567 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9565 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9565 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9561 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9557 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9554 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9553 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9552 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.955 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.955 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9546 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9546 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9545 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9545 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9544 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9544 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9543 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9541 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9541 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.954 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.954 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9538 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9526 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9524 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9523 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.952 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9518 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9514 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9513 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9502 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.95 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9495 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9487 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9487 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9485 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9485 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9468 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.946 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.946 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.945 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9445 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9441 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.943 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9408 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9388 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9375 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9371 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9306 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9284 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9277 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9276 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.927 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9259 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9244 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9141 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9132 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.8942 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.8868 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.8336 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.8263 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="gini" | -## GaussianNB -| roc_auc.labels.true | params | -|| +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9614 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9613 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9612 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9611 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.961 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.961 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.961 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.961 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.961 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9609 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9608 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9608 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9608 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9607 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9607 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9607 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9606 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9606 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9606 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9606 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9605 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9604 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9604 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9604 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9604 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9603 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9603 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9603 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9603 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9602 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9602 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9601 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9599 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9599 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9599 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9598 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9598 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9598 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9598 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9598 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9597 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9597 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9597 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9596 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9596 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9596 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9596 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9596 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9596 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9596 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9594 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9594 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9594 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9593 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9593 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9593 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9593 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9592 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9592 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9592 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9592 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9591 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9591 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.959 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.959 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.959 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9589 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9589 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9589 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9588 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9588 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9588 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9587 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9586 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9586 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9585 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9584 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9584 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9584 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9582 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9582 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9582 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9582 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.9581 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9578 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9578 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9578 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9577 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9577 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9577 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9577 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9576 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9576 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9576 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9576 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9575 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9575 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9575 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9575 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.9574 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9573 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9573 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9573 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9572 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9572 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.9571 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.957 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.957 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.957 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.957 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9569 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9569 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.9567 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.9567 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9564 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9558 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.9557 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.9554 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.9554 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9554 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.955 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.9549 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9549 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.9548 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.9547 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9547 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9546 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.9544 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9542 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9542 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.9541 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9541 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.954 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.954 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.954 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.954 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9538 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9536 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9536 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9536 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9534 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.9533 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9533 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.9531 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.953 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9529 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9526 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9526 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9524 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9519 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9514 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9513 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9513 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9512 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9512 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.951 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9509 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9509 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9509 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.9507 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9499 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9499 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9499 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9496 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9493 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9488 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9486 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9486 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9481 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9475 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9474 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9474 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9459 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9458 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9451 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9448 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9446 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9438 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9436 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9436 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9431 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9428 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9427 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9427 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9425 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9421 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9412 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9408 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.94 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.9376 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.9365 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.9352 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.935 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.9349 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.9345 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9339 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.932 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9315 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9315 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9294 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9292 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9292 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9284 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9269 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.924 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.9232 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.9226 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9222 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9222 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9222 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.922 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.922 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9205 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.92 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9196 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9189 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.9181 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9157 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9153 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.912 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.9117 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.9093 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9087 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.908 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.8935 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.891 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.8896 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.8883 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.8867 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.8867 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.8864 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.8849 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8846 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.8845 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.8838 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.8787 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.869 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.8677 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.8677 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.8674 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.8658 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.8632 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.8632 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.8612 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8607 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8572 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.8546 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.8543 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.8494 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.8472 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.841 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.8384 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.8383 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.8288 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.826 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.8225 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.8166 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8091 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.8079 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8047 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.8017 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.8 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.7986 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.795 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.7942 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.7915 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.7913 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.789 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.7882 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.7838 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.7812 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.7776 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.7776 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.7766 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.7765 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.7754 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.7742 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.7719 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.7694 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.7694 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.767 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.7645 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.7644 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.7635 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.7623 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.759 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.7571 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.756 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.7535 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.7513 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.7494 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.7477 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.7471 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.7451 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.7426 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.7421 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.7396 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.7374 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.7365 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.7353 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.7347 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.7297 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.7285 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.7283 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.728 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.7219 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.7208 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.7201 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.719 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.717 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.7067 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.7063 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.7049 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.7036 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.7019 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.6936 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.6931 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.6861 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.678 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.6445 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | ## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.952 | C=10, penalty="l1" | -| 0.952 | C=0.1, penalty="l1" | -| 0.9517 | C=1, penalty="l1" | -| 0.8705 | C=0.1, penalty="l2" | -| 0.8651 | C=10, penalty="l2" | -| 0.8637 | C=1, penalty="l2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8913 | penalty="l2", C=0.1 | +| 0.8885 | penalty="l2", C=10 | +| 0.8872 | penalty="l2", C=1 | -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9629 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9627 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9622 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9617 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9616 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9615 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9615 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9615 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9612 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9612 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.961 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.961 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9609 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.9606 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9605 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9603 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9598 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9592 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.959 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.958 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | -| 0.958 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9579 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | -| 0.9579 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9577 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9575 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9574 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.9556 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.955 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9548 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9531 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | -| 0.9531 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9529 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | -| 0.9524 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9516 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.951 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.9501 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.9499 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9489 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.9487 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9481 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.9473 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.9467 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9446 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9437 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9425 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9407 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9404 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9403 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9403 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9392 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9375 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.9332 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | -| 0.933 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | -| 0.9314 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | -| 0.9244 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.9198 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | -| 0.919 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | -| 0.9141 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8964 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | -| 0.8755 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | -| 0.8609 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8538 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | -| 0.8459 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8371 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8843 | | +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9724 | | diff --git a/tuning_reports/fiwiki.damaging.md b/tuning_reports/fiwiki.damaging.md index b3e10d24..05e4e2d0 100644 --- a/tuning_reports/fiwiki.damaging.md +++ b/tuning_reports/fiwiki.damaging.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.3.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.fiwiki.damaging -- Date: 2019-04-08T18:28:43.023882 -- Observations: 39766 +- Date: 2021-02-08T10:56:07.840007 +- Observations: 39691 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GaussianNB | 0.9563 | | -| GradientBoosting | 0.9471 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.947 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9467 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| GradientBoosting | 0.9467 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| GradientBoosting | 0.9465 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9462 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| RandomForestClassifier | 0.9457 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=640 | -| GradientBoosting | 0.9455 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| RandomForestClassifier | 0.9455 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=320 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9515 | | +| GradientBoosting | 0.9476 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| GradientBoosting | 0.9476 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| GradientBoosting | 0.9474 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| GradientBoosting | 0.9473 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| GradientBoosting | 0.9473 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| GradientBoosting | 0.9472 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| GradientBoosting | 0.9469 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| GradientBoosting | 0.9468 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| GradientBoosting | 0.9467 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9471 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.947 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9467 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9467 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9465 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9462 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9455 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9454 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9453 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9451 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.945 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.944 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9438 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9437 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9437 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.943 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9427 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9426 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9424 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9421 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9416 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9415 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9412 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9409 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9407 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9404 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.94 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9397 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9391 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9388 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9387 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9376 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9368 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9364 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9363 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9348 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9342 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9339 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.933 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9318 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.928 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9276 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9274 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9262 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9238 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9213 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9209 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9199 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.912 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.911 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9065 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9063 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9035 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8976 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8861 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8781 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8771 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8684 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8609 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8599 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8518 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8437 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8361 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8203 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | - ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9314 | penalty="l1", C=1 | -| 0.9313 | penalty="l1", C=10 | -| 0.9304 | penalty="l1", C=0.1 | -| 0.8864 | penalty="l2", C=10 | -| 0.8834 | penalty="l2", C=0.1 | -| 0.8706 | penalty="l2", C=1 | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9457 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=640 | -| 0.9455 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=320 | -| 0.9453 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=640 | -| 0.9451 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=640 | -| 0.9451 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=640 | -| 0.945 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| 0.9448 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9447 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=320 | -| 0.9446 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.9445 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=640 | -| 0.9445 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=640 | -| 0.9444 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=320 | -| 0.9442 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=640 | -| 0.9441 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=640 | -| 0.9441 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=320 | -| 0.9439 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.9437 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.9436 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| 0.9435 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=320 | -| 0.9435 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=320 | -| 0.9434 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9434 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9434 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9433 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=640 | -| 0.9431 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9429 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=640 | -| 0.9428 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9428 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.9427 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9427 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9425 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=320 | -| 0.9424 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9421 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9417 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9417 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9416 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9415 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9415 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=320 | -| 0.9409 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9408 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.9407 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.9407 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9404 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.9396 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.9394 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.9392 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9391 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.9385 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.938 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9375 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.9375 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.9368 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.9363 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.936 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9354 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.9321 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9316 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9316 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.9312 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.931 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.9308 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9289 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.9272 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=10 | -| 0.9259 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=10 | -| 0.9227 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.9195 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.9151 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.914 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.8842 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=10 | -| 0.8838 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=10 | +| 0.9059 | penalty="l2", C=0.1 | +| 0.9057 | penalty="l2", C=10 | +| 0.9056 | penalty="l2", C=1 | ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.9563 | | +| 0.9515 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9476 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9476 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9474 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9473 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9473 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9472 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9469 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9468 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9467 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9467 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9467 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9467 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9465 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9465 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9465 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9465 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9464 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9464 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9463 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9463 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9463 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9463 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9463 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9462 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9462 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9462 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9461 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9461 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.946 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9459 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9459 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9459 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9459 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9458 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9457 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9457 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9456 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9456 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9455 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9455 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9454 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9453 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.945 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.945 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9448 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9447 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9446 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9446 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9444 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9444 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9443 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9443 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9442 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9441 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9441 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.944 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9439 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9438 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9437 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9437 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9436 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9434 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.9434 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9434 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9433 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9433 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9432 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9432 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9431 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9431 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9429 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9427 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9427 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9426 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9425 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9424 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9424 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9424 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9424 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9422 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9421 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9421 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9421 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9421 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9421 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9421 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9421 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.942 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.942 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.942 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.942 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9419 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9418 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9418 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.9418 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9417 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9417 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9417 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9417 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9417 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9417 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9416 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9416 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9416 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9416 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9416 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9415 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9414 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.9414 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9414 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9413 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9412 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9412 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9411 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9409 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9408 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9408 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9408 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9408 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9407 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9407 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9407 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9406 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9406 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9406 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9406 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9403 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9402 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9402 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9402 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9399 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9399 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9399 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9398 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9398 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9397 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.9396 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9395 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9395 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9394 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9394 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9394 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9394 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9394 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.9389 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9388 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.9388 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9388 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9385 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.9385 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9381 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9375 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9373 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9372 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.937 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9369 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9368 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9367 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9366 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9366 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9366 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9364 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9363 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9361 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.936 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.936 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9357 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9355 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9354 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9354 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9353 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9351 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.935 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.935 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9346 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9345 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.9341 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.9339 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9337 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9336 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9336 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.9333 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.933 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9329 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9329 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9326 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9325 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9325 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9324 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.9323 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9322 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9319 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.9315 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9315 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.9314 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.9314 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9312 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9309 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9306 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9306 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9306 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9303 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.9302 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.9288 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9287 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9286 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.9281 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.9275 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9275 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9274 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9269 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9269 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9268 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9262 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.9261 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9261 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.9259 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.9257 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.9246 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.9245 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.9242 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.9242 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.924 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.9234 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.9229 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.9222 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.9221 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.9218 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.9209 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.9208 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.9208 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9199 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.919 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.918 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.918 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9141 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.9138 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.9127 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.9123 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9122 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.9119 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.9111 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.9074 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.9069 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9069 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9062 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.9061 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.9058 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.9058 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.9053 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.9036 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.9034 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9031 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.9028 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.9024 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.9023 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.9013 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.901 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.9006 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8995 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8947 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.8936 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8935 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.8934 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.893 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.8869 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.8864 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.8828 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.8799 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.8799 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.879 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8785 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.8784 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.8781 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.8749 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.8743 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.8734 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.87 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.8691 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.8684 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.8661 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.8659 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.8656 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.8652 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.8637 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.8601 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.8583 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.8564 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.8554 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.8543 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.8541 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.8521 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.8516 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8451 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.842 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.8414 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.8392 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.8345 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.8288 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.827 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.82 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.8186 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.8161 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.8112 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.8096 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8082 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.8038 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.8001 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.7945 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.7932 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.7902 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.7858 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.7839 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.7803 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.7705 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.7638 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.7401 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.7371 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.7349 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.6388 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9462 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | +| 0.9459 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=640 | +| 0.9459 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=640 | +| 0.9458 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=640 | +| 0.9456 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | +| 0.9455 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=640 | +| 0.9454 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=640 | +| 0.9453 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | +| 0.9453 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=640 | +| 0.9452 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=320 | +| 0.9448 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | +| 0.9447 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | +| 0.9447 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | +| 0.9445 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | +| 0.9445 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=640 | +| 0.9444 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=640 | +| 0.9443 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | +| 0.9442 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=320 | +| 0.9442 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | +| 0.9442 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | +| 0.9441 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=640 | +| 0.944 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | +| 0.944 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | +| 0.9439 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | +| 0.9439 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | +| 0.9438 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | +| 0.9437 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=320 | +| 0.9437 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | +| 0.9436 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=640 | +| 0.9435 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | +| 0.9434 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | +| 0.9433 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | +| 0.9428 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | +| 0.9428 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | +| 0.9428 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | +| 0.9422 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | +| 0.9419 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | +| 0.9418 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | +| 0.9417 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | +| 0.9415 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | +| 0.9414 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | +| 0.9404 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | +| 0.9401 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | +| 0.9398 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | +| 0.9398 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | +| 0.9395 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | +| 0.9392 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | +| 0.9392 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | +| 0.9389 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | +| 0.9388 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | +| 0.9374 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | +| 0.9374 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | +| 0.9363 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | +| 0.9343 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | +| 0.934 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | +| 0.9336 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | +| 0.933 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | +| 0.9326 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | +| 0.9325 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | +| 0.931 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | +| 0.9304 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | +| 0.9302 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | +| 0.9295 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | +| 0.928 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | +| 0.9229 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | +| 0.9223 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | +| 0.9181 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | +| 0.9144 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | +| 0.8873 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | +| 0.8843 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.839 | | +| 0.8379 | | diff --git a/tuning_reports/fiwiki.goodfaith.md b/tuning_reports/fiwiki.goodfaith.md index a1d23366..1358294a 100644 --- a/tuning_reports/fiwiki.goodfaith.md +++ b/tuning_reports/fiwiki.goodfaith.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.3.4 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.fiwiki.goodfaith -- Date: 2019-04-08T19:12:06.846470 -- Observations: 39766 +- Date: 2021-02-08T12:04:24.649487 +- Observations: 39691 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9814 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9791 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9757 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| GradientBoosting | 0.9753 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.971 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9693 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.9656 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.9641 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| RandomForestClassifier | 0.9632 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| GradientBoosting | 0.9631 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9811 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=5 | +| GradientBoosting | 0.9806 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=3 | +| GradientBoosting | 0.9805 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=13 | +| GradientBoosting | 0.9804 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=7 | +| GradientBoosting | 0.9803 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=1 | +| GradientBoosting | 0.979 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=1 | +| GradientBoosting | 0.9786 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=7 | +| GradientBoosting | 0.9785 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=5 | +| GradientBoosting | 0.978 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=13 | +| GradientBoosting | 0.978 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=3 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9814 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9791 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9757 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9753 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.971 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9693 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9656 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9641 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9631 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9622 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9619 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9616 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9614 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9597 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9596 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9594 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9593 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9588 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9587 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9584 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9584 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9581 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9578 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9575 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9575 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9574 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9574 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9574 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9573 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9572 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9572 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9571 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.957 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9567 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9566 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9564 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9561 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.956 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9558 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9556 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9554 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9552 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9549 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9548 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9531 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9524 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.951 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9501 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9499 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9497 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9493 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9486 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9457 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9437 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.941 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9364 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9259 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.925 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.922 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.9108 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8991 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8977 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8868 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8809 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9395 | penalty="l1", C=10 | -| 0.9393 | penalty="l1", C=0.1 | -| 0.9349 | penalty="l1", C=1 | -| 0.9044 | penalty="l2", C=0.1 | -| 0.9042 | penalty="l2", C=1 | -| 0.9035 | penalty="l2", C=10 | - ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9632 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.9623 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=320 | -| 0.9612 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=320 | -| 0.9612 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.961 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9609 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=640 | -| 0.9609 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.9607 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9607 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=320 | -| 0.9606 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.9606 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.9605 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.9604 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=640 | -| 0.9603 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=640 | -| 0.96 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9599 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=320 | -| 0.9599 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9598 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.9598 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=10 | -| 0.9598 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.9597 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=640 | -| 0.9595 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=320 | -| 0.9595 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=640 | -| 0.9595 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.9594 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.9593 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| 0.9593 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9592 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9592 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=640 | -| 0.9592 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=10 | -| 0.9591 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=640 | -| 0.9589 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=320 | -| 0.9589 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9588 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=640 | -| 0.9588 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.9588 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9588 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.9586 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| 0.9585 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9585 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.9583 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.9583 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9582 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.9581 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9581 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.958 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.958 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=640 | -| 0.958 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.9577 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=320 | -| 0.9576 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9575 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.9575 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=640 | -| 0.9574 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9574 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9573 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.9573 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9573 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=320 | -| 0.9571 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9569 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.9568 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9567 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.9565 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.9555 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=10 | -| 0.955 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9549 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9548 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9543 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.9541 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9538 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9537 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=10 | +| 0.9624 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9622 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9622 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.962 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.962 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9619 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9617 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9614 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=1 | +| 0.9613 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9613 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9613 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9611 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9607 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9607 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9607 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9605 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.9604 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9604 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=1 | +| 0.9602 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9602 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9601 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9601 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9601 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9601 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.96 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.96 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.96 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9599 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.9599 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9598 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9598 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9598 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9597 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9597 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.9595 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9595 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9595 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.959 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9589 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9589 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9588 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9588 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9588 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9587 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9585 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9585 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9584 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9584 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9583 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9583 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.9582 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9581 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.958 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.958 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9579 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9579 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9577 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9577 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9576 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9575 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.9573 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9565 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9562 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9561 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.956 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.9555 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.9553 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.9551 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.9547 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.9543 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=7 | ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8638 | | +| 0.8626 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9811 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=5 | +| 0.9806 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=3 | +| 0.9805 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=13 | +| 0.9804 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=7 | +| 0.9803 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700, min_samples_leaf=1 | +| 0.979 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=1 | +| 0.9786 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=7 | +| 0.9785 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=5 | +| 0.978 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=13 | +| 0.978 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500, min_samples_leaf=3 | +| 0.9775 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=1 | +| 0.976 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=7 | +| 0.9758 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=3 | +| 0.9757 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=1 | +| 0.9757 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=5 | +| 0.9753 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=13 | +| 0.9753 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300, min_samples_leaf=5 | +| 0.9749 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=3 | +| 0.9743 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=1 | +| 0.9742 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=7 | +| 0.972 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=3 | +| 0.9714 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=1 | +| 0.9712 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=7 | +| 0.9709 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=13 | +| 0.9706 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=3 | +| 0.97 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=7 | +| 0.97 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=13 | +| 0.9698 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=1 | +| 0.9698 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=3 | +| 0.9697 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=3 | +| 0.9697 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500, min_samples_leaf=5 | +| 0.9695 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700, min_samples_leaf=5 | +| 0.967 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=1 | +| 0.9669 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=3 | +| 0.9669 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=13 | +| 0.9667 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=7 | +| 0.9667 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=1 | +| 0.9666 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=3 | +| 0.9663 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500, min_samples_leaf=5 | +| 0.965 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=3 | +| 0.965 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=7 | +| 0.9649 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=3 | +| 0.9645 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=1 | +| 0.9643 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=5 | +| 0.964 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=13 | +| 0.964 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=7 | +| 0.9639 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=3 | +| 0.9639 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300, min_samples_leaf=13 | +| 0.9637 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=7 | +| 0.9637 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=1 | +| 0.9637 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=5 | +| 0.9636 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=13 | +| 0.9636 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700, min_samples_leaf=5 | +| 0.9634 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=13 | +| 0.9632 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=3 | +| 0.9631 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300, min_samples_leaf=1 | +| 0.9631 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=1 | +| 0.9628 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=1 | +| 0.9624 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=7 | +| 0.9622 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=3 | +| 0.9621 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=7 | +| 0.9619 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=5 | +| 0.9618 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=5 | +| 0.9617 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=13 | +| 0.9617 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=5 | +| 0.9617 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500, min_samples_leaf=13 | +| 0.9612 | max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100, min_samples_leaf=5 | +| 0.961 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=13 | +| 0.961 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=13 | +| 0.9609 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=1 | +| 0.9609 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=5 | +| 0.9607 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=1 | +| 0.9607 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=5 | +| 0.9606 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=1 | +| 0.9606 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=1 | +| 0.9605 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=3 | +| 0.9605 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=3 | +| 0.9605 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=1 | +| 0.9604 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=13 | +| 0.9604 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=5 | +| 0.9604 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=7 | +| 0.9603 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=7 | +| 0.9603 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=3 | +| 0.9602 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300, min_samples_leaf=3 | +| 0.9602 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=13 | +| 0.9602 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=3 | +| 0.9602 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=5 | +| 0.9601 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=13 | +| 0.9601 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=5 | +| 0.96 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=7 | +| 0.96 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=13 | +| 0.96 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=7 | +| 0.9599 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=3 | +| 0.9599 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=3 | +| 0.9599 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=3 | +| 0.9599 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=3 | +| 0.9598 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700, min_samples_leaf=5 | +| 0.9598 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500, min_samples_leaf=1 | +| 0.9598 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=7 | +| 0.9598 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500, min_samples_leaf=5 | +| 0.9597 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=1 | +| 0.9597 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700, min_samples_leaf=7 | +| 0.9597 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=1 | +| 0.9596 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=13 | +| 0.9595 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=5 | +| 0.9595 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700, min_samples_leaf=13 | +| 0.9595 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=5 | +| 0.9594 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=13 | +| 0.9593 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=7 | +| 0.9591 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=13 | +| 0.9591 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=3 | +| 0.9591 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=3 | +| 0.959 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=13 | +| 0.959 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700, min_samples_leaf=3 | +| 0.959 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=1 | +| 0.959 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=1 | +| 0.959 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=5 | +| 0.959 | max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100, min_samples_leaf=3 | +| 0.9589 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=3 | +| 0.9589 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=3 | +| 0.9589 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300, min_samples_leaf=7 | +| 0.9587 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=1 | +| 0.9586 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=5 | +| 0.9586 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=7 | +| 0.9586 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=1 | +| 0.9584 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=5 | +| 0.9583 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=13 | +| 0.9583 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=5 | +| 0.9583 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300, min_samples_leaf=7 | +| 0.9582 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500, min_samples_leaf=5 | +| 0.9582 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=7 | +| 0.9582 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=1 | +| 0.958 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=13 | +| 0.958 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=7 | +| 0.958 | max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100, min_samples_leaf=7 | +| 0.958 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=5 | +| 0.958 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=7 | +| 0.9579 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=13 | +| 0.9579 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=5 | +| 0.9579 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=1 | +| 0.9578 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=7 | +| 0.9578 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=1 | +| 0.9578 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=13 | +| 0.9578 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=1 | +| 0.9578 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=5 | +| 0.9577 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=7 | +| 0.9577 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700, min_samples_leaf=13 | +| 0.9577 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=5 | +| 0.9577 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=1 | +| 0.9576 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=7 | +| 0.9576 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=1 | +| 0.9576 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=13 | +| 0.9576 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=7 | +| 0.9576 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=5 | +| 0.9576 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=1 | +| 0.9575 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=3 | +| 0.9575 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300, min_samples_leaf=3 | +| 0.9575 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=3 | +| 0.9575 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=7 | +| 0.9575 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=3 | +| 0.9574 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=13 | +| 0.9573 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500, min_samples_leaf=7 | +| 0.9572 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=13 | +| 0.9571 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=1 | +| 0.9571 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700, min_samples_leaf=1 | +| 0.9571 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=13 | +| 0.9571 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=5 | +| 0.9571 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=3 | +| 0.9571 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=7 | +| 0.9569 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=3 | +| 0.9569 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=5 | +| 0.9569 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=1 | +| 0.9569 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=5 | +| 0.9568 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=7 | +| 0.9568 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500, min_samples_leaf=13 | +| 0.9567 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=1 | +| 0.9567 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=7 | +| 0.9566 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700, min_samples_leaf=7 | +| 0.9566 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=1 | +| 0.9566 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=7 | +| 0.9565 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=3 | +| 0.9565 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=1 | +| 0.9565 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=3 | +| 0.9564 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=3 | +| 0.9564 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=5 | +| 0.9564 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=7 | +| 0.9564 | max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100, min_samples_leaf=3 | +| 0.9563 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=1 | +| 0.9563 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300, min_samples_leaf=13 | +| 0.9562 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=5 | +| 0.9562 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100, min_samples_leaf=13 | +| 0.9562 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=13 | +| 0.9561 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=3 | +| 0.9561 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300, min_samples_leaf=7 | +| 0.9561 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=7 | +| 0.9561 | max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100, min_samples_leaf=13 | +| 0.956 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=3 | +| 0.956 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=3 | +| 0.956 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=1 | +| 0.9559 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=13 | +| 0.9559 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700, min_samples_leaf=5 | +| 0.9558 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=7 | +| 0.9557 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=13 | +| 0.9556 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=5 | +| 0.9556 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=5 | +| 0.9554 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=13 | +| 0.9554 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=1 | +| 0.9554 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=1 | +| 0.9554 | max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500, min_samples_leaf=3 | +| 0.9553 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=13 | +| 0.9552 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=1 | +| 0.9552 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=3 | +| 0.9551 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300, min_samples_leaf=1 | +| 0.9551 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=3 | +| 0.9551 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=7 | +| 0.955 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=1 | +| 0.955 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=7 | +| 0.9549 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=13 | +| 0.9549 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=5 | +| 0.9547 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=7 | +| 0.9547 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=3 | +| 0.9546 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=7 | +| 0.9545 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500, min_samples_leaf=5 | +| 0.9544 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=13 | +| 0.9543 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=1 | +| 0.9543 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=1 | +| 0.9542 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=3 | +| 0.9542 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=100, min_samples_leaf=5 | +| 0.9541 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=700, min_samples_leaf=1 | +| 0.9539 | max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100, min_samples_leaf=13 | +| 0.9538 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=5 | +| 0.9538 | max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100, min_samples_leaf=5 | +| 0.9537 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=7 | +| 0.9536 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=500, min_samples_leaf=3 | +| 0.9534 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=7 | +| 0.9531 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=3 | +| 0.953 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=7 | +| 0.9521 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=3 | +| 0.9516 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=1 | +| 0.9516 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=13 | +| 0.9515 | max_features="log2", max_depth=1, learning_rate=1, n_estimators=300, min_samples_leaf=5 | +| 0.9515 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=7 | +| 0.951 | max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100, min_samples_leaf=5 | +| 0.951 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=3 | +| 0.9507 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=5 | +| 0.9507 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=1 | +| 0.9505 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=100, min_samples_leaf=13 | +| 0.9504 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=7 | +| 0.9502 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=3 | +| 0.9499 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300, min_samples_leaf=13 | +| 0.9498 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=1 | +| 0.9488 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=3 | +| 0.9487 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=1 | +| 0.9486 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=13 | +| 0.9485 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=5 | +| 0.9484 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=1 | +| 0.9482 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=3 | +| 0.9481 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=13 | +| 0.9479 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=3 | +| 0.9478 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=5 | +| 0.9477 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=7 | +| 0.9476 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=13 | +| 0.9476 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=5 | +| 0.9473 | max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100, min_samples_leaf=7 | +| 0.9468 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=1 | +| 0.9465 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700, min_samples_leaf=5 | +| 0.9465 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=100, min_samples_leaf=13 | +| 0.9464 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=5 | +| 0.9452 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=1 | +| 0.9452 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=7 | +| 0.9451 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=1 | +| 0.9447 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=100, min_samples_leaf=13 | +| 0.9444 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=300, min_samples_leaf=13 | +| 0.9443 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=5 | +| 0.944 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=3 | +| 0.9439 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=5 | +| 0.9436 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=13 | +| 0.9433 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500, min_samples_leaf=7 | +| 0.9431 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=1 | +| 0.9416 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=3 | +| 0.9415 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=13 | +| 0.9408 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=7 | +| 0.9384 | max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100, min_samples_leaf=5 | +| 0.9379 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=1 | +| 0.9369 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=5 | +| 0.9362 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=13 | +| 0.9361 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=5 | +| 0.9361 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=5 | +| 0.9356 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=3 | +| 0.9355 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300, min_samples_leaf=7 | +| 0.9331 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=500, min_samples_leaf=13 | +| 0.9313 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=1 | +| 0.9312 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=3 | +| 0.9304 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=7 | +| 0.9274 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=3 | +| 0.9272 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=7 | +| 0.9262 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=1 | +| 0.9243 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=13 | +| 0.9242 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=5 | +| 0.9233 | max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100, min_samples_leaf=5 | +| 0.9225 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=3 | +| 0.9206 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=7 | +| 0.9192 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=3 | +| 0.914 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=7 | +| 0.9093 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=1 | +| 0.9027 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=7 | +| 0.8931 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=1 | +| 0.8923 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=13 | +| 0.8912 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=3 | +| 0.8863 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=5 | +| 0.8762 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=13 | +| 0.8722 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=13 | +| 0.8704 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=7 | +| 0.8599 | max_features="log2", max_depth=3, learning_rate=1, n_estimators=700, min_samples_leaf=7 | +| 0.8547 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=500, min_samples_leaf=13 | +| 0.8494 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=300, min_samples_leaf=13 | +| 0.8492 | max_features="log2", max_depth=7, learning_rate=1, n_estimators=700, min_samples_leaf=1 | +| 0.796 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=700, min_samples_leaf=7 | +| 0.7867 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=300, min_samples_leaf=13 | +| 0.7542 | max_features="log2", max_depth=5, learning_rate=1, n_estimators=500, min_samples_leaf=5 | + +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.9254 | penalty="l2", C=0.1 | +| 0.924 | penalty="l2", C=1 | +| 0.9222 | penalty="l2", C=10 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.872 | | +| 0.8717 | | diff --git a/tuning_reports/frwiki.damaging.md b/tuning_reports/frwiki.damaging.md index c8014619..741fe77a 100644 --- a/tuning_reports/frwiki.damaging.md +++ b/tuning_reports/frwiki.damaging.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.frwiki.damaging -- Date: 2017-09-05T20:08:07.866414 -- Observations: 19840 +- Date: 2021-02-08T13:10:43.476381 +- Observations: 17438 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.8819 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.8812 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.881 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| RandomForestClassifier | 0.8808 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.8801 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.8796 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.8794 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| GradientBoosting | 0.8788 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| GradientBoosting | 0.8787 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| GradientBoosting | 0.8787 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9107 | | +| GradientBoosting | 0.9054 | max_depth=7, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9054 | max_depth=3, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.905 | max_depth=3, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| RandomForestClassifier | 0.9048 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | +| GradientBoosting | 0.9047 | max_depth=5, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9047 | max_depth=5, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9047 | max_depth=5, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9047 | max_depth=5, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.9046 | max_depth=5, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | # Models +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.7891 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9054 | max_depth=7, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9054 | max_depth=3, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.905 | max_depth=3, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9047 | max_depth=5, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9047 | max_depth=5, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9047 | max_depth=5, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9047 | max_depth=5, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9046 | max_depth=5, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9044 | max_depth=5, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9043 | max_depth=5, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9042 | max_depth=1, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9039 | max_depth=3, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9039 | max_depth=5, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9037 | max_depth=3, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9037 | max_depth=3, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9036 | max_depth=3, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9036 | max_depth=3, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9036 | max_depth=5, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9035 | max_depth=5, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9035 | max_depth=5, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9034 | max_depth=7, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9034 | max_depth=5, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9033 | max_depth=5, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9033 | max_depth=5, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9031 | max_depth=7, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9029 | max_depth=3, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9028 | max_depth=7, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9028 | max_depth=7, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9026 | max_depth=5, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9025 | max_depth=1, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9025 | max_depth=5, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9025 | max_depth=1, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9024 | max_depth=1, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9024 | max_depth=7, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9024 | max_depth=5, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9023 | max_depth=3, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.9022 | max_depth=3, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9022 | max_depth=3, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9021 | max_depth=5, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9021 | max_depth=3, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.902 | max_depth=1, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.902 | max_depth=7, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9019 | max_depth=5, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9018 | max_depth=1, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9017 | max_depth=1, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9015 | max_depth=1, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9013 | max_depth=3, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.9013 | max_depth=7, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9013 | max_depth=7, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9012 | max_depth=1, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9011 | max_depth=3, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.9009 | max_depth=7, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9009 | max_depth=3, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9008 | max_depth=7, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.9008 | max_depth=3, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.9008 | max_depth=3, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.9006 | max_depth=1, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9005 | max_depth=7, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9004 | max_depth=3, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.9002 | max_depth=1, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.9002 | max_depth=1, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.9002 | max_depth=3, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.9001 | max_depth=1, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.9 | max_depth=1, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.9 | max_depth=1, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8999 | max_depth=5, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8999 | max_depth=7, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.8993 | max_depth=1, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8993 | max_depth=1, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8991 | max_depth=7, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.899 | max_depth=5, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.899 | max_depth=1, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.899 | max_depth=1, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8989 | max_depth=5, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8986 | max_depth=7, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.8985 | max_depth=3, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.8983 | max_depth=3, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8977 | max_depth=1, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8976 | max_depth=7, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.8976 | max_depth=3, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8974 | max_depth=7, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.8974 | max_depth=5, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8973 | max_depth=7, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.8972 | max_depth=3, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8972 | max_depth=5, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.897 | max_depth=1, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.897 | max_depth=1, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8969 | max_depth=5, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8969 | max_depth=1, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8968 | max_depth=3, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8967 | max_depth=1, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8967 | max_depth=1, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8966 | max_depth=1, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8966 | max_depth=3, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.8964 | max_depth=3, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.8963 | max_depth=3, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8963 | max_depth=1, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.896 | max_depth=1, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.896 | max_depth=7, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.896 | max_depth=1, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.8959 | max_depth=1, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8959 | max_depth=1, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.8956 | max_depth=3, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.8956 | max_depth=3, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.8955 | max_depth=1, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.8955 | max_depth=1, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8951 | max_depth=1, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.8948 | max_depth=3, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8946 | max_depth=7, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.8945 | max_depth=1, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8944 | max_depth=1, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8944 | max_depth=1, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8942 | max_depth=1, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.8941 | max_depth=1, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.894 | max_depth=1, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8939 | max_depth=1, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8937 | max_depth=1, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.8937 | max_depth=1, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.8937 | max_depth=1, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8936 | max_depth=3, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8936 | max_depth=1, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8934 | max_depth=1, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.8934 | max_depth=1, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.8931 | max_depth=1, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8929 | max_depth=1, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8925 | max_depth=1, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8923 | max_depth=3, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8919 | max_depth=1, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.8915 | max_depth=3, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8914 | max_depth=3, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.8913 | max_depth=1, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8911 | max_depth=1, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.891 | max_depth=1, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8908 | max_depth=3, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.89 | max_depth=3, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8899 | max_depth=1, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.8899 | max_depth=3, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.889 | max_depth=7, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8887 | max_depth=7, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8883 | max_depth=1, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8883 | max_depth=1, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8883 | max_depth=3, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8882 | max_depth=7, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8881 | max_depth=5, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8877 | max_depth=1, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.8877 | max_depth=1, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.8874 | max_depth=7, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8874 | max_depth=7, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8871 | max_depth=1, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8868 | max_depth=3, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8867 | max_depth=1, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8865 | max_depth=1, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8865 | max_depth=1, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8864 | max_depth=1, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8861 | max_depth=1, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.8853 | max_depth=5, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8851 | max_depth=3, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8851 | max_depth=1, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.885 | max_depth=1, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8845 | max_depth=5, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8844 | max_depth=1, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8843 | max_depth=1, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01 | +| 0.8841 | max_depth=1, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8841 | max_depth=1, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8834 | max_depth=1, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8834 | max_depth=5, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8832 | max_depth=3, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.883 | max_depth=1, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8822 | max_depth=5, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8816 | max_depth=5, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8802 | max_depth=5, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8798 | max_depth=5, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8796 | max_depth=3, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8794 | max_depth=1, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8792 | max_depth=3, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8791 | max_depth=7, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8789 | max_depth=3, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8786 | max_depth=1, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01 | +| 0.8781 | max_depth=5, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8775 | max_depth=7, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8775 | max_depth=1, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8774 | max_depth=5, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.877 | max_depth=1, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8762 | max_depth=1, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01 | +| 0.8756 | max_depth=5, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8752 | max_depth=7, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8749 | max_depth=1, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01 | +| 0.8749 | max_depth=1, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01 | +| 0.8746 | max_depth=5, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8743 | max_depth=3, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8743 | max_depth=5, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8742 | max_depth=5, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.874 | max_depth=5, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8736 | max_depth=7, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8736 | max_depth=3, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8715 | max_depth=5, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8711 | max_depth=7, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8708 | max_depth=3, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8672 | max_depth=3, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.867 | max_depth=3, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8663 | max_depth=3, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8659 | max_depth=3, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8655 | max_depth=7, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8652 | max_depth=3, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8649 | max_depth=5, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8642 | max_depth=3, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8641 | max_depth=5, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8625 | max_depth=3, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8607 | max_depth=7, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8595 | max_depth=5, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8558 | max_depth=5, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8557 | max_depth=3, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8555 | max_depth=3, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8552 | max_depth=3, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8547 | max_depth=7, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.8545 | max_depth=7, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8541 | max_depth=7, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8521 | max_depth=3, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8517 | max_depth=3, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8507 | max_depth=3, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8499 | max_depth=3, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8481 | max_depth=3, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8476 | max_depth=3, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.847 | max_depth=3, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8448 | max_depth=3, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8378 | max_depth=7, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8363 | max_depth=7, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1 | +| 0.8358 | max_depth=3, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8342 | max_depth=7, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8335 | max_depth=3, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8325 | max_depth=7, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8312 | max_depth=7, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1 | +| 0.831 | max_depth=7, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8304 | max_depth=7, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1 | +| 0.8296 | max_depth=5, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8288 | max_depth=7, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8277 | max_depth=7, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1 | +| 0.8267 | max_depth=7, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1 | +| 0.8259 | max_depth=3, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8218 | max_depth=7, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.821 | max_depth=5, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.821 | max_depth=3, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8199 | max_depth=5, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8181 | max_depth=5, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.8179 | max_depth=7, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8158 | max_depth=5, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8155 | max_depth=3, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8146 | max_depth=7, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8145 | max_depth=5, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.8143 | max_depth=7, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8142 | max_depth=3, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8141 | max_depth=5, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8133 | max_depth=7, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8131 | max_depth=7, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8128 | max_depth=7, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8127 | max_depth=5, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8117 | max_depth=5, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8108 | max_depth=5, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8108 | max_depth=7, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.81 | max_depth=7, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8097 | max_depth=5, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8095 | max_depth=7, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8083 | max_depth=5, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8078 | max_depth=5, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.8076 | max_depth=7, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8071 | max_depth=7, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8063 | max_depth=7, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5 | +| 0.8059 | max_depth=7, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5 | +| 0.8047 | max_depth=3, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.8041 | max_depth=5, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.8038 | max_depth=5, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8021 | max_depth=5, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.8019 | max_depth=5, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5 | +| 0.8015 | max_depth=5, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.8012 | max_depth=7, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5 | +| 0.7991 | max_depth=5, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.796 | max_depth=5, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5 | +| 0.7936 | max_depth=3, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7913 | max_depth=5, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7898 | max_depth=5, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.786 | max_depth=5, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7841 | max_depth=7, n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7838 | max_depth=7, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7784 | max_depth=7, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7775 | max_depth=5, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7774 | max_depth=3, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7769 | max_depth=5, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7768 | max_depth=7, n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7762 | max_depth=5, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7753 | max_depth=7, n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7745 | max_depth=7, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7742 | max_depth=7, n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.774 | max_depth=7, n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.771 | max_depth=7, n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7677 | max_depth=5, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7672 | max_depth=7, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7659 | max_depth=5, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7646 | max_depth=3, n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7625 | max_depth=7, n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7601 | max_depth=7, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7572 | max_depth=3, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7562 | max_depth=7, n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7534 | max_depth=5, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7499 | max_depth=5, n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.747 | max_depth=7, n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1 | +| 0.7449 | max_depth=7, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7407 | max_depth=3, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7386 | max_depth=7, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7302 | max_depth=5, n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.7257 | max_depth=3, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.7228 | max_depth=5, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7226 | max_depth=7, n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7215 | max_depth=7, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.7188 | max_depth=3, n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.7183 | max_depth=5, n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1 | +| 0.715 | max_depth=3, n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1 | +| 0.708 | max_depth=5, n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.696 | max_depth=7, n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1 | +| 0.6881 | max_depth=5, n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1 | +| 0.6752 | max_depth=7, n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1 | + ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.8453 | C=1, penalty="l1" | -| 0.8452 | C=0.1, penalty="l1" | -| 0.8427 | C=10, penalty="l1" | -| 0.5045 | C=10, penalty="l2" | -| 0.4753 | C=0.1, penalty="l2" | -| 0.4355 | C=1, penalty="l2" | +| 0.8271 | penalty="l2", C=10 | +| 0.8247 | penalty="l2", C=0.1 | +| 0.8233 | penalty="l2", C=1 | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.8808 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8801 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8796 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8794 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8784 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8772 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.877 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8767 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8767 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8766 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8764 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8761 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8761 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8756 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8756 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8755 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.875 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8749 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8746 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8742 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8732 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.872 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8714 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.8713 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8712 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8695 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.869 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.8682 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8682 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8681 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8659 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8639 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8638 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8636 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.8635 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8622 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8613 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8611 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.8604 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8599 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8595 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8584 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.8576 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8573 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8537 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.8511 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8483 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8396 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8391 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8367 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8325 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8292 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.8275 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8237 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.8223 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8076 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.7977 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.7902 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.7488 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.7487 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9048 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9042 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9037 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9037 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9034 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9034 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9033 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9026 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9022 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9014 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9012 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9011 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.901 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9005 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9003 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9002 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9002 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8998 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8998 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8995 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8991 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.8989 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8987 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8987 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8985 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8983 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8981 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8977 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8977 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8972 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8971 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.8969 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8969 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8961 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=640 | +| 0.8959 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.8957 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8957 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8956 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8945 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8943 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.894 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8936 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8923 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8923 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8922 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8915 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.8898 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8887 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8882 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8882 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8875 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8865 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8857 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8848 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8846 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8844 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8824 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8786 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8773 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8769 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8753 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8735 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8679 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8626 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8594 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8514 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8306 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8136 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.7723 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.8819 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8812 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.881 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8788 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8787 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8787 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8785 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8783 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8776 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8772 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8768 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.876 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8755 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8753 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8752 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8747 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8743 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8719 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8709 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8706 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.87 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8699 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8699 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8696 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.869 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8684 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8622 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8616 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8608 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8581 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8571 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.856 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8527 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8524 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.85 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8482 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8424 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.839 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8366 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8345 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.834 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8284 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8236 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8195 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8194 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.819 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.816 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8144 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8138 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8064 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8062 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8051 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8043 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8038 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8027 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.798 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7949 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7847 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7837 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7817 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7779 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7763 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7686 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7682 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | - -## GaussianNB -| roc_auc.labels.true | params | -|| +| 0.9107 | | diff --git a/tuning_reports/frwiki.goodfaith.md b/tuning_reports/frwiki.goodfaith.md index 0fedf992..ad048959 100644 --- a/tuning_reports/frwiki.goodfaith.md +++ b/tuning_reports/frwiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.frwiki.goodfaith -- Date: 2017-09-07T02:44:35.002303 -- Observations: 19840 +- Date: 2021-02-08T13:35:51.349766 +- Observations: 17438 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.8818 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.8809 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.8807 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.8802 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2" | -| RandomForestClassifier | 0.8802 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| GradientBoosting | 0.8796 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2" | -| RandomForestClassifier | 0.8795 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.8787 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.8786 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.8779 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2" | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9345 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2" | +| GradientBoosting | 0.9342 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2" | +| GradientBoosting | 0.934 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2" | +| GradientBoosting | 0.9337 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2" | +| GradientBoosting | 0.9336 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2" | +| GradientBoosting | 0.9335 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2" | +| GradientBoosting | 0.9335 | learning_rate=0.1, n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2" | +| GradientBoosting | 0.9334 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2" | +| GradientBoosting | 0.9333 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2" | +| GradientBoosting | 0.9333 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2" | # Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8553 | penalty="l1", C=0.1 | -| 0.8494 | penalty="l1", C=1 | -| 0.8466 | penalty="l1", C=10 | -| 0.5134 | penalty="l2", C=0.1 | -| 0.5095 | penalty="l2", C=10 | -| 0.4938 | penalty="l2", C=1 | +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9159 | | -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.8802 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8795 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8787 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8786 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8772 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8766 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8764 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8753 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8745 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8743 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8735 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8733 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8732 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8731 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8725 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8722 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.872 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8714 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.871 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8702 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8696 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8695 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8689 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8687 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8672 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8669 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8667 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8663 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8663 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8663 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8627 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8601 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8596 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8589 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8584 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8582 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8571 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8551 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.855 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8539 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8533 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8527 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8489 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8484 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8453 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8444 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8348 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8343 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8336 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8325 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8318 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8235 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8223 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8141 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8032 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8026 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.7872 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.7856 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.7357 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.733 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8438 | | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.8818 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.8809 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.8807 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.8802 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.8796 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.8779 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.8777 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.8777 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.8766 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.8762 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.8762 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.8759 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.8755 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.8752 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.8737 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.8721 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.8718 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.8714 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.8686 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.8681 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.8669 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.8665 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.866 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.8642 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.863 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.863 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.8625 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.8607 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.86 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.8598 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2" | -| 0.8559 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.8514 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.8513 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.8511 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2" | -| 0.8508 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.8508 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.8504 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.8487 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.8436 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.8364 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2" | -| 0.8358 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.8305 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.8294 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.8289 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.8285 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2" | -| 0.8278 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.8261 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.826 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.8245 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.82 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.8175 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.8162 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.8095 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2" | -| 0.8034 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2" | -| 0.8033 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2" | -| 0.7921 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2" | -| 0.789 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2" | -| 0.7855 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2" | -| 0.7544 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2" | -| 0.7501 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2" | -| 0.7048 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2" | -| 0.6889 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2" | -| 0.6754 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2" | -| 0.5061 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9345 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.9342 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.934 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.9337 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9336 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9335 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9335 | learning_rate=0.1, n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9334 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.9333 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9333 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9332 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9331 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9329 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9329 | learning_rate=0.1, n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9328 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9328 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9328 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9327 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9327 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.9326 | learning_rate=0.1, n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9325 | learning_rate=0.1, n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9324 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9323 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.9322 | learning_rate=0.01, n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.9319 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.9319 | learning_rate=0.01, n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9318 | learning_rate=0.01, n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9318 | learning_rate=0.01, 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learning_rate=0.1, n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.899 | learning_rate=0.5, n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.8989 | learning_rate=1, n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.8982 | learning_rate=0.1, n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.8971 | learning_rate=1, n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.8955 | learning_rate=1, n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.8938 | learning_rate=1, n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.8932 | learning_rate=1, n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.892 | learning_rate=1, n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.8914 | learning_rate=0.5, n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.8912 | learning_rate=0.1, n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.8911 | learning_rate=0.5, n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.8908 | learning_rate=0.5, n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.8902 | learning_rate=1, n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.8895 | learning_rate=0.5, n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.8872 | learning_rate=0.5, n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.8864 | learning_rate=0.5, n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.8864 | learning_rate=0.5, n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.886 | learning_rate=0.1, n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.8826 | learning_rate=0.1, n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.8825 | learning_rate=0.5, n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.8806 | learning_rate=1, n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.8788 | learning_rate=0.1, n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.8771 | learning_rate=0.5, n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.8766 | learning_rate=0.1, n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.8755 | learning_rate=0.1, n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.8733 | learning_rate=0.5, n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.8729 | learning_rate=0.1, n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.8717 | learning_rate=1, n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.8682 | learning_rate=0.1, n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.8672 | learning_rate=0.1, n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.8669 | learning_rate=0.1, n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.8634 | learning_rate=1, n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.8619 | learning_rate=1, n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.8553 | learning_rate=0.1, n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.8551 | learning_rate=0.1, n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.855 | learning_rate=0.1, n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.8543 | learning_rate=1, n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.8542 | learning_rate=0.5, n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.8534 | learning_rate=0.1, n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.8517 | learning_rate=0.5, n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.8511 | learning_rate=0.1, n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.8507 | learning_rate=0.1, n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.8504 | learning_rate=0.1, n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.85 | learning_rate=1, n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.8485 | learning_rate=0.1, n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.8455 | learning_rate=0.5, n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.8449 | learning_rate=1, n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.8434 | learning_rate=0.1, n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.8417 | learning_rate=1, n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.8416 | learning_rate=0.5, n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.8398 | learning_rate=0.1, n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.8396 | learning_rate=0.5, n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.8387 | learning_rate=0.5, n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.837 | learning_rate=0.5, n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.8363 | learning_rate=0.5, n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.8358 | learning_rate=0.5, n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.8349 | learning_rate=0.5, n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.8346 | learning_rate=0.5, n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.8346 | learning_rate=0.5, n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.8346 | learning_rate=0.5, n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.8338 | learning_rate=0.5, n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.8338 | learning_rate=0.5, n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.8336 | learning_rate=0.5, n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.8335 | learning_rate=0.5, n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.8331 | learning_rate=0.5, n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.8325 | learning_rate=0.5, n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.8292 | learning_rate=0.5, n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.8287 | learning_rate=0.5, n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.8281 | learning_rate=0.5, n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.8269 | learning_rate=0.5, n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.8259 | learning_rate=0.5, n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.8256 | learning_rate=0.5, n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.8245 | learning_rate=0.5, n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.8242 | learning_rate=0.5, n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.8241 | learning_rate=0.5, n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.8237 | learning_rate=0.5, n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.8233 | learning_rate=0.5, n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.8229 | learning_rate=0.5, n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.822 | learning_rate=0.5, n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.822 | learning_rate=0.5, n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.822 | learning_rate=0.5, n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.8215 | learning_rate=0.5, n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.8211 | learning_rate=0.5, n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.8206 | learning_rate=0.5, n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.8203 | learning_rate=0.5, n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.8197 | learning_rate=0.5, n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.8196 | learning_rate=0.5, n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.8194 | learning_rate=0.5, n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.8176 | learning_rate=0.5, n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.8173 | learning_rate=0.5, n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.8155 | learning_rate=1, n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.8152 | learning_rate=0.5, n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.8079 | learning_rate=1, n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.7961 | learning_rate=1, n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.795 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.7892 | learning_rate=1, n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.7888 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.7884 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.7878 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.7867 | learning_rate=1, n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.7807 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.779 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.7776 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.7775 | learning_rate=1, n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.7772 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.7743 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.7732 | learning_rate=0.5, n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.7704 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.7691 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.768 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.7667 | learning_rate=1, n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.7643 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.7635 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.7563 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.7529 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.7527 | learning_rate=1, n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.748 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.745 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.7447 | learning_rate=1, n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.743 | learning_rate=1, n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.7404 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.7367 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.7345 | learning_rate=1, n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.7334 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.7322 | learning_rate=1, n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.7284 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.7275 | learning_rate=1, n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.7274 | learning_rate=1, n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.7265 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.726 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.7254 | learning_rate=1, n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.7136 | learning_rate=1, n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.7135 | learning_rate=1, n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.7069 | learning_rate=1, n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.7033 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.6981 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.6898 | learning_rate=1, n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.6824 | learning_rate=1, n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.6824 | learning_rate=1, n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.6765 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.6711 | learning_rate=1, n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.6694 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.6687 | learning_rate=1, n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.6611 | learning_rate=1, n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.6572 | learning_rate=1, n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.6489 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.6467 | learning_rate=1, n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.6403 | learning_rate=1, n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.64 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2" | -## GaussianNB -| roc_auc.labels.true | params | -|| +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9289 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.926 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9258 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9258 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9256 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9255 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9253 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9251 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9251 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9251 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.925 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9243 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9241 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9238 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9238 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9234 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9232 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9231 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9229 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9229 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9228 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9228 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9225 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9221 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.922 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9219 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9218 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9217 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9217 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9216 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9211 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9207 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9207 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9206 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9205 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9202 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9198 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9195 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9183 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9181 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.918 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9171 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9169 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9164 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.916 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9141 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.914 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9131 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9117 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.9114 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.9106 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.91 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.9098 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.9096 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9078 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.9031 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.9031 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.903 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.9021 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8978 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8957 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8947 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8921 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8875 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8791 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8707 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8697 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8672 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8303 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.8129 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.7849 | | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8547 | penalty="l2", C=10 | +| 0.8531 | penalty="l2", C=0.1 | +| 0.8519 | penalty="l2", C=1 | diff --git a/tuning_reports/glwiki.reverted.md b/tuning_reports/glwiki.reverted.md index 70ea3588..fc36b286 100644 --- a/tuning_reports/glwiki.reverted.md +++ b/tuning_reports/glwiki.reverted.md @@ -1,442 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.glwiki.reverted -- Date: 2019-07-03T17:52:08.587343 -- Observations: 59921 +- Date: 2021-02-08T14:00:25.436122 +- Observations: 59582 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| -| GaussianNB | 0.9658 | | -| GradientBoosting | 0.9495 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| GradientBoosting | 0.9495 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| GradientBoosting | 0.9494 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| GradientBoosting | 0.9494 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| GradientBoosting | 0.9493 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| GradientBoosting | 0.9492 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.9492 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| GradientBoosting | 0.9492 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| GradientBoosting | 0.9491 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9762 | | +| GradientBoosting | 0.9513 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| GradientBoosting | 0.951 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| GradientBoosting | 0.951 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9508 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9508 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9503 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9501 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| GradientBoosting | 0.95 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9499 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | # Models ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8011 | | +| 0.803 | | -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9658 | | +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9513 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.951 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.951 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9508 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9508 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9503 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9501 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.95 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9499 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9499 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9498 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9497 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9497 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9496 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9496 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9496 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9495 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9494 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9494 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9493 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9493 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9492 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9492 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9492 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9489 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9487 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9487 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9485 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9482 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9479 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9476 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9476 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9475 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9474 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9474 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9474 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9473 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9473 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9471 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9471 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9471 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.947 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.947 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.947 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.947 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9469 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9469 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9469 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9469 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9469 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9468 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9467 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9466 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9466 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9464 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9464 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9464 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9463 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9463 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9461 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9461 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9461 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.946 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9459 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9459 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9459 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9458 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9457 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9457 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9457 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9456 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9455 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9454 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9454 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9453 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9453 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9452 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9452 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9452 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9452 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9452 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9451 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9451 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.945 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.945 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9449 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9449 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9449 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9448 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9447 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9446 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9443 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9442 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9441 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.944 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9439 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9437 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9437 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9436 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9436 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9436 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9435 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9435 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9434 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9434 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9433 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9432 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9429 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9428 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9427 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9425 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9425 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9423 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9418 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9417 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9415 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9415 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9411 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9406 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.94 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9399 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9397 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9393 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9393 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9391 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9389 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9389 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9387 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9387 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9386 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9378 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9364 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9363 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9356 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9353 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9349 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9343 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9335 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9335 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9332 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9331 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.933 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9326 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9325 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9321 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9319 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9319 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9319 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9319 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9315 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9311 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9311 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.931 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9309 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9307 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9303 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9298 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9298 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9297 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9297 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9296 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9296 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9295 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9294 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9293 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9282 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.928 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.928 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9275 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9266 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9259 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9259 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9253 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9247 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9236 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9227 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9221 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.922 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9215 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9207 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9199 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9191 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.919 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.919 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9186 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9179 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9179 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9169 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9144 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9143 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9141 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9141 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.913 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9129 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9088 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9077 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9071 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9063 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9061 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.906 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.905 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.905 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.905 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9033 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9021 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9018 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9017 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8997 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.8996 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.8991 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8988 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.8945 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8916 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8888 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.886 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.8857 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8837 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.883 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8808 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.8805 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.8783 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8753 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8714 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.8705 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.8629 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.8603 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.8549 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.8546 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.8521 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.8516 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.8467 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.8451 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.8442 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.844 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8436 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8436 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8433 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.8414 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.8412 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.8402 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.8394 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8393 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.838 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8369 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.8357 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.8357 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8347 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.832 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.8315 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8311 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.831 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.8302 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8284 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8284 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.8193 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.8185 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.8148 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.8117 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.7941 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.7938 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.7937 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.789 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.7879 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.7858 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.7797 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.7793 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.7759 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.773 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.7612 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.7601 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.7512 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.7453 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.7394 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.734 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.7329 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.7327 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.7285 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.7225 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.7211 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.7157 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.7124 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.7123 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.7088 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.7071 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.7026 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.7021 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.7019 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.6982 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.6937 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.6933 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.6928 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.6919 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.6918 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.6907 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.6905 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.6903 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.6865 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.6849 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.6844 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.6828 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.6807 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.6796 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.6794 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.679 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.6789 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.674 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.6737 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.6714 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.6662 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.6617 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.6577 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.6567 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.6519 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.6479 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.6432 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.6324 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.623 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.6156 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.5986 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.5597 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9492 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9487 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9487 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9487 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9485 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9475 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9472 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9464 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9464 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.946 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9459 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9455 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9455 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9454 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.945 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.945 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9449 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9436 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9434 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9434 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9428 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9428 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9422 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9421 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9417 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9415 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9414 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9414 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9404 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9401 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9393 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9392 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9389 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9388 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9386 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9383 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9379 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9372 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9371 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9368 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9364 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9351 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9344 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9334 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.933 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.932 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9312 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9307 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9299 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9285 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.927 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9259 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9249 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9236 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9225 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.92 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9193 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.918 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9179 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9173 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9159 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9152 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9143 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9114 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9061 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9056 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9003 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.8912 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.8695 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.8685 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9495 | n_estimators=640, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9486 | n_estimators=640, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9485 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9484 | n_estimators=640, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.948 | n_estimators=640, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9474 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9465 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.946 | n_estimators=640, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9459 | n_estimators=320, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9455 | n_estimators=640, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9455 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9453 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9452 | n_estimators=320, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.945 | n_estimators=80, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9446 | n_estimators=320, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9446 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9445 | n_estimators=160, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9444 | n_estimators=80, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9444 | n_estimators=640, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9442 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9441 | n_estimators=160, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9438 | n_estimators=160, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9435 | n_estimators=320, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9431 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9428 | n_estimators=640, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9426 | n_estimators=40, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9422 | n_estimators=80, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9407 | n_estimators=80, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9404 | n_estimators=80, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9401 | n_estimators=640, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9393 | n_estimators=40, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9384 | n_estimators=40, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9383 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9378 | n_estimators=80, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9376 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9374 | n_estimators=640, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9373 | n_estimators=20, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9373 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9367 | n_estimators=40, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9357 | n_estimators=40, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9357 | n_estimators=40, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9355 | n_estimators=40, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9346 | n_estimators=20, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9339 | n_estimators=80, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9338 | n_estimators=160, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9335 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9326 | n_estimators=20, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9297 | n_estimators=40, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9291 | n_estimators=20, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9289 | n_estimators=20, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9287 | n_estimators=10, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.928 | n_estimators=160, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9269 | n_estimators=10, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9258 | n_estimators=20, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9257 | n_estimators=80, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9217 | n_estimators=10, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9211 | n_estimators=80, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.919 | n_estimators=10, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9164 | n_estimators=10, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9155 | n_estimators=40, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9154 | n_estimators=20, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9137 | n_estimators=20, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9124 | n_estimators=10, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9118 | n_estimators=10, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9106 | n_estimators=40, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9089 | n_estimators=10, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8978 | n_estimators=20, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.8941 | n_estimators=20, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.8745 | n_estimators=10, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.8728 | n_estimators=10, criterion="entropy", min_samples_leaf=1, max_features="log2" | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9762 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9364 | C=0.1, penalty="l1" | -| 0.9347 | C=1, penalty="l1" | -| 0.932 | C=10, penalty="l1" | -| 0.9046 | C=0.1, penalty="l2" | -| 0.8884 | C=1, penalty="l2" | -| 0.886 | C=10, penalty="l2" | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9495 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.9495 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.9494 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9494 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.9493 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.9492 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.9492 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.9491 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.9488 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.9486 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.9484 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.9484 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9483 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.9483 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.9482 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.948 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.948 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.948 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.9479 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.9478 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.9478 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.9478 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9477 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9476 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9475 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9475 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.9474 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.9474 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9472 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.9469 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.9469 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9468 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.9468 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.9467 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.9467 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9466 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.9466 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.9466 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.9465 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.9464 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.9463 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.9463 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.9462 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.9461 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9461 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.946 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.946 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9459 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9457 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.9457 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.9457 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.9457 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.9456 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.9454 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.9453 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.9451 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.945 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.945 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.945 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.945 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.9449 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.9449 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9449 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.9448 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.9445 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9445 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.9445 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9443 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.944 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.944 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9438 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9437 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9436 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.9435 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9435 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.9434 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.9433 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.943 | learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.943 | learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9428 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9428 | learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9426 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9424 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.942 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.9419 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9419 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.9417 | learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.9417 | learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9416 | learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.9415 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.9412 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.9409 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9407 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.9406 | learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9406 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9404 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.9403 | learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9403 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.9402 | learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.9402 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.94 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.9398 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9397 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9396 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9396 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9395 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.9389 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9387 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.9386 | learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9385 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.9385 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.9384 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.9384 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.9384 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9382 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.9381 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.9381 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.938 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.938 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.9379 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.9378 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9378 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.9374 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9371 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.9365 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.9359 | learning_rate=0.1, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9343 | learning_rate=0.1, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9342 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.9336 | learning_rate=0.1, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9335 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.9332 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.9328 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9326 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.9322 | learning_rate=1, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.932 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.9317 | learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.9316 | learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.9315 | learning_rate=0.1, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.9313 | learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9312 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.9311 | learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.931 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.9303 | learning_rate=0.01, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.9303 | learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.93 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.9295 | learning_rate=0.01, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.9293 | learning_rate=0.01, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.9292 | learning_rate=0.01, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.9287 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9287 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.9285 | 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learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.92 | learning_rate=0.5, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.918 | learning_rate=0.5, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9174 | learning_rate=0.5, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.917 | learning_rate=0.01, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.916 | learning_rate=0.01, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.9157 | learning_rate=0.01, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.9157 | learning_rate=0.01, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.9149 | learning_rate=0.01, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.9149 | learning_rate=0.01, max_depth=1, n_estimators=100, 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learning_rate=0.5, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.8918 | learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.8898 | learning_rate=0.5, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.885 | learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.8848 | learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.8841 | learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.8836 | learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.8836 | learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.8831 | learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.881 | learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.8794 | learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.8772 | learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.8764 | learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.8751 | learning_rate=1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.8744 | learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.8734 | learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.8679 | learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.8647 | learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.857 | learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.8568 | learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.855 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.8523 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.8515 | learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.8508 | learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.8474 | learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.8474 | learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.8473 | learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.8466 | learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.8466 | learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.8457 | learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.8447 | learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.8447 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.8392 | learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.8367 | learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.8365 | learning_rate=1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.8365 | learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.8315 | learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.825 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.824 | learning_rate=1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.8231 | learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.8202 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.8187 | learning_rate=1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.8168 | learning_rate=1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.8158 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.815 | learning_rate=1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.8067 | learning_rate=1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.8029 | learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.8007 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.7992 | learning_rate=1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.7788 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.7733 | learning_rate=1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.7728 | learning_rate=1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.7719 | learning_rate=1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.7707 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.7672 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.7669 | learning_rate=1, max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.7662 | learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.7639 | learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.7487 | learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.7427 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.7422 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.7401 | learning_rate=1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.7355 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.7353 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.731 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.7308 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.727 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.7257 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.721 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7 | -| 0.7208 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.7199 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.7196 | learning_rate=1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.7173 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.7153 | learning_rate=1, max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5 | -| 0.7136 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.713 | learning_rate=1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.7109 | learning_rate=1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.7095 | learning_rate=1, max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.7082 | learning_rate=1, max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.7079 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.7046 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.7039 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.7034 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.7025 | learning_rate=1, max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.6999 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.699 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5 | -| 0.6978 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.6939 | learning_rate=1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.688 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.6809 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13 | -| 0.6791 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7 | -| 0.6764 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1 | -| 0.6756 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.6747 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.6697 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.6638 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.6637 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13 | -| 0.6599 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5 | -| 0.6568 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13 | -| 0.652 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.6478 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7 | -| 0.6442 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3 | -| 0.6411 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.6373 | learning_rate=1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1 | -| 0.6309 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3 | -| 0.6273 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1 | -| 0.6265 | learning_rate=1, max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5 | -| 0.6162 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3 | -| 0.6159 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7 | -| 0.6063 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3 | -| 0.6053 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1 | -| 0.6048 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13 | -| 0.5929 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1 | +| 0.9298 | penalty="l2", C=0.1 | +| 0.9291 | penalty="l2", C=10 | +| 0.9287 | penalty="l2", C=1 | diff --git a/tuning_reports/hewiki.damaging.md b/tuning_reports/hewiki.damaging.md index 4ecec11a..581cd78e 100644 --- a/tuning_reports/hewiki.damaging.md +++ b/tuning_reports/hewiki.damaging.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.hewiki.damaging -- Date: 2017-09-07T06:18:49.639387 -- Observations: 19874 +- Date: 2021-02-08T16:03:36.083852 +- Observations: 17668 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.946 | criterion="entropy", n_estimators=320, min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.946 | criterion="gini", n_estimators=320, min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9457 | criterion="entropy", n_estimators=160, min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9445 | criterion="gini", n_estimators=160, min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9442 | criterion="entropy", n_estimators=40, min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9427 | criterion="gini", n_estimators=80, min_samples_leaf=3, max_features="log2" | -| RandomForestClassifier | 0.9425 | criterion="gini", n_estimators=80, min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9425 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | -| RandomForestClassifier | 0.9423 | criterion="entropy", n_estimators=80, min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9416 | criterion="gini", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9039 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7 | +| GradientBoosting | 0.9038 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3 | +| GradientBoosting | 0.9038 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7 | +| GradientBoosting | 0.9035 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13 | +| GradientBoosting | 0.9034 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3 | +| GradientBoosting | 0.9033 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3 | +| GradientBoosting | 0.9031 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5 | +| GradientBoosting | 0.903 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13 | +| GradientBoosting | 0.9025 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13 | +| GradientBoosting | 0.9025 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9384 | learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9377 | learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9372 | learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9349 | learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9346 | learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9346 | learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9343 | learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9342 | learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9342 | learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.933 | learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9329 | learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9328 | learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9327 | learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9324 | learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9323 | learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9317 | learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.931 | learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9298 | learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9295 | learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9294 | learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9291 | learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9286 | learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9283 | learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9283 | learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9279 | learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9277 | learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9275 | learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9271 | learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.927 | learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9269 | learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.925 | learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9248 | learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9247 | learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9238 | learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9235 | learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9231 | learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.923 | learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9225 | learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9225 | learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9223 | learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9213 | learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9213 | learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9212 | learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9208 | learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9206 | learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9178 | learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9172 | learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9169 | learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9154 | learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9146 | learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9137 | learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9131 | learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9119 | learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9104 | learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9099 | learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9099 | learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9034 | learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9023 | learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9018 | learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8999 | learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8896 | learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.8733 | learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8056 | learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.6526 | learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8332 | | - -## GaussianNB -| roc_auc.labels.true | params | -|| - ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.946 | criterion="entropy", n_estimators=320, min_samples_leaf=1, max_features="log2" | -| 0.946 | criterion="gini", n_estimators=320, min_samples_leaf=1, max_features="log2" | -| 0.9457 | criterion="entropy", n_estimators=160, min_samples_leaf=1, max_features="log2" | -| 0.9445 | criterion="gini", n_estimators=160, min_samples_leaf=1, max_features="log2" | -| 0.9442 | criterion="entropy", n_estimators=40, min_samples_leaf=1, max_features="log2" | -| 0.9427 | criterion="gini", n_estimators=80, min_samples_leaf=3, max_features="log2" | -| 0.9425 | criterion="gini", n_estimators=80, min_samples_leaf=1, max_features="log2" | -| 0.9425 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | -| 0.9423 | criterion="entropy", n_estimators=80, min_samples_leaf=1, max_features="log2" | -| 0.9416 | criterion="gini", n_estimators=160, min_samples_leaf=5, max_features="log2" | -| 0.9415 | criterion="gini", n_estimators=160, min_samples_leaf=3, max_features="log2" | -| 0.9412 | criterion="entropy", n_estimators=320, min_samples_leaf=5, max_features="log2" | -| 0.9411 | criterion="entropy", n_estimators=80, min_samples_leaf=3, max_features="log2" | -| 0.9405 | criterion="entropy", n_estimators=80, min_samples_leaf=5, max_features="log2" | -| 0.9404 | criterion="gini", n_estimators=40, min_samples_leaf=5, max_features="log2" | -| 0.94 | criterion="gini", n_estimators=320, min_samples_leaf=5, max_features="log2" | -| 0.9398 | criterion="gini", n_estimators=320, min_samples_leaf=3, max_features="log2" | -| 0.9397 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | -| 0.9396 | criterion="gini", n_estimators=160, min_samples_leaf=7, max_features="log2" | -| 0.9396 | criterion="entropy", n_estimators=160, min_samples_leaf=5, max_features="log2" | -| 0.9395 | criterion="entropy", n_estimators=160, min_samples_leaf=3, max_features="log2" | -| 0.9394 | criterion="entropy", n_estimators=160, min_samples_leaf=7, max_features="log2" | -| 0.9394 | criterion="entropy", n_estimators=40, min_samples_leaf=5, max_features="log2" | -| 0.9391 | criterion="gini", n_estimators=320, min_samples_leaf=7, max_features="log2" | -| 0.9388 | criterion="entropy", n_estimators=80, min_samples_leaf=7, max_features="log2" | -| 0.9388 | criterion="gini", n_estimators=80, min_samples_leaf=5, max_features="log2" | -| 0.9381 | criterion="gini", n_estimators=80, min_samples_leaf=7, max_features="log2" | -| 0.9372 | criterion="entropy", n_estimators=40, min_samples_leaf=3, max_features="log2" | -| 0.937 | criterion="gini", n_estimators=40, min_samples_leaf=1, max_features="log2" | -| 0.9366 | criterion="entropy", n_estimators=10, min_samples_leaf=3, max_features="log2" | -| 0.9365 | criterion="entropy", n_estimators=320, min_samples_leaf=13, max_features="log2" | -| 0.9363 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | -| 0.9362 | criterion="entropy", n_estimators=40, min_samples_leaf=7, max_features="log2" | -| 0.9359 | criterion="gini", n_estimators=40, min_samples_leaf=7, max_features="log2" | -| 0.9359 | criterion="gini", n_estimators=20, min_samples_leaf=3, max_features="log2" | -| 0.9358 | criterion="entropy", n_estimators=20, min_samples_leaf=7, max_features="log2" | -| 0.9358 | criterion="gini", n_estimators=20, min_samples_leaf=5, max_features="log2" | -| 0.9357 | criterion="gini", n_estimators=160, min_samples_leaf=13, max_features="log2" | -| 0.9356 | criterion="gini", n_estimators=20, min_samples_leaf=13, max_features="log2" | -| 0.9349 | criterion="gini", n_estimators=320, min_samples_leaf=13, max_features="log2" | -| 0.9348 | criterion="entropy", n_estimators=80, min_samples_leaf=13, max_features="log2" | -| 0.9347 | criterion="gini", n_estimators=40, min_samples_leaf=3, max_features="log2" | -| 0.9343 | criterion="entropy", n_estimators=40, min_samples_leaf=13, max_features="log2" | -| 0.9341 | criterion="entropy", n_estimators=20, min_samples_leaf=13, max_features="log2" | -| 0.9339 | criterion="gini", n_estimators=10, min_samples_leaf=7, max_features="log2" | -| 0.9337 | criterion="gini", n_estimators=80, min_samples_leaf=13, max_features="log2" | -| 0.933 | criterion="gini", n_estimators=40, min_samples_leaf=13, max_features="log2" | -| 0.9327 | criterion="entropy", n_estimators=20, min_samples_leaf=1, max_features="log2" | -| 0.9326 | criterion="entropy", n_estimators=20, min_samples_leaf=3, max_features="log2" | -| 0.9324 | criterion="entropy", n_estimators=20, min_samples_leaf=5, max_features="log2" | -| 0.9302 | criterion="gini", n_estimators=20, min_samples_leaf=7, max_features="log2" | -| 0.9302 | criterion="entropy", n_estimators=10, min_samples_leaf=7, max_features="log2" | -| 0.93 | criterion="gini", n_estimators=20, min_samples_leaf=1, max_features="log2" | -| 0.9298 | criterion="gini", n_estimators=10, min_samples_leaf=3, max_features="log2" | -| 0.928 | criterion="entropy", n_estimators=10, min_samples_leaf=13, max_features="log2" | -| 0.9258 | criterion="entropy", n_estimators=10, min_samples_leaf=1, max_features="log2" | -| 0.9231 | criterion="entropy", n_estimators=10, min_samples_leaf=5, max_features="log2" | -| 0.9224 | criterion="gini", n_estimators=10, min_samples_leaf=13, max_features="log2" | -| 0.9218 | criterion="gini", n_estimators=10, min_samples_leaf=5, max_features="log2" | -| 0.9197 | criterion="gini", n_estimators=10, min_samples_leaf=1, max_features="log2" | +| 0.9005 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | +| 0.9002 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=640 | +| 0.9001 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=320 | +| 0.9 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=640 | +| 0.8992 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=640 | +| 0.8989 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=320 | +| 0.8984 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=320 | +| 0.8978 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | +| 0.8975 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | +| 0.8971 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=320 | +| 0.897 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=160 | +| 0.8969 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=320 | +| 0.8967 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=640 | +| 0.8965 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=640 | +| 0.8962 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=640 | +| 0.8957 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=320 | +| 0.8953 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=160 | +| 0.8953 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=160 | +| 0.8949 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=640 | +| 0.8944 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | +| 0.8942 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=160 | +| 0.8941 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=320 | +| 0.8941 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=160 | +| 0.8939 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=640 | +| 0.8937 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | +| 0.8936 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=640 | +| 0.8934 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=320 | +| 0.8933 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | +| 0.8933 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=320 | +| 0.8928 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | +| 0.8921 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=20 | +| 0.8914 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | +| 0.8913 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=40 | +| 0.8912 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=80 | +| 0.8908 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=320 | +| 0.8906 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=80 | +| 0.8905 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=80 | +| 0.8903 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=640 | +| 0.8898 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | +| 0.8888 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=40 | +| 0.8881 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=80 | +| 0.8879 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=160 | +| 0.8866 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=80 | +| 0.8857 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=40 | +| 0.8854 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=40 | +| 0.8852 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=40 | +| 0.8845 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=40 | +| 0.8839 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=20 | +| 0.8823 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=10 | +| 0.882 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=20 | +| 0.8817 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=20 | +| 0.8815 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=80 | +| 0.8806 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=20 | +| 0.8795 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=20 | +| 0.8794 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=20 | +| 0.8794 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=80 | +| 0.8755 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=10 | +| 0.8748 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=10 | +| 0.8735 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=10 | +| 0.8732 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=10 | +| 0.8724 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=20 | +| 0.8693 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=40 | +| 0.8666 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=40 | +| 0.8662 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=10 | +| 0.8578 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=10 | +| 0.8529 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=10 | +| 0.8488 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=20 | +| 0.8447 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=20 | +| 0.8182 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=10 | +| 0.8138 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=10 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.8976 | penalty="l1", C=1 | -| 0.8976 | penalty="l1", C=10 | -| 0.8964 | penalty="l1", C=0.1 | -| 0.8255 | penalty="l2", C=1 | -| 0.8205 | penalty="l2", C=10 | -| 0.8021 | penalty="l2", C=0.1 | +| 0.8476 | C=10, penalty="l2" | +| 0.8469 | C=0.1, penalty="l2" | +| 0.8431 | C=1, penalty="l2" | + +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.805 | | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.6451 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9039 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.9038 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.9038 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.9035 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.9034 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.9033 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.9031 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.903 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.9025 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.9025 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.9025 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.9024 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.9024 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.9024 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.9023 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.9023 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.9022 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.9022 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.9021 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.9021 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.9021 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.9021 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.902 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.9019 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.9017 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.9017 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.9016 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.9016 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.9016 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.9016 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.9015 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.9015 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.9015 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.9014 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.9014 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.9013 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.9013 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.9013 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.9012 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.901 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.901 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.9008 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.9008 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.9005 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.9004 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.9003 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.9003 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.9003 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.9002 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.9002 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.9001 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.9001 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.9 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.8998 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.8998 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.8998 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.8998 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.8997 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.8996 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.8995 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.8994 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.8993 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.8993 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.8993 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.8992 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.8991 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.8989 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.8988 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.8986 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.8986 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.8984 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.8983 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.8983 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.898 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.8977 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.8977 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.8976 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.8976 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.8976 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.8975 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.8974 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.8973 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.8972 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.8971 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.897 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.8969 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.8968 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.8968 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.8961 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.8961 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.896 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.8959 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.8958 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.8957 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.8957 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.8957 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.8957 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.8956 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.8955 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.8955 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.8954 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.8948 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.8947 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.8947 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.8947 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.8946 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.8943 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.8941 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.8938 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.8937 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.8934 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.893 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.893 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.8921 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.8917 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.8916 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.8912 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.891 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.8909 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.8909 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.8907 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.8907 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.8905 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.8899 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.8898 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.8893 | 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n_estimators=300, min_samples_leaf=1 | +| 0.797 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.7968 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.7951 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.795 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.7949 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.7919 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.7915 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.7913 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.789 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.7873 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.7859 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.7806 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.7781 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.7767 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.7759 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.7754 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.7752 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.7725 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.7722 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.7717 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.7699 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.7687 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.7686 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.7668 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.7665 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.7663 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.7661 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.7659 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.7654 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.7654 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.7651 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.7613 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.7606 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.7601 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.7589 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.7586 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.7571 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.757 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.7548 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.7524 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.7523 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.7518 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.7467 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.7448 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.7383 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.7352 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.7285 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.7272 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.7271 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.7179 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.6831 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500, min_samples_leaf=7 | diff --git a/tuning_reports/hewiki.goodfaith.md b/tuning_reports/hewiki.goodfaith.md index bde69415..703c941c 100644 --- a/tuning_reports/hewiki.goodfaith.md +++ b/tuning_reports/hewiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.hewiki.goodfaith -- Date: 2017-09-07T10:08:02.583444 -- Observations: 19874 +- Date: 2021-02-08T17:21:05.711990 +- Observations: 17668 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.964 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9633 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9619 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9619 | n_estimators=40, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9618 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9612 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9608 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9599 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9598 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9594 | n_estimators=40, min_samples_leaf=5, max_features="log2", criterion="gini" | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:-------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9323 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9313 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| RandomForestClassifier | 0.9313 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| RandomForestClassifier | 0.9312 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| GradientBoosting | 0.9309 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| RandomForestClassifier | 0.9308 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| RandomForestClassifier | 0.9305 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| GradientBoosting | 0.9303 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1 | +| RandomForestClassifier | 0.93 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| GradientBoosting | 0.9299 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5 | # Models -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8524 | | +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9283 | | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9564 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.9562 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.9553 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.9543 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.9535 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.9532 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.953 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.9529 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.9522 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.951 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.9508 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9503 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.95 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.9494 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.9493 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2" | -| 0.9491 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.949 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.9487 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9486 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.9484 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.9479 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.9475 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.9468 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2" | -| 0.9465 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9463 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.946 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.946 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.9454 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9451 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.945 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.944 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2" | -| 0.9426 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.9425 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9416 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2" | -| 0.9414 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.9413 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9413 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2" | -| 0.9392 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.9389 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9388 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.9386 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2" | -| 0.9377 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9375 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9364 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9361 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9361 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.9334 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2" | -| 0.933 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9329 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.9308 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.9295 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.9292 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.929 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9272 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.9268 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9255 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.9222 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9117 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.9087 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.9064 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9011 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.8955 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.8952 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2" | -| 0.8837 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9323 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| 0.9313 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| 0.9309 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| 0.9303 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1 | +| 0.9299 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5 | +| 0.9298 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3 | +| 0.9296 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1 | +| 0.9295 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1 | +| 0.9295 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1 | +| 0.9295 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3 | +| 0.9295 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1 | +| 0.9295 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| 0.9294 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5 | +| 0.9293 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1 | +| 0.9292 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3 | +| 0.929 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3 | +| 0.929 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5 | +| 0.9289 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1 | +| 0.9289 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3 | +| 0.9289 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5 | +| 0.9289 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1 | +| 0.9289 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3 | +| 0.9289 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5 | +| 0.9287 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3 | +| 0.9287 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5 | +| 0.9286 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3 | +| 0.9286 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3 | +| 0.9286 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3 | +| 0.9285 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1 | +| 0.9285 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3 | +| 0.9285 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3 | +| 0.9285 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3 | +| 0.9284 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3 | +| 0.9284 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1 | +| 0.9284 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5 | +| 0.9283 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1 | +| 0.9283 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1 | +| 0.9282 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5 | +| 0.9282 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7 | +| 0.9282 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5 | +| 0.9281 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3 | +| 0.928 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1 | +| 0.9279 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1 | +| 0.9279 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3 | +| 0.9278 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7 | +| 0.9278 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5 | +| 0.9277 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1 | +| 0.9276 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1 | +| 0.9276 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5 | +| 0.9275 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7 | +| 0.9275 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7 | +| 0.9274 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7 | +| 0.9273 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3 | +| 0.9273 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3 | +| 0.9272 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3 | +| 0.9272 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7 | +| 0.9271 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7 | +| 0.9271 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5 | +| 0.9271 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1 | +| 0.927 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1 | +| 0.927 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7 | +| 0.927 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7 | +| 0.9269 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1 | +| 0.9269 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5 | +| 0.9269 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5 | +| 0.9269 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5 | +| 0.9268 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1 | +| 0.9268 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7 | +| 0.9268 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7 | +| 0.9268 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5 | +| 0.9267 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7 | +| 0.9266 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7 | +| 0.9266 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5 | +| 0.9265 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1 | +| 0.9265 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1 | +| 0.9265 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5 | +| 0.9264 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5 | +| 0.9263 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1 | +| 0.9262 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1 | +| 0.9262 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7 | +| 0.926 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1 | +| 0.9259 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3 | +| 0.9259 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7 | +| 0.9258 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5 | +| 0.9258 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3 | +| 0.9257 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3 | +| 0.9257 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1 | +| 0.9256 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1 | +| 0.9256 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7 | +| 0.9254 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5 | +| 0.9252 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1 | +| 0.9251 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7 | +| 0.925 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1 | +| 0.9244 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7 | +| 0.9243 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7 | +| 0.9238 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3 | +| 0.9234 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5 | +| 0.9233 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3 | +| 0.9233 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3 | +| 0.9233 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7 | +| 0.9233 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5 | +| 0.923 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5 | +| 0.9228 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7 | +| 0.9224 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1 | +| 0.922 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1 | +| 0.9215 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1 | +| 0.9212 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1 | +| 0.9212 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1 | +| 0.9205 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1 | +| 0.9205 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1 | +| 0.9196 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5 | +| 0.9194 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3 | +| 0.919 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3 | +| 0.9189 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7 | +| 0.9186 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3 | +| 0.9175 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3 | +| 0.9172 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3 | +| 0.9169 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3 | +| 0.9168 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1 | +| 0.9168 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1 | +| 0.9165 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7 | +| 0.9165 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5 | +| 0.9163 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=1, max_depth=1 | +| 0.9162 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1 | +| 0.9161 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7 | +| 0.916 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3 | +| 0.9155 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3 | +| 0.9154 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3 | +| 0.9152 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1 | +| 0.9151 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7 | +| 0.9151 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1 | +| 0.9148 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3 | +| 0.9148 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5 | +| 0.9143 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1 | +| 0.9142 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3 | +| 0.9132 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=1, max_depth=1 | +| 0.9131 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=1, max_depth=1 | +| 0.9127 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=1, max_depth=1 | +| 0.9126 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1 | +| 0.9123 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1 | +| 0.9121 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1 | +| 0.912 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1 | +| 0.9118 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5 | +| 0.9116 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1 | +| 0.9116 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1 | +| 0.9112 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5 | +| 0.9111 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3 | +| 0.911 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1 | +| 0.911 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3 | +| 0.9109 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1 | +| 0.9102 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=1, max_depth=1 | +| 0.91 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3 | +| 0.9099 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3 | +| 0.9097 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1 | +| 0.9093 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5 | +| 0.909 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5 | +| 0.9086 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5 | +| 0.9085 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3 | +| 0.9068 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5 | +| 0.9061 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5 | +| 0.9061 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1 | +| 0.9059 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5 | +| 0.9059 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1 | +| 0.9056 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=1, max_depth=1 | +| 0.9051 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7 | +| 0.905 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3 | +| 0.9042 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1 | +| 0.9042 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1 | +| 0.903 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3 | +| 0.9021 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1 | +| 0.902 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=1, max_depth=1 | +| 0.9018 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=1, max_depth=1 | +| 0.8981 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=1, max_depth=1 | +| 0.8969 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=1, max_depth=1 | +| 0.8961 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3 | +| 0.8957 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=1, max_depth=1 | +| 0.8953 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7 | +| 0.8937 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=1, max_depth=1 | +| 0.8934 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=1, max_depth=1 | +| 0.8929 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7 | +| 0.8924 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3 | +| 0.892 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=1, max_depth=1 | +| 0.8919 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=1, max_depth=1 | +| 0.8911 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=1, max_depth=1 | +| 0.891 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5 | +| 0.8909 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3 | +| 0.8899 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=1, max_depth=1 | +| 0.8885 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5 | +| 0.8884 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=1, max_depth=1 | +| 0.8877 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=1, max_depth=1 | +| 0.8876 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=1, max_depth=1 | +| 0.8873 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7 | +| 0.8864 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3 | +| 0.8847 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5 | +| 0.8846 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3 | +| 0.8839 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3 | +| 0.8834 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3 | +| 0.8816 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5 | +| 0.8806 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5 | +| 0.8803 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5 | +| 0.8798 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5 | +| 0.8773 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5 | +| 0.8772 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5 | +| 0.8723 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5 | +| 0.8705 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7 | +| 0.8627 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3 | +| 0.8624 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3 | +| 0.861 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3 | +| 0.8607 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3 | +| 0.8548 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3 | +| 0.8544 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=1, max_depth=3 | +| 0.8474 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=1, max_depth=3 | +| 0.845 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=1, max_depth=3 | +| 0.8418 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=1, max_depth=3 | +| 0.838 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3 | +| 0.8379 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7 | +| 0.8376 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=1, max_depth=3 | +| 0.8363 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7 | +| 0.8291 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7 | +| 0.8283 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7 | +| 0.8283 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7 | +| 0.8269 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3 | +| 0.8237 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7 | +| 0.8232 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=1, max_depth=3 | +| 0.822 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7 | +| 0.8211 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3 | +| 0.8206 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3 | +| 0.82 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7 | +| 0.8186 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7 | +| 0.8168 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7 | +| 0.8154 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7 | +| 0.8146 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7 | +| 0.8072 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5 | +| 0.8067 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3 | +| 0.8062 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5 | +| 0.8056 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=1, max_depth=3 | +| 0.8047 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5 | +| 0.8038 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7 | +| 0.8036 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7 | +| 0.8036 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7 | +| 0.8032 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7 | +| 0.8026 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7 | +| 0.8025 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=1, max_depth=3 | +| 0.8024 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7 | +| 0.8018 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7 | +| 0.8011 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7 | +| 0.8003 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5 | +| 0.7994 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5 | +| 0.7983 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5 | +| 0.7978 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7 | +| 0.7968 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5 | +| 0.7967 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7 | +| 0.7957 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7 | +| 0.7955 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=1, max_depth=5 | +| 0.7946 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5 | +| 0.794 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7 | +| 0.7938 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7 | +| 0.7937 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5 | +| 0.7937 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5 | +| 0.7936 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7 | +| 0.7936 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7 | +| 0.7931 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=1, max_depth=7 | +| 0.7927 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5 | +| 0.792 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5 | +| 0.792 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7 | +| 0.7895 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=1, max_depth=5 | +| 0.7869 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5 | +| 0.7859 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5 | +| 0.7852 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=1, max_depth=3 | +| 0.7844 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7 | +| 0.7823 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=1, max_depth=3 | +| 0.7799 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7 | +| 0.7796 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=1, max_depth=7 | +| 0.777 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=1, max_depth=3 | +| 0.7765 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5 | +| 0.7765 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=1, max_depth=3 | +| 0.7763 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=1, max_depth=7 | +| 0.7751 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=1, max_depth=5 | +| 0.7722 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=1, max_depth=3 | +| 0.7673 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=1, max_depth=5 | +| 0.767 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=1, max_depth=7 | +| 0.7668 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=1, max_depth=5 | +| 0.7664 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=1, max_depth=5 | +| 0.7645 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=1, max_depth=5 | +| 0.7632 | min_samples_leaf=5, max_features="log2", n_estimators=100, learning_rate=1, max_depth=7 | +| 0.763 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=1, max_depth=7 | +| 0.7604 | min_samples_leaf=3, max_features="log2", n_estimators=700, learning_rate=1, max_depth=3 | +| 0.7602 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=1, max_depth=5 | +| 0.7522 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=1, max_depth=7 | +| 0.752 | min_samples_leaf=1, max_features="log2", n_estimators=100, learning_rate=1, max_depth=7 | +| 0.7516 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=1, max_depth=5 | +| 0.7509 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=1, max_depth=5 | +| 0.7498 | min_samples_leaf=1, max_features="log2", n_estimators=300, learning_rate=1, max_depth=7 | +| 0.7493 | min_samples_leaf=3, max_features="log2", n_estimators=100, learning_rate=1, max_depth=7 | +| 0.7475 | min_samples_leaf=1, max_features="log2", n_estimators=500, learning_rate=1, max_depth=7 | +| 0.7474 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=1, max_depth=7 | +| 0.7471 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=1, max_depth=5 | +| 0.7377 | min_samples_leaf=5, max_features="log2", n_estimators=300, learning_rate=1, max_depth=7 | +| 0.7339 | min_samples_leaf=3, max_features="log2", n_estimators=300, learning_rate=1, max_depth=5 | +| 0.7334 | min_samples_leaf=13, max_features="log2", n_estimators=300, learning_rate=1, max_depth=5 | +| 0.7284 | min_samples_leaf=1, max_features="log2", n_estimators=700, learning_rate=1, max_depth=3 | +| 0.7277 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=1, max_depth=3 | +| 0.7259 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=1, max_depth=5 | +| 0.7213 | min_samples_leaf=7, max_features="log2", n_estimators=100, learning_rate=1, max_depth=7 | +| 0.7208 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=1, max_depth=5 | +| 0.7169 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=1, max_depth=5 | +| 0.7096 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=1, max_depth=5 | +| 0.7072 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=1, max_depth=7 | +| 0.7042 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=1, max_depth=7 | +| 0.6966 | min_samples_leaf=7, max_features="log2", n_estimators=700, learning_rate=1, max_depth=3 | +| 0.6964 | min_samples_leaf=3, max_features="log2", n_estimators=500, learning_rate=1, max_depth=3 | +| 0.6958 | min_samples_leaf=13, max_features="log2", n_estimators=100, learning_rate=1, max_depth=7 | +| 0.6833 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=1, max_depth=3 | +| 0.6818 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=1, max_depth=5 | +| 0.6757 | min_samples_leaf=5, max_features="log2", n_estimators=700, learning_rate=1, max_depth=7 | +| 0.6683 | min_samples_leaf=7, max_features="log2", n_estimators=300, learning_rate=1, max_depth=7 | +| 0.6667 | min_samples_leaf=7, max_features="log2", n_estimators=500, learning_rate=1, max_depth=7 | +| 0.6617 | min_samples_leaf=13, max_features="log2", n_estimators=500, learning_rate=1, max_depth=3 | +| 0.6609 | min_samples_leaf=13, max_features="log2", n_estimators=700, learning_rate=1, max_depth=5 | +| 0.6523 | min_samples_leaf=5, max_features="log2", n_estimators=500, learning_rate=1, max_depth=5 | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.964 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9633 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.9619 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9619 | n_estimators=40, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9618 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.9612 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9608 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9599 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9598 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9594 | n_estimators=40, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9593 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.959 | n_estimators=320, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9583 | n_estimators=160, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9582 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.958 | n_estimators=80, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.958 | n_estimators=160, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9578 | n_estimators=80, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9574 | n_estimators=320, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9573 | n_estimators=160, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9569 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.9569 | n_estimators=160, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9568 | n_estimators=80, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9567 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9566 | n_estimators=40, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9565 | n_estimators=40, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9564 | n_estimators=80, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9561 | n_estimators=80, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9544 | n_estimators=20, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9543 | n_estimators=20, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9542 | n_estimators=80, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9541 | n_estimators=320, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9536 | n_estimators=40, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9533 | n_estimators=40, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9531 | n_estimators=20, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.953 | n_estimators=320, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.953 | n_estimators=40, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9527 | n_estimators=160, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9525 | n_estimators=160, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9521 | n_estimators=80, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9516 | n_estimators=80, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9511 | n_estimators=40, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9508 | n_estimators=20, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9504 | n_estimators=40, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.95 | n_estimators=20, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9498 | n_estimators=10, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9495 | n_estimators=10, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9495 | n_estimators=20, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9492 | n_estimators=20, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.9491 | n_estimators=20, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9489 | n_estimators=40, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.9482 | n_estimators=20, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9467 | n_estimators=20, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9466 | n_estimators=10, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9465 | n_estimators=10, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9463 | n_estimators=10, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9451 | n_estimators=10, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9445 | n_estimators=10, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9405 | n_estimators=10, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9403 | n_estimators=10, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9358 | n_estimators=10, min_samples_leaf=1, max_features="log2", criterion="gini" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9313 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9312 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9308 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9305 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.93 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9289 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9288 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9286 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9279 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9277 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9274 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9268 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9268 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9267 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9265 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9264 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9262 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9258 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9258 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9256 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9256 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9255 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.924 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9233 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.923 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9229 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9224 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.922 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9218 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9215 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9214 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.921 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9208 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9199 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9199 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9193 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9193 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9192 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9188 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9179 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9178 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9168 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9161 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9157 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.9152 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.914 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9129 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9116 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9091 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.909 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9083 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9067 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.9066 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.903 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.9028 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.899 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8977 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8977 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8965 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8952 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8927 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.89 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8839 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8813 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.8774 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8752 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8708 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8605 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8204 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.8097 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9108 | C=10, penalty="l1" | -| 0.9106 | C=0.1, penalty="l1" | -| 0.9099 | C=1, penalty="l1" | -| 0.8764 | C=1, penalty="l2" | -| 0.852 | C=0.1, penalty="l2" | -| 0.851 | C=10, penalty="l2" | +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.854 | | -## GaussianNB -| roc_auc.labels.true | params | -|| +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8727 | C=10, penalty="l2" | +| 0.8698 | C=1, penalty="l2" | +| 0.867 | C=0.1, penalty="l2" | diff --git a/tuning_reports/hrwiki.reverted.md b/tuning_reports/hrwiki.reverted.md index 141d64a7..02b972f8 100644 --- a/tuning_reports/hrwiki.reverted.md +++ b/tuning_reports/hrwiki.reverted.md @@ -1,157 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.6 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.hrwiki.reverted -- Date: 2017-09-11T19:59:43.867048 -- Observations: 19767 +- Date: 2021-02-08T18:41:08.936870 +- Observations: 19601 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9249 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1 | -| GradientBoosting | 0.9245 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01 | -| RandomForestClassifier | 0.9243 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| GradientBoosting | 0.9242 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01 | -| RandomForestClassifier | 0.9237 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| GradientBoosting | 0.9236 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1 | -| GradientBoosting | 0.9236 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01 | -| GradientBoosting | 0.9232 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1 | -| RandomForestClassifier | 0.9231 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| GradientBoosting | 0.923 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| +| GaussianNB | 0.9426 | | +| RandomForestClassifier | 0.9178 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| RandomForestClassifier | 0.9177 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| RandomForestClassifier | 0.9173 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| RandomForestClassifier | 0.9172 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| RandomForestClassifier | 0.9168 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| RandomForestClassifier | 0.9167 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| RandomForestClassifier | 0.9166 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| RandomForestClassifier | 0.9166 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| RandomForestClassifier | 0.9165 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | # Models +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9178 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9177 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9173 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9172 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9168 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9167 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9166 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9166 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9165 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9165 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9158 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9157 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9157 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9152 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.915 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9149 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9147 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9146 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9145 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9145 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9144 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9143 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9137 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9136 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9136 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9136 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9135 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9135 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9134 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9133 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9131 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9128 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9124 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9123 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9122 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.912 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9119 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9118 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9115 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9115 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9113 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9111 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.911 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9107 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9102 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.91 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9097 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9096 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9094 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9077 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9074 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9066 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9058 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9055 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9054 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9049 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9001 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.8999 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.8994 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.8989 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.8977 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.8975 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.8975 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.8967 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.8906 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.8855 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.8854 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.881 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.8608 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.8526 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=1 | + ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9249 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9245 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9242 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9236 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9236 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9232 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.923 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9229 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9227 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9225 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9224 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9223 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9221 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9218 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9217 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9217 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.921 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9205 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.92 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9199 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9194 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9191 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9187 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9185 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9181 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.918 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9178 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9178 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9175 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9167 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9159 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9156 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9154 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9153 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9146 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9127 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9126 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.911 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9107 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9105 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.9105 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9103 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9099 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9098 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9094 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9093 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9093 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9092 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9086 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.9052 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9045 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.9006 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8999 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8984 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8954 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8948 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.8935 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8929 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8927 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8924 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8886 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8662 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1 | -| 0.846 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1 | -| 0.708 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9145 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.9145 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9143 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9141 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9136 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9136 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9135 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9134 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9132 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9131 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9131 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.913 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9129 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9128 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9128 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9127 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9127 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9126 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9126 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9125 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9125 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9124 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9124 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9122 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9122 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.912 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9119 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9118 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9116 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9116 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9116 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9115 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9114 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.9114 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9114 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9114 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9114 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.9113 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.9113 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.9112 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9111 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01 | +| 0.9111 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1 | +| 0.911 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9109 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9109 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9107 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9106 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9103 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9103 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9102 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1 | +| 0.9102 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9101 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1 | +| 0.91 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9099 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9099 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9098 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9096 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9096 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9095 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1 | +| 0.9095 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9095 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9094 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9094 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9093 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01 | +| 0.9093 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9092 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.909 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.909 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.909 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01 | +| 0.909 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9089 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9089 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9087 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9086 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01 | +| 0.9085 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9085 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9085 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9083 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9083 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1 | +| 0.9083 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9082 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9081 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9081 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9081 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.9079 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9079 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9079 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9078 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9078 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9078 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9077 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.9077 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9077 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.9076 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9075 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9075 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9075 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9074 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01 | +| 0.9074 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9073 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9072 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.907 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1 | +| 0.907 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.907 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9069 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.9068 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01 | +| 0.9068 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9068 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9068 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9066 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.9066 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9063 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.9063 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9062 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1 | +| 0.9061 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1 | +| 0.906 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9059 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9059 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9058 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9056 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01 | +| 0.9055 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9055 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01 | +| 0.9054 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.9054 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9054 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01 | +| 0.9054 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9054 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9051 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.9051 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9051 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1 | +| 0.9051 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1 | +| 0.9049 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1 | +| 0.9049 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1 | +| 0.9048 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.9047 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.9046 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.9045 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1 | +| 0.9042 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9042 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.9041 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.904 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9039 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.9038 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9038 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.9035 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.9034 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9031 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01 | +| 0.9031 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.903 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.9026 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01 | +| 0.9024 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.9024 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.9023 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.9021 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.902 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.902 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1 | +| 0.9018 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.9017 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.9015 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1 | +| 0.9014 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.9013 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.901 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.9009 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01 | +| 0.9005 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.9002 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01 | +| 0.9002 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.9 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1 | +| 0.8999 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.8999 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.8995 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.8993 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01 | +| 0.8992 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.8992 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5 | +| 0.899 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.8988 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.8988 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01 | +| 0.8987 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1 | +| 0.8984 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.8982 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.8981 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1 | +| 0.8981 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5 | +| 0.8981 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.8981 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1 | +| 0.8979 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.8975 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.8974 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1 | +| 0.8972 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1 | +| 0.897 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5 | +| 0.897 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.8963 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.8962 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.896 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1 | +| 0.8956 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5 | +| 0.8953 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.8943 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.8931 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.893 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.8919 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.8919 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.8919 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.8914 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.8912 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.8908 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.8896 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.8886 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.8885 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.8884 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.8876 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01 | +| 0.8874 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.8872 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.8864 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.886 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01 | +| 0.8859 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.8859 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.8857 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01 | +| 0.8851 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5 | +| 0.8848 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5 | +| 0.8842 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.8835 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.8823 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5 | +| 0.8822 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8819 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01 | +| 0.8814 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1 | +| 0.8814 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.8812 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5 | +| 0.8806 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5 | +| 0.8804 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.8802 | n_estimators=100, max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01 | +| 0.8802 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.8782 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.8767 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.8761 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.876 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5 | +| 0.8754 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.8737 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.8736 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8706 | n_estimators=300, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.8703 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.8689 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.8665 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.8664 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1 | +| 0.8655 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.8647 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.8639 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.8635 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.8629 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.8623 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.8612 | n_estimators=500, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.8611 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.8603 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.8581 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.8576 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.856 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.8559 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8519 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.8513 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5 | +| 0.8507 | n_estimators=100, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8494 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5 | +| 0.8467 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1 | +| 0.846 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.8448 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.8434 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5 | +| 0.8433 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5 | +| 0.8433 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.8426 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1 | +| 0.8405 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.8402 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.8396 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5 | +| 0.8392 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.8381 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.8375 | n_estimators=300, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.8366 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.8362 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.8361 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5 | +| 0.8351 | n_estimators=100, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.8324 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5 | +| 0.8321 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5 | +| 0.8314 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.8305 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.8296 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.8284 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.8281 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.8261 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1 | +| 0.8252 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5 | +| 0.8242 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.8229 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.8229 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5 | +| 0.8227 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1 | +| 0.8184 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8174 | n_estimators=700, max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1 | +| 0.8152 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.8143 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.8114 | n_estimators=700, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.8114 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.8103 | n_estimators=100, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.8099 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1 | +| 0.8083 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.8041 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.8032 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.7983 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | +| 0.798 | n_estimators=300, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.7957 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.7942 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1 | +| 0.793 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.7881 | n_estimators=500, max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1 | +| 0.7872 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.7852 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.7721 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.7578 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1 | +| 0.7561 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.7544 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1 | +| 0.7489 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.7433 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.7364 | n_estimators=500, max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1 | +| 0.7359 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1 | +| 0.7137 | n_estimators=300, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.7136 | n_estimators=700, max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1 | +| 0.711 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1 | +| 0.6978 | n_estimators=700, max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1 | +| 0.624 | n_estimators=500, max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1 | + +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8451 | | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9426 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9132 | C=1, penalty="l1" | -| 0.9112 | C=10, penalty="l1" | -| 0.9109 | C=0.1, penalty="l1" | -| 0.9054 | C=0.1, penalty="l2" | -| 0.8797 | C=1, penalty="l2" | -| 0.8751 | C=10, penalty="l2" | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8346 | | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9243 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9237 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9231 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9225 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9225 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9223 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9222 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9221 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.922 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9217 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9217 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9217 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9215 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9213 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9211 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9206 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9204 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9202 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.9197 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9196 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9194 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.919 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9186 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9179 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9173 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.9171 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9161 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.916 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9158 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9155 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9152 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9145 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9138 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.911 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9108 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9107 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9076 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9013 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.901 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9005 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8794 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.873 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9 | C=0.1, penalty="l2" | +| 0.8993 | C=1, penalty="l2" | +| 0.8988 | C=10, penalty="l2" | diff --git a/tuning_reports/huwiki.damaging.md b/tuning_reports/huwiki.damaging.md index eac85c25..78f55cf8 100644 --- a/tuning_reports/huwiki.damaging.md +++ b/tuning_reports/huwiki.damaging.md @@ -1,442 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.huwiki.damaging -- Date: 2019-07-23T00:16:44.934365 -- Observations: 37729 +- Date: 2021-02-08T20:21:58.244306 +- Observations: 37408 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-------------------|----------------------:|:-------------------------------------------------------------------------------------------| -| GradientBoosting | 0.9649 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=1, n_estimators=700 | -| GradientBoosting | 0.9643 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=3, n_estimators=100 | -| GradientBoosting | 0.9639 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=1, n_estimators=700 | -| LogisticRegression | 0.9638 | penalty="l1", C=1 | -| GradientBoosting | 0.9638 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=1, n_estimators=700 | -| GradientBoosting | 0.9636 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=1, n_estimators=500 | -| GradientBoosting | 0.9634 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=1, n_estimators=500 | -| GradientBoosting | 0.9632 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=1, n_estimators=700 | -| GradientBoosting | 0.9632 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=1, n_estimators=700 | -| GradientBoosting | 0.963 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=1, n_estimators=500 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9637 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| GradientBoosting | 0.9635 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700 | +| GradientBoosting | 0.9631 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| GradientBoosting | 0.963 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| GradientBoosting | 0.9627 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| GradientBoosting | 0.9626 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| GradientBoosting | 0.9626 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300 | +| GradientBoosting | 0.9625 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| GradientBoosting | 0.9625 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| GradientBoosting | 0.9624 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700 | # Models -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8847 | | +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.9164 | penalty="l2", C=0.1 | +| 0.9114 | penalty="l2", C=10 | +| 0.9107 | penalty="l2", C=1 | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9606 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=640 | -| 0.9605 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=640 | -| 0.96 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=640 | -| 0.9599 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | -| 0.9598 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=320 | -| 0.9589 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | -| 0.958 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=640 | -| 0.9578 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | -| 0.9576 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | -| 0.9563 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=320 | -| 0.9563 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=320 | -| 0.956 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | -| 0.956 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | -| 0.9554 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | -| 0.9554 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | -| 0.9553 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=640 | -| 0.9551 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | -| 0.955 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=640 | -| 0.9549 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=640 | -| 0.9537 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | -| 0.9528 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | -| 0.9527 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=640 | -| 0.9523 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | -| 0.9522 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=640 | -| 0.9515 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | -| 0.951 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | -| 0.951 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | -| 0.9508 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | -| 0.9507 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | -| 0.9502 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | -| 0.9496 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | -| 0.9487 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | -| 0.9484 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | -| 0.9473 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | -| 0.9468 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | -| 0.9463 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=640 | -| 0.946 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | -| 0.9451 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | -| 0.9444 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | -| 0.9434 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | -| 0.9427 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | -| 0.9424 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | -| 0.941 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | -| 0.94 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | -| 0.9389 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | -| 0.9369 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | -| 0.9366 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | -| 0.9365 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | -| 0.9336 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | -| 0.9313 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | -| 0.9311 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | -| 0.9311 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | -| 0.9296 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | -| 0.9283 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | -| 0.9281 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | -| 0.928 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | -| 0.927 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | -| 0.9256 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | -| 0.9245 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | -| 0.9227 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | -| 0.9212 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | -| 0.912 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | -| 0.9112 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | -| 0.9094 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | -| 0.9013 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | -| 0.8977 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | -| 0.8909 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | -| 0.888 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | -| 0.8496 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | -| 0.8491 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9638 | penalty="l1", C=1 | -| 0.962 | penalty="l1", C=10 | -| 0.96 | penalty="l1", C=0.1 | -| 0.8282 | penalty="l2", C=10 | -| 0.8225 | penalty="l2", C=1 | -| 0.8209 | penalty="l2", C=0.1 | +| 0.9615 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=320 | +| 0.9609 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=640 | +| 0.9601 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=640 | +| 0.9597 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=640 | +| 0.9591 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=320 | +| 0.9591 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | +| 0.9587 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | +| 0.9585 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | +| 0.958 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=640 | +| 0.9578 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=320 | +| 0.9576 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=160 | +| 0.9561 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=320 | +| 0.9555 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=640 | +| 0.9554 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=320 | +| 0.9553 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=640 | +| 0.9552 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=640 | +| 0.9544 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | +| 0.9544 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=80 | +| 0.9543 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=320 | +| 0.9542 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=320 | +| 0.9542 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=640 | +| 0.9537 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=80 | +| 0.9536 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | +| 0.9534 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | +| 0.9533 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=640 | +| 0.9533 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=320 | +| 0.953 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=320 | +| 0.9517 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | +| 0.9514 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=40 | +| 0.9513 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=160 | +| 0.9512 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=160 | +| 0.9505 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=640 | +| 0.9503 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=160 | +| 0.9499 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=160 | +| 0.9482 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=80 | +| 0.9481 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=40 | +| 0.9473 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=320 | +| 0.9473 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=80 | +| 0.9472 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=20 | +| 0.9459 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=20 | +| 0.9458 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=40 | +| 0.9424 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | +| 0.9421 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=80 | +| 0.942 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=20 | +| 0.941 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=40 | +| 0.9409 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=40 | +| 0.9405 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=160 | +| 0.9397 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=40 | +| 0.9393 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | +| 0.9349 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=20 | +| 0.9344 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=10 | +| 0.9343 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=80 | +| 0.9336 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=20 | +| 0.9318 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=20 | +| 0.9315 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=10 | +| 0.931 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=20 | +| 0.9295 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=80 | +| 0.9237 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=10 | +| 0.9222 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=20 | +| 0.9194 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=10 | +| 0.9145 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=40 | +| 0.914 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=10 | +| 0.9126 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=10 | +| 0.9125 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=40 | +| 0.9012 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=10 | +| 0.8987 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=10 | +| 0.8951 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=20 | +| 0.8863 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=20 | +| 0.8563 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=10 | +| 0.8522 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=10 | -## GaussianNB +## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.958 | | +| 0.8857 | | ## GradientBoosting | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9649 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=1, n_estimators=700 | -| 0.9643 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=3, n_estimators=100 | -| 0.9639 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=1, n_estimators=700 | -| 0.9638 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=1, n_estimators=700 | -| 0.9636 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=1, n_estimators=500 | -| 0.9634 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=1, n_estimators=500 | -| 0.9632 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=1, n_estimators=700 | -| 0.9632 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=1, n_estimators=700 | -| 0.963 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=1, n_estimators=500 | -| 0.9629 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=5, n_estimators=700 | -| 0.9629 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=1, n_estimators=500 | -| 0.9628 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=5, n_estimators=700 | -| 0.9628 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=1, n_estimators=500 | -| 0.9625 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=5, n_estimators=700 | -| 0.9623 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=5, n_estimators=700 | -| 0.9623 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=3, n_estimators=100 | -| 0.9621 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=3, n_estimators=100 | -| 0.962 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=5, n_estimators=700 | -| 0.9616 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=7, n_estimators=700 | -| 0.9615 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=1, n_estimators=300 | -| 0.9612 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=7, n_estimators=500 | -| 0.9612 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=7, n_estimators=700 | -| 0.9611 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=7, n_estimators=500 | -| 0.9611 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=7, n_estimators=700 | -| 0.961 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=1, n_estimators=300 | -| 0.961 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=5, n_estimators=100 | -| 0.9609 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=5, n_estimators=500 | -| 0.9609 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=5, n_estimators=500 | -| 0.9609 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=1, n_estimators=300 | -| 0.9607 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=7, n_estimators=700 | -| 0.9607 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=7, n_estimators=500 | -| 0.9607 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=5, n_estimators=500 | -| 0.9606 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=3, n_estimators=300 | -| 0.9606 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=1, n_estimators=300 | -| 0.9606 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=7, n_estimators=700 | -| 0.9605 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=3, n_estimators=700 | -| 0.9603 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=5, n_estimators=500 | -| 0.9603 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=1, n_estimators=300 | -| 0.9603 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=5, n_estimators=100 | -| 0.9603 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=3, n_estimators=300 | -| 0.9603 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=3, n_estimators=300 | -| 0.9603 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=1, n_estimators=100 | -| 0.9602 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=3, n_estimators=700 | -| 0.9601 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=1, n_estimators=300 | -| 0.9601 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=5, n_estimators=100 | -| 0.9601 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=5, n_estimators=100 | -| 0.9601 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=7, n_estimators=500 | -| 0.96 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=3, n_estimators=700 | -| 0.96 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=1, n_estimators=300 | -| 0.9599 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=1, n_estimators=100 | -| 0.9598 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=5, n_estimators=500 | -| 0.9598 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=1, n_estimators=300 | -| 0.9598 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=7, n_estimators=300 | -| 0.9597 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=3, n_estimators=700 | -| 0.9597 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=3, n_estimators=700 | -| 0.9596 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=3, n_estimators=100 | -| 0.9595 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=3, n_estimators=500 | -| 0.9595 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=5, n_estimators=100 | -| 0.9594 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=3, n_estimators=300 | -| 0.9593 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=1, n_estimators=300 | -| 0.9592 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=5, n_estimators=300 | -| 0.9591 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=1, n_estimators=500 | -| 0.9591 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=3, n_estimators=500 | -| 0.9591 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=3, n_estimators=500 | -| 0.9589 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=3, n_estimators=500 | -| 0.9588 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=7, n_estimators=300 | -| 0.9587 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=1, n_estimators=300 | -| 0.9587 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=3, n_estimators=100 | -| 0.9587 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=3, n_estimators=500 | -| 0.9586 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=7, n_estimators=500 | -| 0.9585 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=7, n_estimators=300 | -| 0.9585 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=7, n_estimators=100 | -| 0.9584 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=5, n_estimators=300 | -| 0.9583 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=3, n_estimators=500 | -| 0.9583 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=1, n_estimators=500 | -| 0.9583 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=1, n_estimators=100 | -| 0.9582 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=3, n_estimators=500 | -| 0.9581 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=3, n_estimators=500 | -| 0.9581 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=3, n_estimators=500 | -| 0.958 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=5, n_estimators=300 | -| 0.958 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=3, n_estimators=300 | -| 0.958 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=1, n_estimators=700 | -| 0.9579 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=1, n_estimators=500 | -| 0.9579 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=5, n_estimators=300 | -| 0.9579 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=1, n_estimators=700 | -| 0.9578 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=5, n_estimators=300 | -| 0.9578 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=7, n_estimators=300 | -| 0.9577 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=7, n_estimators=300 | -| 0.9577 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=7, n_estimators=100 | -| 0.9577 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=1, n_estimators=500 | -| 0.9575 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=1, n_estimators=700 | -| 0.9573 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=1, n_estimators=500 | -| 0.9571 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=1, n_estimators=100 | -| 0.957 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=7, n_estimators=100 | -| 0.957 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=3, n_estimators=500 | -| 0.9569 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=7, n_estimators=100 | -| 0.9568 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=1, n_estimators=700 | -| 0.9566 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=7, n_estimators=100 | -| 0.9564 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=1, n_estimators=700 | -| 0.9563 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=5, n_estimators=300 | -| 0.9561 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=5, n_estimators=300 | -| 0.9557 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=3, n_estimators=700 | -| 0.9556 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=1, n_estimators=100 | -| 0.9553 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=3, n_estimators=300 | -| 0.9553 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=3, n_estimators=300 | -| 0.9551 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=5, n_estimators=300 | -| 0.955 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=3, n_estimators=300 | -| 0.955 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=3, n_estimators=300 | -| 0.955 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=7, n_estimators=100 | -| 0.9548 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=7, n_estimators=100 | -| 0.9545 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=7, n_estimators=100 | -| 0.9544 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=5, n_estimators=100 | -| 0.9543 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=5, n_estimators=300 | -| 0.9543 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=7, n_estimators=100 | -| 0.9543 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=5, n_estimators=100 | -| 0.9542 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=3, n_estimators=700 | -| 0.954 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=7, n_estimators=100 | -| 0.9538 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=3, n_estimators=300 | -| 0.9535 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=1, n_estimators=100 | -| 0.9533 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=3, n_estimators=700 | -| 0.953 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=5, n_estimators=100 | -| 0.9529 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=1, n_estimators=100 | -| 0.9528 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=3, n_estimators=700 | -| 0.9528 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=3, n_estimators=700 | -| 0.9527 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=5, n_estimators=100 | -| 0.9526 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=5, n_estimators=100 | -| 0.951 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=1, n_estimators=700 | -| 0.9504 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=3, n_estimators=100 | -| 0.9498 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=1, n_estimators=700 | -| 0.9497 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=1, n_estimators=700 | -| 0.9496 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=1, n_estimators=700 | -| 0.9496 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=1, n_estimators=100 | -| 0.9495 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=1, n_estimators=700 | -| 0.949 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=5, n_estimators=300 | -| 0.9483 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=3, n_estimators=100 | -| 0.9481 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=1, n_estimators=100 | -| 0.9481 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=1, n_estimators=100 | -| 0.9478 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=1, n_estimators=500 | -| 0.9472 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=1, n_estimators=500 | -| 0.9472 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=3, n_estimators=100 | -| 0.9471 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=1, n_estimators=500 | -| 0.9468 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=1, n_estimators=500 | -| 0.9467 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=1, n_estimators=500 | -| 0.9465 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=3, n_estimators=100 | -| 0.9464 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=3, n_estimators=100 | -| 0.9458 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=1, n_estimators=100 | -| 0.9457 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=1, n_estimators=300 | -| 0.9456 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=1, n_estimators=300 | -| 0.945 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=3, n_estimators=100 | -| 0.9445 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=1, n_estimators=300 | -| 0.9444 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=1, n_estimators=300 | -| 0.9439 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=1, n_estimators=300 | -| 0.9419 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=1, n_estimators=100 | -| 0.9411 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=3, n_estimators=100 | -| 0.9408 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=5, n_estimators=500 | -| 0.9405 | max_features="log2", min_samples_leaf=1, learning_rate=0.01, max_depth=1, n_estimators=100 | -| 0.9405 | max_features="log2", min_samples_leaf=5, learning_rate=0.01, max_depth=1, n_estimators=100 | -| 0.9405 | max_features="log2", min_samples_leaf=7, learning_rate=0.01, max_depth=1, n_estimators=100 | -| 0.9405 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=3, n_estimators=100 | -| 0.9395 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=5, n_estimators=500 | -| 0.9384 | max_features="log2", min_samples_leaf=3, learning_rate=0.01, max_depth=1, n_estimators=100 | -| 0.9383 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=3, n_estimators=100 | -| 0.9374 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=5, n_estimators=500 | -| 0.9372 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=3, n_estimators=100 | -| 0.9371 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=5, n_estimators=500 | -| 0.9367 | max_features="log2", min_samples_leaf=13, learning_rate=0.01, max_depth=1, n_estimators=100 | -| 0.9322 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=5, n_estimators=500 | -| 0.932 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=1, n_estimators=700 | -| 0.9314 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=1, n_estimators=500 | -| 0.9295 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=1, n_estimators=300 | -| 0.9275 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=3, n_estimators=300 | -| 0.9259 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=3, n_estimators=300 | -| 0.9224 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=7, n_estimators=300 | -| 0.9217 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=3, n_estimators=300 | -| 0.9207 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=5, n_estimators=700 | -| 0.9207 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=3, n_estimators=300 | -| 0.9199 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=7, n_estimators=300 | -| 0.9155 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=5, n_estimators=700 | -| 0.9148 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=5, n_estimators=700 | -| 0.914 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=5, n_estimators=100 | -| 0.9136 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=5, n_estimators=100 | -| 0.9128 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=5, n_estimators=700 | -| 0.9124 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=5, n_estimators=100 | -| 0.9114 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=7, n_estimators=300 | -| 0.9111 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=5, n_estimators=700 | -| 0.9093 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=7, n_estimators=300 | -| 0.9091 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=7, n_estimators=300 | -| 0.9078 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=1, n_estimators=300 | -| 0.9071 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=5, n_estimators=100 | -| 0.9049 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=5, n_estimators=100 | -| 0.9025 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=3, n_estimators=300 | -| 0.9019 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=3, n_estimators=500 | -| 0.892 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=3, n_estimators=100 | -| 0.8911 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=3, n_estimators=500 | -| 0.8909 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=3, n_estimators=500 | -| 0.8894 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=3, n_estimators=500 | -| 0.8867 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=3, n_estimators=100 | -| 0.8841 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=7, n_estimators=500 | -| 0.8814 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=3, n_estimators=500 | -| 0.8783 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=7, n_estimators=500 | -| 0.8731 | max_features="log2", min_samples_leaf=7, learning_rate=0.1, max_depth=7, n_estimators=700 | -| 0.8721 | max_features="log2", min_samples_leaf=13, learning_rate=0.1, max_depth=7, n_estimators=700 | -| 0.8716 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=7, n_estimators=700 | -| 0.8715 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=3, n_estimators=700 | -| 0.8695 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=3, n_estimators=700 | -| 0.8692 | max_features="log2", min_samples_leaf=1, learning_rate=0.1, max_depth=7, n_estimators=500 | -| 0.8677 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=7, n_estimators=500 | -| 0.8674 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=7, n_estimators=700 | -| 0.8672 | max_features="log2", min_samples_leaf=5, learning_rate=0.1, max_depth=7, n_estimators=500 | -| 0.8666 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=3, n_estimators=100 | -| 0.8661 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=3, n_estimators=700 | -| 0.8654 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=3, n_estimators=700 | -| 0.8596 | max_features="log2", min_samples_leaf=3, learning_rate=0.1, max_depth=7, n_estimators=700 | -| 0.8516 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=7, n_estimators=100 | -| 0.8486 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=3, n_estimators=300 | -| 0.8463 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=3, n_estimators=300 | -| 0.8457 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=7, n_estimators=300 | -| 0.8451 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=5, n_estimators=700 | -| 0.8451 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=5, n_estimators=700 | -| 0.844 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=3, n_estimators=700 | -| 0.844 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=7, n_estimators=700 | -| 0.8437 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=5, n_estimators=300 | -| 0.8435 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=5, n_estimators=700 | -| 0.8426 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=7, n_estimators=700 | -| 0.8425 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=7, n_estimators=700 | -| 0.8417 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=7, n_estimators=300 | -| 0.8414 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=5, n_estimators=300 | -| 0.841 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=5, n_estimators=500 | -| 0.8396 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=1, n_estimators=100 | -| 0.8395 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=7, n_estimators=500 | -| 0.8389 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=5, n_estimators=300 | -| 0.8378 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=7, n_estimators=100 | -| 0.8377 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=5, n_estimators=300 | -| 0.837 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=5, n_estimators=700 | -| 0.8362 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=7, n_estimators=300 | -| 0.8362 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=7, n_estimators=100 | -| 0.8358 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=7, n_estimators=700 | -| 0.835 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=3, n_estimators=100 | -| 0.8344 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=5, n_estimators=300 | -| 0.8326 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=7, n_estimators=700 | -| 0.8296 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=7, n_estimators=300 | -| 0.8276 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=7, n_estimators=100 | -| 0.8257 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=5, n_estimators=500 | -| 0.8235 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=1, n_estimators=300 | -| 0.8229 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=7, n_estimators=300 | -| 0.8227 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=1, n_estimators=500 | -| 0.8208 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=7, n_estimators=100 | -| 0.82 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=7, n_estimators=500 | -| 0.8182 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=1, n_estimators=700 | -| 0.8098 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=1, n_estimators=300 | -| 0.8088 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=3, n_estimators=300 | -| 0.8059 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=5, n_estimators=500 | -| 0.8042 | max_features="log2", min_samples_leaf=13, learning_rate=0.5, max_depth=7, n_estimators=500 | -| 0.8033 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=1, n_estimators=700 | -| 0.8025 | max_features="log2", min_samples_leaf=3, learning_rate=0.5, max_depth=7, n_estimators=500 | -| 0.8019 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=3, n_estimators=700 | -| 0.8017 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=5, n_estimators=700 | -| 0.798 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=3, n_estimators=100 | -| 0.795 | max_features="log2", min_samples_leaf=1, learning_rate=0.5, max_depth=5, n_estimators=500 | -| 0.7946 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=1, n_estimators=100 | -| 0.7865 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=1, n_estimators=500 | -| 0.7822 | max_features="log2", min_samples_leaf=7, learning_rate=0.5, max_depth=5, n_estimators=500 | -| 0.7795 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=1, n_estimators=500 | -| 0.775 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=5, n_estimators=100 | -| 0.7743 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=3, n_estimators=700 | -| 0.7712 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=1, n_estimators=100 | -| 0.7695 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=5, n_estimators=100 | -| 0.7682 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=5, n_estimators=100 | -| 0.7654 | max_features="log2", min_samples_leaf=5, learning_rate=0.5, max_depth=7, n_estimators=500 | -| 0.7608 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=3, n_estimators=500 | -| 0.7537 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=1, n_estimators=700 | -| 0.7524 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=5, n_estimators=100 | -| 0.7511 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=3, n_estimators=500 | -| 0.7499 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=3, n_estimators=300 | -| 0.7491 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=3, n_estimators=500 | -| 0.7455 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=7, n_estimators=100 | -| 0.7454 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=5, n_estimators=300 | -| 0.7382 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=7, n_estimators=100 | -| 0.7352 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=7, n_estimators=100 | -| 0.7339 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=7, n_estimators=500 | -| 0.7315 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=5, n_estimators=100 | -| 0.7292 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=5, n_estimators=500 | -| 0.7284 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=7, n_estimators=700 | -| 0.727 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=7, n_estimators=300 | -| 0.7265 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=7, n_estimators=500 | -| 0.7213 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=7, n_estimators=500 | -| 0.7182 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=7, n_estimators=300 | -| 0.7093 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=1, n_estimators=500 | -| 0.7089 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=5, n_estimators=500 | -| 0.7088 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=5, n_estimators=300 | -| 0.7062 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=5, n_estimators=700 | -| 0.7054 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=3, n_estimators=300 | -| 0.7007 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=7, n_estimators=100 | -| 0.7005 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=5, n_estimators=500 | -| 0.6982 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=5, n_estimators=700 | -| 0.6978 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=7, n_estimators=300 | -| 0.6925 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=1, n_estimators=700 | -| 0.6915 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=5, n_estimators=300 | -| 0.6831 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=5, n_estimators=700 | -| 0.6813 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=7, n_estimators=300 | -| 0.6785 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=7, n_estimators=500 | -| 0.6755 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=3, n_estimators=700 | -| 0.6754 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=7, n_estimators=700 | -| 0.6658 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=5, n_estimators=300 | -| 0.6649 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=7, n_estimators=100 | -| 0.6617 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=3, n_estimators=500 | -| 0.6565 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=7, n_estimators=700 | -| 0.6506 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=5, n_estimators=300 | -| 0.6458 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=7, n_estimators=700 | -| 0.6429 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=7, n_estimators=700 | -| 0.6412 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=7, n_estimators=300 | -| 0.6342 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=5, n_estimators=700 | -| 0.6334 | max_features="log2", min_samples_leaf=7, learning_rate=1, max_depth=3, n_estimators=700 | -| 0.6285 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=1, n_estimators=300 | -| 0.6273 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=5, n_estimators=700 | -| 0.626 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=7, n_estimators=500 | -| 0.6254 | max_features="log2", min_samples_leaf=13, learning_rate=1, max_depth=3, n_estimators=700 | -| 0.6213 | max_features="log2", min_samples_leaf=1, learning_rate=1, max_depth=5, n_estimators=500 | -| 0.6185 | max_features="log2", min_samples_leaf=5, learning_rate=1, max_depth=3, n_estimators=500 | -| 0.6157 | max_features="log2", min_samples_leaf=3, learning_rate=1, max_depth=5, n_estimators=500 | +| 0.9637 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| 0.9635 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700 | +| 0.9631 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| 0.963 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| 0.9627 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| 0.9626 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| 0.9626 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300 | +| 0.9625 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| 0.9625 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| 0.9624 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700 | +| 0.9624 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| 0.9624 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=500 | +| 0.9623 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700 | +| 0.9621 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100 | +| 0.9621 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500 | +| 0.962 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700 | +| 0.962 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100 | +| 0.9619 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100 | +| 0.9619 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700 | +| 0.9618 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=700 | +| 0.9618 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300 | +| 0.9617 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300 | +| 0.9617 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700 | +| 0.9617 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500 | +| 0.9616 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500 | +| 0.9616 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300 | +| 0.9615 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100 | +| 0.9614 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500 | +| 0.9614 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=700 | +| 0.9613 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500 | +| 0.9613 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300 | +| 0.9613 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300 | +| 0.9611 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100 | +| 0.9611 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300 | +| 0.961 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700 | +| 0.9609 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500 | +| 0.9608 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=500 | +| 0.9607 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500 | +| 0.9606 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500 | +| 0.9606 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700 | +| 0.9605 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700 | +| 0.9605 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300 | +| 0.9605 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=700 | +| 0.9605 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300 | +| 0.9603 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300 | +| 0.9603 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700 | +| 0.9602 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300 | +| 0.96 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300 | +| 0.96 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700 | +| 0.9599 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700 | +| 0.9599 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300 | +| 0.9598 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=300 | +| 0.9596 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100 | +| 0.9596 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=300 | +| 0.9596 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500 | +| 0.9595 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=700 | +| 0.9595 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100 | +| 0.9594 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=500 | +| 0.9593 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100 | +| 0.9592 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500 | +| 0.9591 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100 | +| 0.959 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300 | +| 0.9589 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500 | +| 0.9589 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300 | +| 0.9588 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=300 | +| 0.9587 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100 | +| 0.9586 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300 | +| 0.9585 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100 | +| 0.9583 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500 | +| 0.9583 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300 | +| 0.9583 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100 | +| 0.9583 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=100 | +| 0.9582 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100 | +| 0.9581 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500 | +| 0.9579 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=300 | +| 0.9579 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700 | +| 0.9578 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500 | +| 0.9578 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500 | +| 0.9578 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500 | +| 0.9577 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700 | +| 0.9577 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300 | +| 0.9576 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300 | +| 0.9576 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700 | +| 0.9575 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=100 | +| 0.9575 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500 | +| 0.9575 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300 | +| 0.9574 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100 | +| 0.9574 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500 | +| 0.9573 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=500 | +| 0.9573 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100 | +| 0.9573 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500 | +| 0.9572 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=500 | +| 0.957 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700 | +| 0.9569 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500 | +| 0.9567 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100 | +| 0.9566 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700 | +| 0.9566 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=100 | +| 0.9566 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=500 | +| 0.9562 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=100 | +| 0.9562 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700 | +| 0.9562 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=300 | +| 0.9559 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.5, n_estimators=700 | +| 0.9558 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700 | +| 0.9551 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300 | +| 0.9551 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300 | +| 0.955 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100 | +| 0.9544 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100 | +| 0.9543 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300 | +| 0.954 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100 | +| 0.954 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100 | +| 0.954 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700 | +| 0.9539 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100 | +| 0.9538 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100 | +| 0.9535 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100 | +| 0.9534 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.01, n_estimators=100 | +| 0.9532 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.1, n_estimators=700 | +| 0.9532 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300 | +| 0.9528 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300 | +| 0.9525 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300 | +| 0.9522 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300 | +| 0.9521 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100 | +| 0.952 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100 | +| 0.9518 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=300 | +| 0.9518 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300 | +| 0.9512 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100 | +| 0.9508 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.01, n_estimators=100 | +| 0.9507 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=300 | +| 0.9499 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100 | +| 0.9497 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100 | +| 0.9487 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700 | +| 0.9478 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700 | +| 0.9475 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700 | +| 0.9474 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700 | +| 0.947 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100 | +| 0.9468 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100 | +| 0.9468 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=700 | +| 0.9466 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.1, n_estimators=100 | +| 0.946 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100 | +| 0.9459 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500 | +| 0.9457 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100 | +| 0.9456 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500 | +| 0.9455 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100 | +| 0.9454 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500 | +| 0.9451 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100 | +| 0.945 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=1, n_estimators=100 | +| 0.9447 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500 | +| 0.9445 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.01, n_estimators=100 | +| 0.9438 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=500 | +| 0.9426 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=1, n_estimators=100 | +| 0.9421 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100 | +| 0.9419 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300 | +| 0.9411 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300 | +| 0.9407 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300 | +| 0.9406 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300 | +| 0.9404 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500 | +| 0.94 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=1, n_estimators=300 | +| 0.9393 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100 | +| 0.939 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=300 | +| 0.9389 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500 | +| 0.9383 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=1, n_estimators=500 | +| 0.938 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500 | +| 0.9374 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=100 | +| 0.9344 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500 | +| 0.9338 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100 | +| 0.9337 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=1, n_estimators=500 | +| 0.9334 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100 | +| 0.9319 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=500 | +| 0.9307 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100 | +| 0.9294 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300 | +| 0.9293 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100 | +| 0.9289 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=0.01, n_estimators=100 | +| 0.9281 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=1, n_estimators=300 | +| 0.9263 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=1, n_estimators=300 | +| 0.9262 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300 | +| 0.9259 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300 | +| 0.925 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=1, n_estimators=700 | +| 0.9224 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=1, n_estimators=700 | +| 0.922 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300 | +| 0.9206 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700 | +| 0.9202 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300 | +| 0.9197 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700 | +| 0.9192 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300 | +| 0.9191 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700 | +| 0.918 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700 | +| 0.9161 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=1, n_estimators=700 | +| 0.9155 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100 | +| 0.9152 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100 | +| 0.915 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.1, n_estimators=700 | +| 0.9148 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100 | +| 0.9142 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300 | +| 0.9125 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=1, n_estimators=100 | +| 0.9107 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300 | +| 0.909 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=300 | +| 0.9056 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100 | +| 0.9045 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=100 | +| 0.8996 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500 | +| 0.8947 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500 | +| 0.884 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500 | +| 0.8839 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=1, n_estimators=100 | +| 0.8806 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=1, n_estimators=100 | +| 0.8797 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500 | +| 0.8783 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=300 | +| 0.8759 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=500 | +| 0.8741 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500 | +| 0.8739 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500 | +| 0.8731 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=1, n_estimators=100 | +| 0.8723 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500 | +| 0.8719 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500 | +| 0.8717 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=1, n_estimators=100 | +| 0.8703 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700 | +| 0.8693 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700 | +| 0.869 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700 | +| 0.8688 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700 | +| 0.8682 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700 | +| 0.8678 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700 | +| 0.866 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=700 | +| 0.8629 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.1, n_estimators=500 | +| 0.854 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700 | +| 0.8522 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700 | +| 0.8497 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100 | +| 0.8494 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=0.5, n_estimators=700 | +| 0.8489 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300 | +| 0.8471 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100 | +| 0.8462 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700 | +| 0.8446 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100 | +| 0.8434 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500 | +| 0.8431 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300 | +| 0.8422 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300 | +| 0.8422 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700 | +| 0.8416 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100 | +| 0.8405 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700 | +| 0.8403 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500 | +| 0.8394 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700 | +| 0.8393 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300 | +| 0.839 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500 | +| 0.8381 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700 | +| 0.835 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500 | +| 0.8349 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=100 | +| 0.8349 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300 | +| 0.8348 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700 | +| 0.8345 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500 | +| 0.8336 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300 | +| 0.8335 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300 | +| 0.8333 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700 | +| 0.8327 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500 | +| 0.8295 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500 | +| 0.8291 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=1, n_estimators=500 | +| 0.8283 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=1, n_estimators=300 | +| 0.828 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500 | +| 0.8237 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=1, n_estimators=700 | +| 0.8229 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700 | +| 0.8223 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=1, n_estimators=500 | +| 0.8191 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=700 | +| 0.8167 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=700 | +| 0.8166 | min_samples_leaf=7, max_features="log2", max_depth=1, learning_rate=1, n_estimators=500 | +| 0.8146 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=300 | +| 0.8131 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=1, n_estimators=700 | +| 0.8115 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=1, n_estimators=500 | +| 0.8075 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=1, n_estimators=700 | +| 0.8038 | min_samples_leaf=5, max_features="log2", max_depth=1, learning_rate=1, n_estimators=100 | +| 0.8019 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=1, n_estimators=300 | +| 0.8006 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=1, n_estimators=100 | +| 0.7993 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=1, n_estimators=100 | +| 0.7941 | min_samples_leaf=3, max_features="log2", max_depth=3, learning_rate=1, n_estimators=500 | +| 0.7939 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=1, n_estimators=300 | +| 0.7862 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=1, n_estimators=500 | +| 0.77 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=1, n_estimators=100 | +| 0.769 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=1, n_estimators=100 | +| 0.7575 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300 | +| 0.7526 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=1, n_estimators=100 | +| 0.7517 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=300 | +| 0.7488 | min_samples_leaf=1, max_features="log2", max_depth=1, learning_rate=1, n_estimators=300 | +| 0.7467 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=1, n_estimators=700 | +| 0.7457 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=1, n_estimators=300 | +| 0.7444 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=1, n_estimators=700 | +| 0.7419 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=1, n_estimators=700 | +| 0.7397 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=1, n_estimators=100 | +| 0.7385 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=1, n_estimators=500 | +| 0.7369 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=1, n_estimators=500 | +| 0.7349 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=1, n_estimators=100 | +| 0.7255 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=1, n_estimators=700 | +| 0.7246 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=1, n_estimators=500 | +| 0.7232 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=1, n_estimators=700 | +| 0.7231 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=0.5, n_estimators=500 | +| 0.7191 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=1, n_estimators=300 | +| 0.7189 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=1, n_estimators=300 | +| 0.7182 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=1, n_estimators=500 | +| 0.7182 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=1, n_estimators=100 | +| 0.7171 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=1, n_estimators=300 | +| 0.7162 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=1, n_estimators=300 | +| 0.7138 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=1, n_estimators=100 | +| 0.7062 | min_samples_leaf=3, max_features="log2", max_depth=1, learning_rate=1, n_estimators=300 | +| 0.7045 | min_samples_leaf=5, max_features="log2", max_depth=3, learning_rate=1, n_estimators=100 | +| 0.7013 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=1, n_estimators=300 | +| 0.6996 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=1, n_estimators=300 | +| 0.6982 | min_samples_leaf=1, max_features="log2", max_depth=5, learning_rate=1, n_estimators=300 | +| 0.6952 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=1, n_estimators=700 | +| 0.6868 | min_samples_leaf=1, max_features="log2", max_depth=3, learning_rate=1, n_estimators=700 | +| 0.686 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=1, n_estimators=500 | +| 0.6846 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=1, n_estimators=300 | +| 0.6796 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=0.5, n_estimators=500 | +| 0.678 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=1, n_estimators=300 | +| 0.6751 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=1, n_estimators=700 | +| 0.671 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=1, n_estimators=700 | +| 0.6669 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=1, n_estimators=500 | +| 0.6634 | min_samples_leaf=13, max_features="log2", max_depth=1, learning_rate=1, n_estimators=700 | +| 0.663 | min_samples_leaf=7, max_features="log2", max_depth=5, learning_rate=1, n_estimators=500 | +| 0.6625 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=1, n_estimators=100 | +| 0.656 | min_samples_leaf=3, max_features="log2", max_depth=5, learning_rate=1, n_estimators=300 | +| 0.6515 | min_samples_leaf=5, max_features="log2", max_depth=7, learning_rate=1, n_estimators=500 | +| 0.6507 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=1, n_estimators=500 | +| 0.6493 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=1, n_estimators=700 | +| 0.6473 | min_samples_leaf=13, max_features="log2", max_depth=5, learning_rate=1, n_estimators=500 | +| 0.6393 | min_samples_leaf=7, max_features="log2", max_depth=7, learning_rate=1, n_estimators=500 | +| 0.6385 | min_samples_leaf=13, max_features="log2", max_depth=7, learning_rate=1, n_estimators=700 | +| 0.6346 | min_samples_leaf=3, max_features="log2", max_depth=7, learning_rate=1, n_estimators=500 | +| 0.6332 | min_samples_leaf=1, max_features="log2", max_depth=7, learning_rate=1, n_estimators=100 | +| 0.6212 | min_samples_leaf=5, max_features="log2", max_depth=5, learning_rate=1, n_estimators=300 | +| 0.6091 | min_samples_leaf=7, max_features="log2", max_depth=3, learning_rate=1, n_estimators=700 | +| 0.6052 | min_samples_leaf=13, max_features="log2", max_depth=3, learning_rate=1, n_estimators=700 | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9613 | | diff --git a/tuning_reports/huwiki.goodfaith.md b/tuning_reports/huwiki.goodfaith.md index 0fb85c24..bd710469 100644 --- a/tuning_reports/huwiki.goodfaith.md +++ b/tuning_reports/huwiki.goodfaith.md @@ -1,442 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.huwiki.goodfaith -- Date: 2019-07-23T01:16:08.269597 -- Observations: 37729 +- Date: 2021-02-09T00:11:28.388068 +- Observations: 37408 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------------|-----------------------:|:-------------------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9641 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| GradientBoosting | 0.9637 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=700 | -| GradientBoosting | 0.9635 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=700 | -| GradientBoosting | 0.9633 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=500 | -| RandomForestClassifier | 0.9633 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| GradientBoosting | 0.9629 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=500 | -| GradientBoosting | 0.9629 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=500 | -| GradientBoosting | 0.9628 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=700 | -| GradientBoosting | 0.9626 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=700 | -| GradientBoosting | 0.9626 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=100 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:-------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9612 | max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9602 | max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9601 | max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9599 | max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9598 | max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9592 | max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9592 | max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| GaussianNB | 0.9592 | | +| GradientBoosting | 0.9591 | max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.959 | max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | # Models -## GaussianNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.9581 | | - -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9637 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=700 | -| 0.9635 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=700 | -| 0.9633 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=500 | -| 0.9629 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=500 | -| 0.9629 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=500 | -| 0.9628 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=700 | -| 0.9626 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=700 | -| 0.9626 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=100 | -| 0.9625 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=500 | -| 0.9623 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=700 | -| 0.9621 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=100 | -| 0.9621 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=700 | -| 0.9621 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=300 | -| 0.9619 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=300 | -| 0.9619 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=700 | -| 0.9617 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=300 | -| 0.9617 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=500 | -| 0.9615 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=100 | -| 0.9614 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=500 | -| 0.9614 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=700 | -| 0.9613 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=700 | -| 0.9612 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=300 | -| 0.961 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=500 | -| 0.961 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=100 | -| 0.9609 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=700 | -| 0.9607 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=300 | -| 0.9607 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=100 | -| 0.9607 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=500 | -| 0.9606 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=500 | -| 0.9605 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=700 | -| 0.9604 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=700 | -| 0.9604 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=300 | -| 0.9603 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=100 | -| 0.9603 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=100 | -| 0.9603 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=500 | -| 0.9603 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=100 | -| 0.9603 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=500 | -| 0.9602 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=500 | -| 0.9602 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=700 | -| 0.9602 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=300 | -| 0.9601 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=300 | -| 0.9601 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=300 | -| 0.9599 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=500 | -| 0.9597 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=700 | -| 0.9596 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=100 | -| 0.9595 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=500 | -| 0.9594 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=300 | -| 0.9593 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=500 | -| 0.9593 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=300 | -| 0.9593 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=300 | -| 0.9592 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=300 | -| 0.9592 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=500 | -| 0.9591 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=100 | -| 0.9591 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=100 | -| 0.9591 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=300 | -| 0.9591 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=300 | -| 0.959 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=500 | -| 0.959 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=500 | -| 0.9589 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=700 | -| 0.9587 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=700 | -| 0.9587 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=700 | -| 0.9585 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=500 | -| 0.9585 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=700 | -| 0.9585 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=700 | -| 0.9584 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=500 | -| 0.9584 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=700 | -| 0.9582 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=700 | -| 0.9582 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=500 | -| 0.9582 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=500 | -| 0.958 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=700 | -| 0.958 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=100 | -| 0.958 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=700 | -| 0.958 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=300 | -| 0.9579 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=300 | -| 0.9578 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=300 | -| 0.9577 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=100 | -| 0.9575 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=300 | -| 0.9575 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=300 | -| 0.9574 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=500 | -| 0.9574 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=500 | -| 0.9573 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=300 | -| 0.9573 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=300 | -| 0.9572 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=500 | -| 0.9572 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=500 | -| 0.957 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=300 | -| 0.9569 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=500 | -| 0.9569 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=700 | -| 0.9568 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=500 | -| 0.9565 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=100 | -| 0.9564 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=300 | -| 0.9564 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=300 | -| 0.9562 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=500 | -| 0.9562 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=700 | -| 0.9561 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=100 | -| 0.9559 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=100 | -| 0.9558 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=100 | -| 0.9558 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=100 | -| 0.9558 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=100 | -| 0.9557 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=500 | -| 0.9553 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=300 | -| 0.9553 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=100 | -| 0.9552 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=700 | -| 0.9552 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=100 | -| 0.9551 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=100 | -| 0.9547 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=300 | -| 0.9544 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=300 | -| 0.9544 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=700 | -| 0.9544 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=300 | -| 0.9544 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=300 | -| 0.9542 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=300 | -| 0.9538 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=100 | -| 0.9537 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=100 | -| 0.9535 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=700 | -| 0.9531 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=100 | -| 0.9528 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=700 | -| 0.9527 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=100 | -| 0.9526 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=700 | -| 0.9526 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=100 | -| 0.9519 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=700 | -| 0.9519 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=700 | -| 0.9519 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=700 | -| 0.9519 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=700 | -| 0.9518 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=100 | -| 0.9518 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=700 | -| 0.9517 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=100 | -| 0.9512 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=100 | -| 0.9512 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=100 | -| 0.9511 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=100 | -| 0.9507 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=100 | -| 0.9506 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=300 | -| 0.9501 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=300 | -| 0.9492 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=100 | -| 0.9492 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=100 | -| 0.9492 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=300 | -| 0.9488 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=500 | -| 0.9488 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=500 | -| 0.9487 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=500 | -| 0.9487 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=500 | -| 0.9487 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=500 | -| 0.9487 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=100 | -| 0.9485 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=300 | -| 0.9481 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=100 | -| 0.9477 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=100 | -| 0.9476 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=100 | -| 0.9476 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=100 | -| 0.9472 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=100 | -| 0.9458 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=300 | -| 0.9458 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=300 | -| 0.9458 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=300 | -| 0.9458 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=300 | -| 0.9458 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=300 | -| 0.9453 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=100 | -| 0.9453 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=100 | -| 0.9453 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=100 | -| 0.9453 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=100 | -| 0.9453 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=100 | -| 0.9438 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=100 | -| 0.942 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=100 | -| 0.9374 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=100 | -| 0.9361 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=100 | -| 0.9332 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=500 | -| 0.9324 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=500 | -| 0.9293 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=500 | -| 0.927 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=100 | -| 0.9258 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=500 | -| 0.923 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=500 | -| 0.9143 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=300 | -| 0.9134 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=300 | -| 0.9118 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=300 | -| 0.9115 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=100 | -| 0.9115 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=300 | -| 0.9114 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=300 | -| 0.9111 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=500 | -| 0.9108 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=300 | -| 0.9063 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=700 | -| 0.9056 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=700 | -| 0.9051 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=300 | -| 0.9044 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=100 | -| 0.9044 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=100 | -| 0.9035 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=100 | -| 0.9023 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=500 | -| 0.9017 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=300 | -| 0.9011 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=300 | -| 0.9009 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=100 | -| 0.9004 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=300 | -| 0.8994 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=300 | -| 0.8991 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=700 | -| 0.8989 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=100 | -| 0.8978 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=100 | -| 0.8976 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=700 | -| 0.8957 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=500 | -| 0.8927 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=700 | -| 0.8841 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=500 | -| 0.8829 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=500 | -| 0.8745 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=500 | -| 0.8734 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=700 | -| 0.8724 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=500 | -| 0.8716 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=500 | -| 0.8713 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=500 | -| 0.8709 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=500 | -| 0.8699 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=500 | -| 0.8681 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=700 | -| 0.8659 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=700 | -| 0.8648 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=500 | -| 0.8645 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=500 | -| 0.8633 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=700 | -| 0.8603 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=700 | -| 0.86 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=700 | -| 0.86 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=700 | -| 0.8578 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=700 | -| 0.8532 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=700 | -| 0.8484 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=100 | -| 0.8465 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=100 | -| 0.8464 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=500 | -| 0.8447 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=300 | -| 0.8442 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=700 | -| 0.8425 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=500 | -| 0.8416 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=500 | -| 0.8415 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=300 | -| 0.8411 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=300 | -| 0.8411 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=100 | -| 0.841 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=700 | -| 0.8402 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=500 | -| 0.84 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=700 | -| 0.8384 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=700 | -| 0.8383 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=500 | -| 0.8378 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=100 | -| 0.8378 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=300 | -| 0.8372 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=700 | -| 0.8368 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=500 | -| 0.8367 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=700 | -| 0.8366 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=100 | -| 0.8362 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=700 | -| 0.8354 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=500 | -| 0.835 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=500 | -| 0.8337 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=300 | -| 0.8333 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=700 | -| 0.8327 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=500 | -| 0.8326 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=300 | -| 0.8317 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=700 | -| 0.8304 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=300 | -| 0.8301 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=700 | -| 0.8296 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=700 | -| 0.8284 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=300 | -| 0.8275 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=100 | -| 0.8265 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=300 | -| 0.8263 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=100 | -| 0.8258 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=300 | -| 0.8249 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=100 | -| 0.8194 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=700 | -| 0.8176 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=300 | -| 0.8168 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=500 | -| 0.812 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=500 | -| 0.788 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=100 | -| 0.788 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=500 | -| 0.788 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=300 | -| 0.7875 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=100 | -| 0.7844 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=700 | -| 0.7842 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=300 | -| 0.7841 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=100 | -| 0.7833 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=300 | -| 0.7808 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=500 | -| 0.7794 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=500 | -| 0.7794 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=100 | -| 0.7733 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=700 | -| 0.7708 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=100 | -| 0.7689 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=700 | -| 0.7601 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=300 | -| 0.7601 | max_features="log2", max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=300 | -| 0.7529 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=300 | -| 0.7524 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=500 | -| 0.7487 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=100 | -| 0.7463 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=700 | -| 0.7463 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=300 | -| 0.7401 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=500 | -| 0.7396 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=300 | -| 0.7394 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=700 | -| 0.7386 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=300 | -| 0.7363 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=300 | -| 0.7336 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=100 | -| 0.7325 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=700 | -| 0.7306 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=700 | -| 0.7286 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=700 | -| 0.7285 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=300 | -| 0.7213 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=100 | -| 0.7189 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=300 | -| 0.718 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=700 | -| 0.7165 | max_features="log2", max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=700 | -| 0.7157 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=100 | -| 0.7151 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=100 | -| 0.7141 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=500 | -| 0.7098 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=300 | -| 0.7097 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=500 | -| 0.709 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=700 | -| 0.7085 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=300 | -| 0.7079 | max_features="log2", max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=100 | -| 0.7072 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=100 | -| 0.7045 | max_features="log2", max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=700 | -| 0.6981 | max_features="log2", max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=700 | -| 0.694 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=100 | -| 0.6926 | max_features="log2", max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=700 | -| 0.6809 | max_features="log2", max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=500 | -| 0.6728 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=300 | -| 0.6708 | max_features="log2", max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=700 | -| 0.6647 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=300 | -| 0.6644 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=500 | -| 0.6578 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=500 | -| 0.6533 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=300 | -| 0.653 | max_features="log2", max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=700 | -| 0.6504 | max_features="log2", max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=500 | -| 0.6403 | max_features="log2", max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=500 | -| 0.6375 | max_features="log2", max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=500 | -| 0.6367 | max_features="log2", max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=700 | -| 0.6313 | max_features="log2", max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=300 | -| 0.6232 | max_features="log2", max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=500 | -| 0.6152 | max_features="log2", max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=100 | -| 0.6145 | max_features="log2", max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=700 | -| 0.6114 | max_features="log2", max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=700 | -| 0.585 | max_features="log2", max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=500 | -| 0.5831 | max_features="log2", max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=500 | - ## BernoulliNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.8963 | | +| 0.8954 | | ## LogisticRegression | roc_auc.labels.false | params | |-----------------------:|:--------------------| -| 0.9579 | C=1, penalty="l1" | -| 0.9575 | C=0.1, penalty="l1" | -| 0.9561 | C=10, penalty="l1" | -| 0.8191 | C=0.1, penalty="l2" | -| 0.8146 | C=1, penalty="l2" | -| 0.8033 | C=10, penalty="l2" | +| 0.9022 | penalty="l2", C=10 | +| 0.9009 | penalty="l2", C=0.1 | +| 0.8974 | penalty="l2", C=1 | + +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9612 | max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9602 | max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9601 | max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9599 | max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9598 | max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9592 | max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9592 | max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9591 | max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.959 | max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.9589 | max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9587 | max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9582 | max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9582 | max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.958 | max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9579 | max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.9579 | max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9579 | max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9578 | max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9578 | max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9577 | max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9576 | max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.9576 | max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9576 | max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9576 | max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9574 | max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9572 | max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9572 | max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.957 | max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9569 | max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9568 | max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.9568 | max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9568 | max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9568 | max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9567 | max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9567 | max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.9567 | max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9567 | max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9566 | max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9565 | max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.9565 | max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.9565 | max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.9565 | max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9563 | max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9563 | max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9563 | max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9562 | max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9562 | max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9561 | max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9561 | max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.956 | max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9559 | max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9559 | max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9558 | max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9556 | max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9556 | max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9554 | max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9554 | max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9552 | max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9552 | max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9552 | max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9551 | max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.955 | max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.955 | max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9549 | max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.9548 | max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.9548 | max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.9548 | max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9545 | max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.9543 | max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9543 | max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.9539 | max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9539 | max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9537 | max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9536 | max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9536 | max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9536 | max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9536 | max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9535 | max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9534 | max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9534 | max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.9534 | max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9534 | max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9531 | max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.953 | max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9528 | max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9526 | max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9524 | max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9523 | max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9522 | max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9522 | max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.952 | max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.952 | max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9519 | max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9517 | max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9516 | max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9513 | max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9512 | max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9512 | max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.951 | max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.9507 | max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9506 | max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.95 | max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.95 | max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.9499 | max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9498 | max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9496 | max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9495 | max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9492 | max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9492 | max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9492 | max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9488 | max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9484 | max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9482 | max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9475 | max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9474 | max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9474 | max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9472 | max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.947 | max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.9469 | max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9466 | max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9465 | max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9464 | max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9463 | max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9459 | max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9458 | max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9453 | max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9452 | max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.945 | max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9449 | max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9446 | max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9446 | max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9441 | max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9441 | max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.944 | max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9438 | max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9437 | max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9436 | max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.9433 | max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9432 | max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9426 | max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9423 | max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9423 | max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.942 | max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.9414 | max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9401 | max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.94 | max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.94 | max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9399 | max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9382 | max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9382 | max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9378 | max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.9349 | max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.9342 | max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_features="log2" | +| 0.9342 | max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_features="log2" | +| 0.9336 | max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.9326 | max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.9294 | max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_features="log2" | +| 0.9283 | max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_features="log2" | +| 0.9266 | max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9262 | max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.926 | max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9251 | max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.924 | max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_features="log2" | +| 0.922 | max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.9211 | max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.9162 | max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.9135 | max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.9134 | max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.9119 | max_depth=1, n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.9084 | max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.9071 | max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.9061 | max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.9046 | max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.9044 | max_depth=1, n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.9002 | max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.8999 | max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.8996 | max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.8969 | max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.8965 | max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.8959 | max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.8958 | max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.8947 | max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.8944 | max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8927 | max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8923 | max_depth=1, n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.8902 | max_depth=1, n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.8884 | max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.886 | max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8792 | max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8776 | max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8739 | max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8725 | max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8705 | max_depth=1, n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.8689 | max_depth=3, n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.8669 | max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8665 | max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.8647 | max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.8633 | max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_features="log2" | +| 0.8629 | max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.8629 | max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_features="log2" | +| 0.8614 | max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.8612 | max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.8599 | max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8579 | max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_features="log2" | +| 0.8578 | max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_features="log2" | +| 0.8567 | max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_features="log2" | +| 0.8436 | max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8427 | max_depth=3, n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.8417 | max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8407 | max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8399 | max_depth=3, n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.8394 | max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8392 | max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8392 | max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8382 | max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8373 | max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8359 | max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8348 | max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8337 | max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8331 | max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.832 | max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8315 | max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8309 | max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8303 | max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.83 | max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8296 | max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8292 | max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8283 | max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8282 | max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8278 | max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8273 | max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.827 | max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8248 | max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8248 | max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8247 | max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.824 | max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8239 | max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8231 | max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_features="log2" | +| 0.8225 | max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8215 | max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8209 | max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_features="log2" | +| 0.8204 | max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8189 | max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8189 | max_depth=1, n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.8185 | max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_features="log2" | +| 0.8139 | max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8131 | max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8131 | max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_features="log2" | +| 0.8118 | max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_features="log2" | +| 0.8057 | max_depth=3, n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.8042 | max_depth=3, n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.8032 | max_depth=1, n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.7973 | max_depth=1, n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.7971 | max_depth=5, n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.7923 | max_depth=1, n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7921 | max_depth=1, n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7908 | max_depth=3, n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7886 | max_depth=1, n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.7874 | max_depth=1, n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.7834 | max_depth=3, n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7799 | max_depth=1, n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7736 | max_depth=1, n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.773 | max_depth=3, n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.7728 | max_depth=1, n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7725 | max_depth=3, n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.7669 | max_depth=5, n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.7631 | max_depth=5, n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.7597 | max_depth=3, n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.7504 | max_depth=3, n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7452 | max_depth=5, n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7365 | max_depth=5, n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.7327 | max_depth=7, n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.7325 | max_depth=7, n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.732 | max_depth=3, n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.7301 | max_depth=3, n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7255 | max_depth=3, n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.7248 | max_depth=3, n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.723 | max_depth=5, n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7226 | max_depth=7, n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.7223 | max_depth=5, n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.7187 | max_depth=5, n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.7172 | max_depth=7, n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7156 | max_depth=7, n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7118 | max_depth=7, n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7103 | max_depth=7, n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7088 | max_depth=5, n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.7071 | max_depth=7, n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7045 | max_depth=3, n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.7042 | max_depth=7, n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.704 | max_depth=5, n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.7007 | max_depth=5, n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.7001 | max_depth=7, n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.6999 | max_depth=7, n_estimators=100, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.6999 | max_depth=3, n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.6963 | max_depth=7, n_estimators=500, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.6911 | max_depth=1, n_estimators=100, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.6899 | max_depth=5, n_estimators=700, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.6896 | max_depth=7, n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.6874 | max_depth=7, n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.687 | max_depth=7, n_estimators=700, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.6862 | max_depth=5, n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.6844 | max_depth=7, n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.6843 | max_depth=1, n_estimators=300, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.6809 | max_depth=5, n_estimators=100, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.6806 | max_depth=5, n_estimators=300, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.6788 | max_depth=1, n_estimators=100, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.6773 | max_depth=5, n_estimators=500, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.6746 | max_depth=3, n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.6699 | max_depth=7, n_estimators=300, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.6607 | max_depth=5, n_estimators=500, min_samples_leaf=3, learning_rate=1, max_features="log2" | +| 0.6579 | max_depth=1, n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.6578 | max_depth=7, n_estimators=500, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.6354 | max_depth=5, n_estimators=300, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.6351 | max_depth=1, n_estimators=300, min_samples_leaf=1, learning_rate=1, max_features="log2" | +| 0.6329 | max_depth=5, n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.6326 | max_depth=3, n_estimators=700, min_samples_leaf=7, learning_rate=1, max_features="log2" | +| 0.6259 | max_depth=7, n_estimators=700, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.6147 | max_depth=3, n_estimators=100, min_samples_leaf=5, learning_rate=1, max_features="log2" | +| 0.613 | max_depth=7, n_estimators=500, min_samples_leaf=13, learning_rate=1, max_features="log2" | +| 0.6024 | max_depth=5, n_estimators=700, min_samples_leaf=5, learning_rate=1, max_features="log2" | ## RandomForestClassifier | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------| -| 0.9641 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.9633 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.9624 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9618 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.9617 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9615 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.9604 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.9591 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.9589 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.9587 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.9585 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9585 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.958 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.9568 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9564 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.9561 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.956 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.9558 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.9556 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.9555 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.9554 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.9545 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.9544 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9543 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.954 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.9531 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.953 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.9521 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9514 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.9513 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.9508 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.9504 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9495 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.9494 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.9485 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.9483 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.9478 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.9456 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.9453 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9451 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.9439 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.9431 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.9423 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.9406 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.9401 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.9393 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.9386 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.9331 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.9324 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.932 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.932 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.9302 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.9281 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.9259 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.9259 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.9247 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.9246 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.9236 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.9222 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.9168 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.9129 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.912 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.9118 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.9082 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8995 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8924 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8793 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.877 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.8463 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.8424 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | +| 0.959 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="entropy" | +| 0.9583 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | +| 0.9575 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| 0.9573 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | +| 0.957 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| 0.9565 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | +| 0.9557 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| 0.9557 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="entropy" | +| 0.9553 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | +| 0.955 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | +| 0.9535 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="gini" | +| 0.9525 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="gini" | +| 0.9523 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | +| 0.9523 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="gini" | +| 0.9523 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="gini" | +| 0.952 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="gini" | +| 0.9518 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="gini" | +| 0.9517 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| 0.9516 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="gini" | +| 0.9516 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="gini" | +| 0.951 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="gini" | +| 0.9509 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="entropy" | +| 0.9497 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | +| 0.9491 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="gini" | +| 0.9484 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | +| 0.9481 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="entropy" | +| 0.9477 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="entropy" | +| 0.9474 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="gini" | +| 0.9472 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | +| 0.9471 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | +| 0.947 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="entropy" | +| 0.9457 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="gini" | +| 0.9456 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="gini" | +| 0.9454 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="gini" | +| 0.9453 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="gini" | +| 0.9415 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="gini" | +| 0.9396 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="entropy" | +| 0.9391 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="entropy" | +| 0.9386 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="entropy" | +| 0.938 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="gini" | +| 0.9371 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="gini" | +| 0.9357 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="entropy" | +| 0.9347 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="gini" | +| 0.9333 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="gini" | +| 0.9331 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="gini" | +| 0.9326 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="entropy" | +| 0.9299 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="gini" | +| 0.9283 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="entropy" | +| 0.9277 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="entropy" | +| 0.9265 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="gini" | +| 0.925 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="entropy" | +| 0.9248 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="gini" | +| 0.9242 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="gini" | +| 0.9241 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="entropy" | +| 0.9234 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="entropy" | +| 0.9206 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="gini" | +| 0.9166 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="entropy" | +| 0.9127 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="gini" | +| 0.9081 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="gini" | +| 0.9079 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="entropy" | +| 0.9063 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="entropy" | +| 0.9057 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="gini" | +| 0.9057 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="gini" | +| 0.9028 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="entropy" | +| 0.9014 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="entropy" | +| 0.8967 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="gini" | +| 0.8831 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="entropy" | +| 0.8804 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="gini" | +| 0.8386 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="gini" | +| 0.8379 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="entropy" | + +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9592 | | diff --git a/tuning_reports/idwiki.reverted.md b/tuning_reports/idwiki.reverted.md index 93cd5caf..7aa2628f 100644 --- a/tuning_reports/idwiki.reverted.md +++ b/tuning_reports/idwiki.reverted.md @@ -1,145 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.idwiki.reverted -- Date: 2017-09-07T19:56:30.212163 -- Observations: 99468 +- Date: 2021-02-11T18:03:35.912391 +- Observations: 97698 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9407 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.01 | -| GradientBoosting | 0.9395 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.01 | -| GradientBoosting | 0.9393 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.1 | -| GradientBoosting | 0.9392 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=0.1 | -| RandomForestClassifier | 0.9391 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.939 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9389 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="gini" | -| GradientBoosting | 0.9388 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=0.1 | -| RandomForestClassifier | 0.9384 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="gini" | -| GradientBoosting | 0.9384 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=0.1 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9272 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| GradientBoosting | 0.9262 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| GradientBoosting | 0.9256 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| GradientBoosting | 0.9256 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| GradientBoosting | 0.9255 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| GradientBoosting | 0.9255 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| RandomForestClassifier | 0.9255 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| RandomForestClassifier | 0.9254 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| RandomForestClassifier | 0.9254 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | +| GradientBoosting | 0.9251 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | # Models -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:-------------------------------------------------------------------------------| -| 0.9391 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.939 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9389 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9384 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9374 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9372 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9351 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9349 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9347 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9345 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9341 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9332 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9317 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9314 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.9301 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9294 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="gini" | -| 0.9239 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9214 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="gini" | -| 0.92 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.918 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.9156 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="gini" | -| 0.9107 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="gini" | -| 0.91 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9097 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.8953 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.8918 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="gini" | -| 0.8822 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.8806 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="gini" | -| 0.8274 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.8198 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="gini" | - ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8342 | | +| 0.7821 | | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.815 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9121 | penalty="l1", C=1 | -| 0.9119 | penalty="l1", C=10 | -| 0.9111 | penalty="l1", C=0.1 | -| 0.5955 | penalty="l2", C=0.1 | -| 0.5703 | penalty="l2", C=1 | -| 0.5535 | penalty="l2", C=10 | +| 0.8208 | penalty="l2", C=1 | +| 0.8198 | penalty="l2", C=0.1 | +| 0.8185 | penalty="l2", C=10 | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9255 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| 0.9254 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| 0.9254 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | +| 0.9248 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | +| 0.9247 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | +| 0.9245 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| 0.924 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| 0.924 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="entropy" | +| 0.9239 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | +| 0.9228 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="entropy" | +| 0.9226 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | +| 0.9226 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | +| 0.9222 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="gini" | +| 0.9221 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="gini" | +| 0.922 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | +| 0.9219 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="entropy" | +| 0.9216 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="entropy" | +| 0.9215 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="gini" | +| 0.9215 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="gini" | +| 0.9215 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | +| 0.9214 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | +| 0.9213 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="gini" | +| 0.921 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="gini" | +| 0.9208 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | +| 0.9207 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="gini" | +| 0.9206 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="gini" | +| 0.9203 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="gini" | +| 0.9201 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="entropy" | +| 0.9196 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="entropy" | +| 0.9194 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="gini" | +| 0.9193 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="gini" | +| 0.9192 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="gini" | +| 0.9179 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="entropy" | +| 0.9173 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="gini" | +| 0.9173 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="entropy" | +| 0.9166 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="gini" | +| 0.916 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="gini" | +| 0.9158 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="gini" | +| 0.9154 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="gini" | +| 0.9152 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="entropy" | +| 0.9146 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="entropy" | +| 0.9136 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="entropy" | +| 0.9136 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="entropy" | +| 0.9133 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="gini" | +| 0.9128 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="gini" | +| 0.9121 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="gini" | +| 0.9104 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="entropy" | +| 0.9097 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="gini" | +| 0.9069 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="entropy" | +| 0.9068 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="gini" | +| 0.9052 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="entropy" | +| 0.9047 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="gini" | +| 0.9041 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="gini" | +| 0.9034 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="gini" | +| 0.9012 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="entropy" | +| 0.9009 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="entropy" | +| 0.9001 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="entropy" | +| 0.8996 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="gini" | +| 0.8976 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="gini" | +| 0.8937 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="entropy" | +| 0.892 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="gini" | +| 0.8908 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="gini" | +| 0.8763 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="gini" | +| 0.8762 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="entropy" | +| 0.876 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="gini" | +| 0.87 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="entropy" | +| 0.8463 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="entropy" | +| 0.8403 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="gini" | +| 0.7842 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="gini" | +| 0.7802 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="entropy" | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9407 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.01 | -| 0.9395 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.01 | -| 0.9393 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.1 | -| 0.9392 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=0.1 | -| 0.9388 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=0.1 | -| 0.9384 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=0.1 | -| 0.9375 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=0.1 | -| 0.9374 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=0.01 | -| 0.9371 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=0.1 | -| 0.9365 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=0.01 | -| 0.9362 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=0.1 | -| 0.935 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=0.01 | -| 0.9328 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=0.1 | -| 0.932 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=0.1 | -| 0.9317 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.01 | -| 0.9313 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=0.5 | -| 0.9311 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=0.1 | -| 0.9311 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=0.01 | -| 0.9306 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=0.5 | -| 0.9302 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=0.5 | -| 0.9299 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=1 | -| 0.9294 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=1 | -| 0.9293 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=0.01 | -| 0.929 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=0.5 | -| 0.9287 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=1 | -| 0.9276 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=0.1 | -| 0.9272 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.1 | -| 0.9257 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=0.01 | -| 0.9256 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=0.1 | -| 0.9244 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=0.5 | -| 0.9237 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=1 | -| 0.9236 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.1 | -| 0.9228 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=0.1 | -| 0.9217 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=0.01 | -| 0.9213 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=0.5 | -| 0.9207 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=0.5 | -| 0.9182 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=0.01 | -| 0.9172 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=0.5 | -| 0.9147 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=0.5 | -| 0.9126 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=1 | -| 0.9096 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.5 | -| 0.9096 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=0.1 | -| 0.9067 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.5 | -| 0.9054 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=0.01 | -| 0.9048 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.5 | -| 0.9042 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=0.5 | -| 0.9038 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=0.5 | -| 0.9037 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=0.5 | -| 0.9035 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=0.5 | -| 0.9035 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=0.01 | -| 0.8981 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=0.01 | -| 0.8937 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=1 | -| 0.8868 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=0.01 | -| 0.879 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=1 | -| 0.8773 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=1 | -| 0.874 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=1 | -| 0.873 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=1 | -| 0.8725 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=1 | -| 0.8691 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=0.01 | -| 0.8566 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=1 | -| 0.8535 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=1 | -| 0.8521 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=1 | -| 0.8059 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=1 | -| 0.6352 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=1 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9272 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.9262 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.9256 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.9256 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.9255 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.9255 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.9251 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.9251 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.9251 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.9246 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.9231 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.923 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.923 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.9228 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.9224 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9222 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.9222 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.922 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.922 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.922 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.9218 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.9217 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.9217 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.9217 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.9217 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.9216 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.9215 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.9215 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.9214 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.9214 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.9213 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.9213 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.9213 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.9213 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.9212 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.9211 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.9211 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9211 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.9211 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.9211 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.9211 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.9208 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9205 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.9205 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.9204 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.9203 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.9202 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.9198 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.9198 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.9193 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.9191 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.9188 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.9188 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.9188 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.9182 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9182 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.9175 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9172 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9167 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.9156 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.9135 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.9133 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.9129 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.9126 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.9125 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.9125 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.9124 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.9123 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.9122 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.9122 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.9122 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.9122 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.9121 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.912 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.9118 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.9117 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.9117 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.9117 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.9116 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.9116 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.9115 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.9114 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.9108 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.9107 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.9107 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.9106 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.9105 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.9105 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.9103 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.9101 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.9101 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.91 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.91 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.9096 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.9093 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.9092 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.9092 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.9088 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.9087 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.9086 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.9086 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.9086 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.9085 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.9084 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.9084 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.9083 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.9081 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.9079 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.9078 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.9078 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.9066 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.9065 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.9064 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.9063 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.9061 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.9055 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.9052 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.9052 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.9049 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.9047 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.9047 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.9047 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.9046 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9046 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.9045 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.9044 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9044 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.9042 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.9042 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.9042 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.9041 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9041 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.904 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.904 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.9039 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.9038 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.9036 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.9035 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.1 | +| 0.9035 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.9034 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.9034 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=1 | +| 0.9033 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.9033 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.9033 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.1 | +| 0.9028 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.9024 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.9022 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.9021 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.9021 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.9021 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.902 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.1 | +| 0.9018 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.9016 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.1 | +| 0.9013 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.9012 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.1 | +| 0.9012 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.9011 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.9009 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.1 | +| 0.9008 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.1 | +| 0.9004 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.1 | +| 0.8999 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.8999 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.8997 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.1 | +| 0.8997 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.1 | +| 0.8995 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.8993 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.8992 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.8991 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.8988 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.8988 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.1 | +| 0.8983 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.8982 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.8979 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.8973 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.1 | +| 0.8973 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.1 | +| 0.8972 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.897 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.8968 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.1 | +| 0.8968 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.8962 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.8961 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.8956 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.8956 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.8954 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.8952 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.8949 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.8948 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.8943 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.1 | +| 0.8938 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.8929 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.8929 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.892 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.8914 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.8907 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.8906 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.8903 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.8899 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.8895 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.8872 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.8865 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.8835 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.1 | +| 0.8831 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.1 | +| 0.8824 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.1 | +| 0.8824 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.1 | +| 0.8817 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.1 | +| 0.8804 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.8801 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.8801 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.8794 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.8785 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.01 | +| 0.8784 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.01 | +| 0.8784 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.5 | +| 0.8778 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.01 | +| 0.8777 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.8773 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.5 | +| 0.877 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.877 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.8769 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.01 | +| 0.8769 | max_depth=1, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.01 | +| 0.8766 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.8763 | max_depth=3, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.876 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.5 | +| 0.8749 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.5 | +| 0.8741 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.5 | +| 0.8737 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.873 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.01 | +| 0.8728 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.01 | +| 0.8715 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.01 | +| 0.8706 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.8704 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.8702 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.01 | +| 0.8702 | max_depth=1, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.01 | +| 0.8681 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.8679 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.8675 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.866 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.8659 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.8657 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.8651 | max_depth=3, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.8604 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.01 | +| 0.8603 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.8597 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.8591 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.01 | +| 0.8576 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.01 | +| 0.8558 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.01 | +| 0.8558 | max_depth=1, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.01 | +| 0.8554 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.8547 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.8529 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.8527 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.8525 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.851 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.8508 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.8505 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.8504 | max_depth=3, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.8494 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.8493 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.8489 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=1 | +| 0.8481 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.8466 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.8466 | max_depth=5, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.8464 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.8463 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.8445 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.842 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=0.01 | +| 0.842 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=0.01 | +| 0.8382 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=0.01 | +| 0.8372 | max_depth=3, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.8336 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=0.01 | +| 0.8336 | max_depth=1, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=0.01 | +| 0.832 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=0.5 | +| 0.827 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=0.5 | +| 0.8258 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=0.5 | +| 0.8255 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=0.5 | +| 0.8228 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.8194 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=0.5 | +| 0.8167 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.8093 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.8075 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=3, learning_rate=1 | +| 0.8049 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.8036 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=7, learning_rate=1 | +| 0.8036 | max_depth=5, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.8024 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=1, learning_rate=1 | +| 0.7994 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=13, learning_rate=1 | +| 0.7989 | max_depth=7, max_features="log2", n_estimators=100, min_samples_leaf=5, learning_rate=1 | +| 0.7897 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.7832 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.7752 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.7733 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=0.5 | +| 0.7708 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=0.5 | +| 0.7694 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=0.5 | +| 0.7688 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=0.5 | +| 0.7683 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.7662 | max_depth=5, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.7629 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=0.5 | +| 0.7551 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=0.5 | +| 0.7545 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=0.5 | +| 0.753 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=7, learning_rate=1 | +| 0.7518 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=0.5 | +| 0.7515 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=0.5 | +| 0.7495 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=0.5 | +| 0.7469 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.7437 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=5, learning_rate=1 | +| 0.7433 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.7371 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=1 | +| 0.7366 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.7317 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=3, learning_rate=1 | +| 0.7293 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=1, learning_rate=1 | +| 0.7237 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=13, learning_rate=1 | +| 0.7161 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=13, learning_rate=1 | +| 0.7143 | max_depth=7, max_features="log2", n_estimators=300, min_samples_leaf=3, learning_rate=1 | +| 0.7139 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=1, learning_rate=1 | +| 0.7036 | max_depth=5, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.6855 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=5, learning_rate=1 | +| 0.6802 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=7, learning_rate=1 | +| 0.6746 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=5, learning_rate=1 | +| 0.6702 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=1, learning_rate=1 | +| 0.6677 | max_depth=7, max_features="log2", n_estimators=500, min_samples_leaf=7, learning_rate=1 | +| 0.6634 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=3, learning_rate=1 | +| 0.6537 | max_depth=7, max_features="log2", n_estimators=700, min_samples_leaf=13, learning_rate=1 | diff --git a/tuning_reports/iswiki.reverted.md b/tuning_reports/iswiki.reverted.md index d50f35c3..122283ae 100644 --- a/tuning_reports/iswiki.reverted.md +++ b/tuning_reports/iswiki.reverted.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.11 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.iswiki.reverted -- Date: 2017-12-02T19:56:10.188077 -- Observations: 19991 +- Date: 2021-02-11T20:50:34.483845 +- Observations: 19807 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9525 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | -| GradientBoosting | 0.9524 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300 | -| RandomForestClassifier | 0.9521 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | -| GradientBoosting | 0.9517 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500 | -| GradientBoosting | 0.9517 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300 | -| RandomForestClassifier | 0.9516 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | -| GradientBoosting | 0.9516 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500 | -| RandomForestClassifier | 0.9515 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | -| GradientBoosting | 0.9514 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700 | -| GradientBoosting | 0.9513 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9408 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9407 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| RandomForestClassifier | 0.9407 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| RandomForestClassifier | 0.9405 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| GradientBoosting | 0.9405 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| RandomForestClassifier | 0.9404 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| GradientBoosting | 0.9403 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9401 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9401 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| RandomForestClassifier | 0.9401 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="entropy" | # Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9238 | C=1, penalty="l1" | -| 0.9238 | C=0.1, penalty="l1" | -| 0.9234 | C=10, penalty="l1" | -| 0.8834 | C=0.1, penalty="l2" | -| 0.8803 | C=1, penalty="l2" | -| 0.8728 | C=10, penalty="l2" | - -## GaussianNB -| roc_auc.labels.true | params | -|| - ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9524 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300 | -| 0.9517 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500 | -| 0.9517 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300 | -| 0.9516 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500 | -| 0.9514 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700 | -| 0.9513 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700 | -| 0.9513 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700 | -| 0.9512 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500 | -| 0.9511 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300 | -| 0.95 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500 | -| 0.9498 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100 | -| 0.9494 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100 | -| 0.9491 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700 | -| 0.9475 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500 | -| 0.9474 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300 | -| 0.9462 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700 | -| 0.9457 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300 | -| 0.9455 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100 | -| 0.9455 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700 | -| 0.945 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500 | -| 0.9446 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700 | -| 0.9446 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300 | -| 0.9442 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700 | -| 0.9438 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100 | -| 0.9438 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500 | -| 0.9436 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300 | -| 0.9435 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700 | -| 0.9432 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700 | -| 0.9431 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300 | -| 0.943 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500 | -| 0.943 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100 | -| 0.9425 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500 | -| 0.942 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100 | -| 0.9414 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500 | -| 0.9411 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300 | -| 0.941 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100 | -| 0.9384 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100 | -| 0.9378 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300 | -| 0.9357 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100 | -| 0.9354 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100 | -| 0.9351 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300 | -| 0.9347 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100 | -| 0.9346 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100 | -| 0.9326 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700 | -| 0.9296 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500 | -| 0.929 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500 | -| 0.9289 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100 | -| 0.9238 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300 | -| 0.9229 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300 | -| 0.9193 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700 | -| 0.9162 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100 | -| 0.9095 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700 | -| 0.9081 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300 | -| 0.9081 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100 | -| 0.9045 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100 | -| 0.9018 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300 | -| 0.9015 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500 | -| 0.8999 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700 | -| 0.8994 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500 | -| 0.8851 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500 | -| 0.8826 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700 | -| 0.8512 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500 | -| 0.843 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300 | -| 0.8092 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9408 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9407 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9405 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9403 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9401 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9401 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9397 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9397 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9397 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9395 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9395 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9395 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9394 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9394 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9393 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9392 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9392 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.939 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.939 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.939 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9388 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9388 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9387 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9387 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9387 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9387 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9386 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9386 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9385 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9385 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9385 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9385 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9384 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9383 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9383 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9383 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9382 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9382 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9381 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9381 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9381 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9381 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9381 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.938 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.938 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9379 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9379 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9378 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9378 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9377 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9377 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9376 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9376 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9376 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9375 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9375 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9375 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9373 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9372 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9371 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9369 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9368 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9366 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9366 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9365 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9363 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9361 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.936 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9359 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9359 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9359 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9359 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9358 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9356 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9355 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9348 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9346 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9336 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9332 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9331 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.933 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9327 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9326 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9326 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9325 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9325 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9325 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9324 | n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9324 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9324 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9323 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9323 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9323 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9322 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9322 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9322 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9321 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.932 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.932 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9319 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9318 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9318 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9317 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9316 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9315 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9314 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9314 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9314 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9314 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9314 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9313 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9313 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9312 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9312 | n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9312 | n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9311 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9311 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9311 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9311 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.931 | n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.931 | n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.931 | n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.9309 | n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9303 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9301 | n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9301 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.93 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.93 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9299 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9299 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9297 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9297 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9297 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9296 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9295 | n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9295 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9293 | n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9293 | n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9293 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9293 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9292 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9291 | n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.929 | n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.929 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.929 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9289 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9288 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9287 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9287 | n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9286 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9284 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9283 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9282 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9282 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9279 | n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9279 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9277 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9277 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9277 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9277 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9276 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9274 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9274 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9272 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9271 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9271 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9269 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9268 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9268 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9267 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9267 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9267 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9266 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9265 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9265 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9264 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9264 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9263 | n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.9262 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9262 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9262 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9261 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9259 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9253 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9253 | n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.9252 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9251 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9236 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9233 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9231 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.923 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9228 | n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9224 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9222 | n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9222 | n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9222 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9221 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9221 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9221 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.922 | n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.922 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9214 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9212 | n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9212 | n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.9211 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.9211 | n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.921 | n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9208 | n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9208 | n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9206 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9206 | n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.92 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.92 | n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9197 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9191 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.919 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9188 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9184 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9183 | n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9182 | n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9181 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9179 | n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9179 | n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9175 | n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9153 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.9148 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.913 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.9119 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.9109 | n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.9109 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.9104 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.9092 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9092 | n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.9089 | n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.9089 | n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.9087 | n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.9081 | n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.9068 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.9068 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.9058 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.903 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.9022 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.901 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.9001 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.8986 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.8968 | n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_features="log2", max_depth=1 | +| 0.8959 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.8957 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.8952 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.8945 | n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_features="log2", max_depth=1 | +| 0.8945 | n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_features="log2", max_depth=1 | +| 0.8944 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.8938 | n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_features="log2", max_depth=1 | +| 0.8937 | n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8937 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.8937 | n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8934 | n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.8934 | n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8927 | n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_features="log2", max_depth=1 | +| 0.8915 | n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.891 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=3 | +| 0.891 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.8899 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.8899 | n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8891 | n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.887 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.8866 | n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.8862 | n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8844 | n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8844 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.8844 | n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8829 | n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8811 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.8801 | n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8796 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.8785 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.8782 | n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8771 | n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8763 | n_estimators=100, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8762 | n_estimators=100, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.868 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.8679 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.8664 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8619 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.8618 | n_estimators=100, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.8601 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.8597 | n_estimators=100, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.859 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.8565 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=3 | +| 0.8561 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.8544 | n_estimators=500, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8505 | n_estimators=300, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.8454 | n_estimators=100, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8445 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.8418 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.8391 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=3 | +| 0.8352 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.8318 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.8317 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.8266 | n_estimators=300, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.8132 | n_estimators=300, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.8051 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=3 | +| 0.8038 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=7 | +| 0.801 | n_estimators=500, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.7994 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=7 | +| 0.7946 | n_estimators=300, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.7906 | n_estimators=700, learning_rate=1, min_samples_leaf=1, max_features="log2", max_depth=5 | +| 0.7833 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.7812 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=7 | +| 0.781 | n_estimators=700, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.767 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=7 | +| 0.766 | n_estimators=700, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.7613 | n_estimators=700, learning_rate=1, min_samples_leaf=13, max_features="log2", max_depth=5 | +| 0.758 | n_estimators=500, learning_rate=1, min_samples_leaf=7, max_features="log2", max_depth=5 | +| 0.7515 | n_estimators=500, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.7471 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | +| 0.7431 | n_estimators=500, learning_rate=1, min_samples_leaf=5, max_features="log2", max_depth=5 | +| 0.7397 | n_estimators=300, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=3 | +| 0.7356 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=5 | +| 0.7223 | n_estimators=700, learning_rate=1, min_samples_leaf=3, max_features="log2", max_depth=7 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8854 | | +| 0.8801 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9525 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | -| 0.9521 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | -| 0.9516 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | -| 0.9515 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | -| 0.9511 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | -| 0.951 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | -| 0.951 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | -| 0.9508 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | -| 0.9506 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | -| 0.9505 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | -| 0.9503 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | -| 0.9502 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | -| 0.9502 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | -| 0.9501 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | -| 0.95 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | -| 0.95 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | -| 0.9498 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | -| 0.9498 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | -| 0.9496 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | -| 0.9493 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | -| 0.9493 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | -| 0.949 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | -| 0.9489 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | -| 0.9488 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | -| 0.9485 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | -| 0.9485 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | -| 0.9485 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | -| 0.9483 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | -| 0.9482 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | -| 0.948 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | -| 0.9479 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | -| 0.9479 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | -| 0.9479 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | -| 0.9477 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | -| 0.9476 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | -| 0.9475 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | -| 0.947 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | -| 0.9465 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | -| 0.9463 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | -| 0.9461 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | -| 0.9461 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | -| 0.9459 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | -| 0.9454 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | -| 0.9452 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | -| 0.9442 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | -| 0.9436 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | -| 0.9432 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | -| 0.9428 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | -| 0.9425 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | -| 0.9421 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | -| 0.941 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | -| 0.9405 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | -| 0.9401 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | -| 0.9401 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | -| 0.9361 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | -| 0.9354 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | -| 0.9346 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | -| 0.9298 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | -| 0.9175 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | -| 0.9137 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | +| 0.9407 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9405 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9404 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9401 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.94 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9396 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9395 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.939 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9387 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9386 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9386 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9385 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9384 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9384 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9383 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9381 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9376 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9375 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9375 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9374 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9373 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9373 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9373 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9372 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9369 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9368 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9368 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9367 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9364 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9364 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9363 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9361 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9355 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9353 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.935 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9349 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9348 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9348 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9347 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9346 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9346 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9343 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9343 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9342 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.934 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9335 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9328 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9328 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9326 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9324 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9319 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9318 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9303 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9297 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9286 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.928 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.928 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9278 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9277 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9277 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9259 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9255 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9254 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9237 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9231 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.918 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9172 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9152 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.8952 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.8917 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="gini" | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.6861 | | + +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8918 | penalty="l2", C=1 | +| 0.8892 | penalty="l2", C=0.1 | +| 0.8875 | penalty="l2", C=10 | diff --git a/tuning_reports/itwiki.damaging.md b/tuning_reports/itwiki.damaging.md index d0c60792..d0e13bb2 100644 --- a/tuning_reports/itwiki.damaging.md +++ b/tuning_reports/itwiki.damaging.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.6 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.itwiki.damaging -- Date: 2018-11-28T21:10:01.368094 -- Observations: 18622 +- Date: 2021-02-11T21:20:07.761628 +- Observations: 18400 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9229 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.9223 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=7 | -| GradientBoosting | 0.9222 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| RandomForestClassifier | 0.9221 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.9218 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.9215 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.9214 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.9213 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=3 | -| RandomForestClassifier | 0.9213 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.9211 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=13 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.925 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| GradientBoosting | 0.9249 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| GradientBoosting | 0.9247 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| GradientBoosting | 0.9246 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| GradientBoosting | 0.9246 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| RandomForestClassifier | 0.9243 | n_estimators=640, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| GradientBoosting | 0.9242 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| RandomForestClassifier | 0.924 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| GradientBoosting | 0.924 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| GradientBoosting | 0.924 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | # Models +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9243 | n_estimators=640, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.924 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9237 | n_estimators=640, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9235 | n_estimators=640, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9229 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9229 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9226 | n_estimators=640, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9226 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9224 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.922 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9211 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9202 | n_estimators=80, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9201 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9201 | n_estimators=80, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9201 | n_estimators=640, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9198 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9198 | n_estimators=640, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9197 | n_estimators=320, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9195 | n_estimators=160, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9193 | n_estimators=640, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9192 | n_estimators=640, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.919 | n_estimators=640, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9188 | n_estimators=320, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9187 | n_estimators=320, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9187 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9185 | n_estimators=320, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9184 | n_estimators=80, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9174 | n_estimators=40, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9171 | n_estimators=160, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9166 | n_estimators=80, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9165 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9164 | n_estimators=160, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9162 | n_estimators=40, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9162 | n_estimators=160, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9155 | n_estimators=40, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9154 | n_estimators=80, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9152 | n_estimators=80, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9148 | n_estimators=640, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9143 | n_estimators=160, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9138 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9136 | n_estimators=80, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9136 | n_estimators=40, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9131 | n_estimators=40, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9125 | n_estimators=40, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9123 | n_estimators=40, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.9107 | n_estimators=20, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9107 | n_estimators=20, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.9103 | n_estimators=80, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.9085 | n_estimators=20, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.9085 | n_estimators=20, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.9067 | n_estimators=20, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.9059 | n_estimators=80, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.9054 | n_estimators=40, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.9033 | n_estimators=10, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.9024 | n_estimators=20, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.9021 | n_estimators=10, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8989 | n_estimators=20, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8975 | n_estimators=10, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.8956 | n_estimators=20, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8935 | n_estimators=40, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.8927 | n_estimators=10, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8919 | n_estimators=40, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.8911 | n_estimators=10, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.8906 | n_estimators=10, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8801 | n_estimators=10, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8795 | n_estimators=20, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.8711 | n_estimators=10, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8685 | n_estimators=20, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.826 | n_estimators=10, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.8231 | n_estimators=10, criterion="gini", min_samples_leaf=1, max_features="log2" | + ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9222 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9208 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9207 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9206 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9206 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.92 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.92 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9198 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9197 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9189 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9187 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9185 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9185 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9184 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9168 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9165 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9163 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9149 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9148 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9143 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9141 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.914 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9137 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9124 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9108 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9108 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9102 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9096 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9084 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9059 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9051 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9044 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9043 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9037 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9024 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9005 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9001 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.8992 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | -| 0.8942 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.8922 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.8906 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.8831 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.8828 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.8754 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8702 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.8615 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.8526 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8473 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8355 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.8329 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.8327 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8061 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8042 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.8006 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.7975 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.7888 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.7885 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7849 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.7749 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7739 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7739 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7636 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7591 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | -| 0.743 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.925 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.9249 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.9247 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.9246 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.9246 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.9242 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.924 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.924 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9239 | learning_rate=0.01, 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min_samples_leaf=1, max_depth=7 | +| 0.9196 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9196 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9195 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.9195 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.9194 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.9193 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.9193 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9193 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9193 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9192 | 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max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.9141 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.914 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.914 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.9138 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.9136 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.9136 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9135 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.9131 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.913 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9127 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.9125 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9121 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.9119 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9118 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9116 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.9115 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.9112 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.9112 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.9111 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9111 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.911 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.911 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.9106 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9104 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.9103 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.91 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9099 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.9098 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9098 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.9097 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9089 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9087 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9085 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.9083 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.9081 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.908 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.9079 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9077 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9076 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9076 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.9075 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9074 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9073 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9072 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.9071 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9067 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9067 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9065 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.9058 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.9057 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.9056 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.9055 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.9053 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.9048 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.9042 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.9042 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9041 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.9035 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.9031 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.9028 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.9026 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.9024 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.9001 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8977 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8976 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8974 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8974 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8972 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8969 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8966 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8966 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8963 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.8957 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8951 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.894 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.894 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8937 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.892 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8914 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8889 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8886 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8886 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8882 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.8876 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8873 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.886 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | +| 0.8858 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | +| 0.8855 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | +| 0.8853 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | +| 0.8847 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8829 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8819 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8804 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | +| 0.8788 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8786 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8782 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8759 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8759 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8758 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8757 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8716 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8671 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8651 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.8629 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8614 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.8613 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8604 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8584 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8563 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8535 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8535 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.8505 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8498 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.8498 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8496 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8495 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8474 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8461 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.8443 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8437 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8398 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8397 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8376 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.8345 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8336 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8322 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.8213 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.818 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.8165 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.809 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.8084 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.8079 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | +| 0.8057 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.8037 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.8026 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.802 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.8017 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.8005 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.8004 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.8 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.7991 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | +| 0.7987 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.7955 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7954 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7949 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.7946 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.7946 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.794 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.7939 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.793 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7924 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7924 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7923 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7919 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7912 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.7912 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.7892 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.7877 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.7802 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.7802 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | +| 0.7729 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.772 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.7715 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7713 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.771 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7708 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.7675 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7671 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7664 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7663 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | +| 0.7657 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7651 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.7643 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.7633 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.7625 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | +| 0.7614 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | +| 0.7612 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.7609 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | +| 0.7604 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.7567 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7558 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.7549 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | +| 0.7547 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | +| 0.7527 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7527 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.7506 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.7505 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.746 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | +| 0.7448 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | +| 0.7444 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | +| 0.7407 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.737 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.7356 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | +| 0.7259 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.7213 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | +| 0.7146 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | +| 0.7096 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9024 | penalty="l1", C=10 | -| 0.9006 | penalty="l1", C=1 | -| 0.8972 | penalty="l1", C=0.1 | -| 0.5685 | penalty="l2", C=10 | -| 0.5551 | penalty="l2", C=0.1 | -| 0.5306 | penalty="l2", C=1 | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9229 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=5 | -| 0.9223 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=7 | -| 0.9221 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=5 | -| 0.9218 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=7 | -| 0.9215 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=7 | -| 0.9214 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=13 | -| 0.9213 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=3 | -| 0.9213 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=13 | -| 0.9211 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=13 | -| 0.921 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=5 | -| 0.9205 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=3 | -| 0.9202 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=13 | -| 0.9192 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=7 | -| 0.9186 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=3 | -| 0.9185 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=13 | -| 0.9184 | criterion="entropy", n_estimators=640, max_features="log2", min_samples_leaf=1 | -| 0.9177 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=7 | -| 0.9174 | criterion="entropy", n_estimators=320, max_features="log2", min_samples_leaf=1 | -| 0.9174 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=13 | -| 0.9172 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=3 | -| 0.917 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=5 | -| 0.9169 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=13 | -| 0.9169 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=5 | -| 0.9169 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=13 | -| 0.9165 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=7 | -| 0.9164 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=5 | -| 0.9164 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=3 | -| 0.9162 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=13 | -| 0.9158 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=5 | -| 0.9157 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=7 | -| 0.9156 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=7 | -| 0.9155 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=5 | -| 0.9151 | criterion="entropy", n_estimators=160, max_features="log2", min_samples_leaf=1 | -| 0.9147 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=3 | -| 0.9142 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=3 | -| 0.9141 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=13 | -| 0.9138 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=5 | -| 0.9129 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=7 | -| 0.9129 | criterion="gini", n_estimators=640, max_features="log2", min_samples_leaf=1 | -| 0.9128 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=3 | -| 0.9124 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=7 | -| 0.9122 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=7 | -| 0.912 | criterion="gini", n_estimators=320, max_features="log2", min_samples_leaf=1 | -| 0.9101 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=5 | -| 0.9095 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=5 | -| 0.9089 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=13 | -| 0.9088 | criterion="gini", n_estimators=160, max_features="log2", min_samples_leaf=1 | -| 0.9084 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=13 | -| 0.907 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=13 | -| 0.9048 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=3 | -| 0.9046 | criterion="entropy", n_estimators=80, max_features="log2", min_samples_leaf=1 | -| 0.9039 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=13 | -| 0.9019 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=7 | -| 0.901 | criterion="gini", n_estimators=80, max_features="log2", min_samples_leaf=1 | -| 0.8993 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=3 | -| 0.8988 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=5 | -| 0.8985 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=3 | -| 0.8977 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=7 | -| 0.8909 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=3 | -| 0.8907 | criterion="entropy", n_estimators=40, max_features="log2", min_samples_leaf=1 | -| 0.8887 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=7 | -| 0.8864 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=5 | -| 0.8854 | criterion="gini", n_estimators=40, max_features="log2", min_samples_leaf=1 | -| 0.8819 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=5 | -| 0.8751 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=3 | -| 0.8713 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=3 | -| 0.8646 | criterion="entropy", n_estimators=20, max_features="log2", min_samples_leaf=1 | -| 0.8633 | criterion="gini", n_estimators=20, max_features="log2", min_samples_leaf=1 | -| 0.8232 | criterion="entropy", n_estimators=10, max_features="log2", min_samples_leaf=1 | -| 0.8195 | criterion="gini", n_estimators=10, max_features="log2", min_samples_leaf=1 | +| 0.8246 | penalty="l2", C=10 | +| 0.8214 | penalty="l2", C=0.1 | +| 0.8203 | penalty="l2", C=1 | -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8742 | | +| 0.8893 | | -## GaussianNB +## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8527 | | +| 0.8746 | | diff --git a/tuning_reports/itwiki.goodfaith.md b/tuning_reports/itwiki.goodfaith.md index c16a128e..ec99e866 100644 --- a/tuning_reports/itwiki.goodfaith.md +++ b/tuning_reports/itwiki.goodfaith.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.6 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.itwiki.goodfaith -- Date: 2018-11-28T21:19:24.572456 -- Observations: 18622 +- Date: 2021-02-11T21:45:41.013744 +- Observations: 18400 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GradientBoosting | 0.9701 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=1 | -| GradientBoosting | 0.969 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.5 | -| GradientBoosting | 0.9687 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=0.5 | -| GradientBoosting | 0.9683 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=1 | -| GradientBoosting | 0.9678 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.5 | -| GradientBoosting | 0.9677 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=1 | -| GradientBoosting | 0.9676 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.1 | -| GradientBoosting | 0.9675 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=1 | -| GradientBoosting | 0.9673 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.1 | -| GradientBoosting | 0.9668 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=0.5 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.964 | | +| GradientBoosting | 0.944 | learning_rate=0.01, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=700 | +| RandomForestClassifier | 0.9438 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9436 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9436 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="entropy" | +| RandomForestClassifier | 0.9435 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="entropy" | +| GradientBoosting | 0.9434 | learning_rate=0.01, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=700 | +| GradientBoosting | 0.9432 | learning_rate=0.01, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=500 | +| GradientBoosting | 0.9431 | learning_rate=0.01, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=700 | +| GradientBoosting | 0.9431 | learning_rate=0.01, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=700 | # Models -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9069 | | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9156 | C=10, penalty="l1" | -| 0.9137 | C=1, penalty="l1" | -| 0.8932 | C=0.1, penalty="l1" | -| 0.6476 | C=0.1, penalty="l2" | -| 0.5901 | C=10, penalty="l2" | -| 0.5888 | C=1, penalty="l2" | - ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9701 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=1 | -| 0.969 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.5 | -| 0.9687 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=0.5 | -| 0.9683 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=1 | -| 0.9678 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.5 | -| 0.9677 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=1 | -| 0.9676 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.1 | -| 0.9675 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=1 | -| 0.9673 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.1 | -| 0.9668 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=0.5 | -| 0.9668 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=1 | -| 0.9666 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=1 | -| 0.9663 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=0.5 | -| 0.9658 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=1 | -| 0.9647 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.5 | -| 0.9638 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=0.5 | -| 0.9619 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=1 | -| 0.9589 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=1 | -| 0.9575 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=0.5 | -| 0.9499 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=1 | -| 0.9492 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=0.1 | -| 0.9491 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=0.1 | -| 0.9457 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=0.5 | -| 0.9446 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=1 | -| 0.9434 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=0.1 | -| 0.9412 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=0.1 | -| 0.9403 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=0.1 | -| 0.9402 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=0.01 | -| 0.9393 | max_features="log2", n_estimators=300, max_depth=7, learning_rate=0.01 | -| 0.9389 | max_features="log2", n_estimators=700, max_depth=5, learning_rate=0.01 | -| 0.9388 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=0.1 | -| 0.9388 | max_features="log2", n_estimators=500, max_depth=5, learning_rate=0.01 | -| 0.9386 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=0.1 | -| 0.9382 | max_features="log2", n_estimators=700, max_depth=3, learning_rate=0.1 | -| 0.9382 | max_features="log2", n_estimators=300, max_depth=5, learning_rate=0.01 | -| 0.9377 | max_features="log2", n_estimators=500, max_depth=7, learning_rate=0.01 | -| 0.9374 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=0.1 | -| 0.9374 | max_features="log2", n_estimators=500, max_depth=3, learning_rate=0.01 | -| 0.9373 | max_features="log2", n_estimators=700, max_depth=7, learning_rate=0.01 | -| 0.937 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=0.1 | -| 0.9369 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=0.1 | -| 0.9352 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.01 | -| 0.935 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=0.1 | -| 0.935 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=0.5 | -| 0.9349 | max_features="log2", n_estimators=100, max_depth=7, learning_rate=0.1 | -| 0.9343 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=0.01 | -| 0.9343 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=0.5 | -| 0.9335 | max_features="log2", n_estimators=300, max_depth=3, learning_rate=0.5 | -| 0.933 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=0.5 | -| 0.9327 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=0.5 | -| 0.9313 | max_features="log2", n_estimators=100, max_depth=5, learning_rate=0.01 | -| 0.931 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=0.1 | -| 0.9309 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=0.5 | -| 0.9289 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=0.01 | -| 0.9255 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=1 | -| 0.9246 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=0.01 | -| 0.9245 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=1 | -| 0.9242 | max_features="log2", n_estimators=100, max_depth=3, learning_rate=0.5 | -| 0.9239 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=0.01 | -| 0.9238 | max_features="log2", n_estimators=700, max_depth=1, learning_rate=1 | -| 0.9233 | max_features="log2", n_estimators=500, max_depth=1, learning_rate=1 | -| 0.9209 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=1 | -| 0.9099 | max_features="log2", n_estimators=300, max_depth=1, learning_rate=0.01 | -| 0.8988 | max_features="log2", n_estimators=100, max_depth=1, learning_rate=0.01 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.944 | learning_rate=0.01, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9434 | learning_rate=0.01, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9432 | learning_rate=0.01, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=500 | +| 0.9431 | learning_rate=0.01, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9431 | learning_rate=0.01, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=700 | +| 0.943 | learning_rate=0.01, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=500 | +| 0.9427 | learning_rate=0.01, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=700 | +| 0.9426 | learning_rate=0.01, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=500 | +| 0.9426 | learning_rate=0.01, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=500 | +| 0.9425 | learning_rate=0.01, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=500 | +| 0.9422 | learning_rate=0.01, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=700 | +| 0.9422 | learning_rate=0.01, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9422 | learning_rate=0.01, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=500 | +| 0.9421 | learning_rate=0.01, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=500 | +| 0.942 | learning_rate=0.01, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=500 | +| 0.942 | learning_rate=0.01, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=700 | +| 0.9419 | learning_rate=0.01, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=700 | +| 0.9419 | learning_rate=0.1, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=100 | +| 0.9417 | learning_rate=0.01, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=500 | +| 0.9417 | learning_rate=0.1, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=100 | +| 0.9416 | learning_rate=0.01, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=700 | +| 0.9416 | learning_rate=0.1, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=300 | +| 0.9416 | learning_rate=0.01, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9415 | learning_rate=0.1, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=300 | +| 0.9413 | learning_rate=0.01, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=500 | +| 0.9412 | learning_rate=0.01, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9411 | learning_rate=0.1, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=100 | +| 0.9411 | learning_rate=0.1, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=100 | +| 0.941 | learning_rate=0.1, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=100 | +| 0.941 | learning_rate=0.01, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=700 | +| 0.941 | learning_rate=0.01, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=700 | +| 0.9409 | learning_rate=0.01, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=300 | +| 0.9409 | learning_rate=0.01, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9407 | learning_rate=0.01, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9407 | learning_rate=0.1, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=300 | +| 0.9405 | learning_rate=0.1, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=100 | +| 0.9405 | learning_rate=0.01, min_samples_leaf=13, max_depth=3, 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learning_rate=0.01, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=100 | +| 0.9265 | learning_rate=0.5, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=100 | +| 0.9263 | learning_rate=0.1, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=500 | +| 0.9262 | learning_rate=0.01, min_samples_leaf=7, max_depth=1, max_features="log2", n_estimators=500 | +| 0.926 | learning_rate=1, min_samples_leaf=13, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9256 | learning_rate=0.01, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=100 | +| 0.9254 | learning_rate=1, min_samples_leaf=1, max_depth=1, max_features="log2", n_estimators=300 | +| 0.9254 | learning_rate=0.01, min_samples_leaf=1, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9254 | learning_rate=0.01, min_samples_leaf=3, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9254 | learning_rate=1, min_samples_leaf=5, max_depth=1, 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learning_rate=0.01, min_samples_leaf=13, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9239 | learning_rate=1, min_samples_leaf=3, max_depth=1, max_features="log2", n_estimators=100 | +| 0.9237 | learning_rate=1, min_samples_leaf=7, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9237 | learning_rate=1, min_samples_leaf=7, max_depth=1, max_features="log2", n_estimators=300 | +| 0.9233 | learning_rate=0.5, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=100 | +| 0.923 | learning_rate=1, min_samples_leaf=1, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9228 | learning_rate=1, min_samples_leaf=5, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9225 | learning_rate=1, min_samples_leaf=3, max_depth=1, max_features="log2", n_estimators=300 | +| 0.921 | learning_rate=1, min_samples_leaf=5, max_depth=1, max_features="log2", n_estimators=100 | +| 0.9205 | learning_rate=1, min_samples_leaf=13, max_depth=1, max_features="log2", n_estimators=700 | +| 0.9204 | learning_rate=0.1, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9202 | learning_rate=1, min_samples_leaf=7, max_depth=1, max_features="log2", n_estimators=700 | +| 0.92 | learning_rate=1, min_samples_leaf=3, max_depth=1, max_features="log2", n_estimators=500 | +| 0.9196 | learning_rate=0.5, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=300 | +| 0.9193 | learning_rate=0.5, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=300 | +| 0.9189 | learning_rate=1, min_samples_leaf=1, max_depth=1, max_features="log2", n_estimators=700 | +| 0.918 | learning_rate=0.5, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=100 | +| 0.9167 | learning_rate=0.01, min_samples_leaf=5, max_depth=1, max_features="log2", n_estimators=300 | +| 0.916 | learning_rate=0.5, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=300 | +| 0.916 | learning_rate=0.01, min_samples_leaf=13, max_depth=1, max_features="log2", n_estimators=300 | +| 0.9159 | learning_rate=0.1, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9155 | learning_rate=0.01, min_samples_leaf=7, max_depth=1, max_features="log2", n_estimators=300 | +| 0.9138 | learning_rate=0.1, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9136 | learning_rate=0.5, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=300 | +| 0.9135 | learning_rate=0.01, min_samples_leaf=1, max_depth=1, max_features="log2", n_estimators=300 | +| 0.9135 | learning_rate=0.01, min_samples_leaf=3, max_depth=1, max_features="log2", n_estimators=300 | +| 0.9133 | learning_rate=0.5, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=100 | +| 0.913 | learning_rate=0.5, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=100 | +| 0.911 | learning_rate=0.5, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=100 | +| 0.9109 | learning_rate=0.1, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9103 | learning_rate=1, min_samples_leaf=3, max_depth=1, max_features="log2", n_estimators=700 | +| 0.9092 | learning_rate=0.1, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=300 | +| 0.9084 | learning_rate=0.1, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9075 | learning_rate=0.1, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9073 | learning_rate=0.1, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9051 | learning_rate=0.1, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9041 | learning_rate=0.5, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=300 | +| 0.9033 | learning_rate=0.1, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=700 | +| 0.9027 | learning_rate=0.5, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=100 | +| 0.9001 | learning_rate=0.01, min_samples_leaf=5, max_depth=1, max_features="log2", n_estimators=100 | +| 0.8981 | learning_rate=0.01, min_samples_leaf=13, max_depth=1, max_features="log2", n_estimators=100 | +| 0.8976 | learning_rate=0.01, min_samples_leaf=7, max_depth=1, max_features="log2", n_estimators=100 | +| 0.8973 | learning_rate=1, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=100 | +| 0.8973 | learning_rate=0.01, min_samples_leaf=1, max_depth=1, max_features="log2", n_estimators=100 | +| 0.8973 | learning_rate=0.01, min_samples_leaf=3, max_depth=1, max_features="log2", n_estimators=100 | +| 0.8958 | learning_rate=1, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=100 | +| 0.8949 | learning_rate=0.5, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=100 | +| 0.8906 | learning_rate=1, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=100 | +| 0.8902 | learning_rate=1, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=100 | +| 0.8886 | learning_rate=1, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=100 | +| 0.888 | learning_rate=0.5, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=500 | +| 0.8757 | learning_rate=0.5, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=500 | +| 0.8738 | learning_rate=0.5, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=500 | +| 0.8629 | learning_rate=0.5, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=500 | +| 0.8573 | learning_rate=0.5, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=500 | +| 0.8559 | learning_rate=0.5, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=700 | +| 0.8535 | learning_rate=0.1, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8522 | learning_rate=0.1, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8508 | learning_rate=0.1, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8444 | learning_rate=0.5, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=700 | +| 0.8438 | learning_rate=0.1, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8427 | learning_rate=0.1, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8418 | learning_rate=0.1, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8409 | learning_rate=0.1, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8406 | learning_rate=0.1, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8397 | learning_rate=0.5, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=100 | +| 0.8387 | learning_rate=0.5, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=700 | +| 0.8361 | learning_rate=0.1, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8359 | learning_rate=1, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=300 | +| 0.834 | learning_rate=0.5, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=100 | +| 0.8327 | learning_rate=0.1, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8318 | learning_rate=1, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=300 | +| 0.8288 | learning_rate=1, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=300 | +| 0.8199 | learning_rate=0.5, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=700 | +| 0.8189 | learning_rate=0.5, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=500 | +| 0.817 | learning_rate=1, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=300 | +| 0.8169 | learning_rate=0.5, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8168 | learning_rate=0.5, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8146 | learning_rate=0.5, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8129 | learning_rate=0.5, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8125 | learning_rate=0.5, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=300 | +| 0.8122 | learning_rate=0.5, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8111 | learning_rate=0.5, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=700 | +| 0.8105 | learning_rate=0.5, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=300 | +| 0.8099 | learning_rate=0.5, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=700 | +| 0.8091 | learning_rate=0.5, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=700 | +| 0.8089 | learning_rate=0.5, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=100 | +| 0.8089 | learning_rate=0.5, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8087 | learning_rate=0.5, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=300 | +| 0.8068 | learning_rate=0.5, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=100 | +| 0.8065 | learning_rate=0.5, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=300 | +| 0.8059 | learning_rate=0.5, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=700 | +| 0.8052 | learning_rate=0.5, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=300 | +| 0.8041 | learning_rate=0.5, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=500 | +| 0.8038 | learning_rate=0.5, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=500 | +| 0.8029 | learning_rate=1, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=100 | +| 0.8027 | learning_rate=0.5, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=300 | +| 0.8019 | learning_rate=0.5, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=300 | +| 0.7993 | learning_rate=0.5, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=700 | +| 0.7989 | learning_rate=1, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=100 | +| 0.7988 | learning_rate=0.5, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=500 | +| 0.7986 | learning_rate=0.5, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=500 | +| 0.7986 | learning_rate=0.5, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7983 | learning_rate=1, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=100 | +| 0.7981 | learning_rate=0.5, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7969 | learning_rate=0.5, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=700 | +| 0.7967 | learning_rate=0.5, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=500 | +| 0.7946 | learning_rate=0.5, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=500 | +| 0.7943 | learning_rate=0.5, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7939 | learning_rate=0.5, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=100 | +| 0.7938 | learning_rate=0.5, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=700 | +| 0.7844 | learning_rate=1, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=100 | +| 0.7812 | learning_rate=1, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=300 | +| 0.7792 | learning_rate=1, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=500 | +| 0.7785 | learning_rate=1, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=500 | +| 0.777 | learning_rate=1, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7766 | learning_rate=1, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=300 | +| 0.7764 | learning_rate=1, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=500 | +| 0.7757 | learning_rate=1, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=100 | +| 0.7753 | learning_rate=1, min_samples_leaf=3, max_depth=3, max_features="log2", n_estimators=700 | +| 0.774 | learning_rate=1, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=500 | +| 0.7728 | learning_rate=1, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=100 | +| 0.7727 | learning_rate=1, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=100 | +| 0.7708 | learning_rate=1, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=700 | +| 0.7702 | learning_rate=1, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=500 | +| 0.7662 | learning_rate=1, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=500 | +| 0.7656 | learning_rate=1, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=500 | +| 0.7639 | learning_rate=1, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=100 | +| 0.7633 | learning_rate=1, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=100 | +| 0.7623 | learning_rate=1, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=300 | +| 0.7622 | learning_rate=1, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=700 | +| 0.7608 | learning_rate=1, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=700 | +| 0.7608 | learning_rate=1, min_samples_leaf=1, max_depth=3, max_features="log2", n_estimators=500 | +| 0.7595 | learning_rate=1, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=500 | +| 0.759 | learning_rate=1, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7588 | learning_rate=1, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=700 | +| 0.7579 | learning_rate=0.5, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=700 | +| 0.7576 | learning_rate=1, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=700 | +| 0.7565 | learning_rate=1, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=100 | +| 0.756 | learning_rate=1, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=300 | +| 0.7555 | learning_rate=1, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=500 | +| 0.7523 | learning_rate=1, min_samples_leaf=3, max_depth=5, max_features="log2", n_estimators=500 | +| 0.7513 | learning_rate=1, min_samples_leaf=1, max_depth=7, max_features="log2", n_estimators=700 | +| 0.745 | learning_rate=1, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7429 | learning_rate=1, min_samples_leaf=13, max_depth=7, max_features="log2", n_estimators=300 | +| 0.7414 | learning_rate=1, min_samples_leaf=3, max_depth=7, max_features="log2", n_estimators=700 | +| 0.7357 | learning_rate=1, min_samples_leaf=7, max_depth=3, max_features="log2", n_estimators=500 | +| 0.7318 | learning_rate=1, min_samples_leaf=7, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7288 | learning_rate=1, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=500 | +| 0.7217 | learning_rate=1, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=300 | +| 0.7201 | learning_rate=1, min_samples_leaf=5, max_depth=3, max_features="log2", n_estimators=700 | +| 0.7169 | learning_rate=1, min_samples_leaf=5, max_depth=7, max_features="log2", n_estimators=700 | +| 0.715 | learning_rate=1, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=300 | +| 0.7107 | learning_rate=1, min_samples_leaf=7, max_depth=7, max_features="log2", n_estimators=700 | +| 0.6971 | learning_rate=1, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=700 | +| 0.659 | learning_rate=1, min_samples_leaf=13, max_depth=5, max_features="log2", n_estimators=700 | +| 0.6499 | learning_rate=1, min_samples_leaf=1, max_depth=5, max_features="log2", n_estimators=700 | +| 0.6407 | learning_rate=1, min_samples_leaf=13, max_depth=3, max_features="log2", n_estimators=500 | +| 0.6272 | learning_rate=1, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=700 | +| 0.6203 | learning_rate=1, min_samples_leaf=5, max_depth=5, max_features="log2", n_estimators=500 | ## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8335 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.964 | | + +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8216 | C=0.1, penalty="l2" | +| 0.8186 | C=10, penalty="l2" | +| 0.8142 | C=1, penalty="l2" | + +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8899 | | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9461 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | -| 0.9453 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | -| 0.9442 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | -| 0.9436 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | -| 0.9434 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | -| 0.9433 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=7 | -| 0.943 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | -| 0.942 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | -| 0.9416 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | -| 0.9414 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | -| 0.9413 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | -| 0.9412 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | -| 0.9411 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | -| 0.9408 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | -| 0.9406 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=13 | -| 0.9403 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | -| 0.9402 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | -| 0.9399 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | -| 0.9396 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | -| 0.9393 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | -| 0.9392 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | -| 0.9388 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | -| 0.9386 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | -| 0.9384 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | -| 0.9384 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | -| 0.9379 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=7 | -| 0.9375 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | -| 0.9374 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | -| 0.9372 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | -| 0.9372 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | -| 0.9372 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | -| 0.9371 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | -| 0.9371 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=5 | -| 0.9369 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | -| 0.9368 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=13 | -| 0.9362 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | -| 0.9362 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | -| 0.9361 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=3 | -| 0.936 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | -| 0.936 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | -| 0.936 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | -| 0.9347 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | -| 0.9346 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | -| 0.9344 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | -| 0.9341 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | -| 0.9338 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | -| 0.9334 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | -| 0.9325 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | -| 0.9312 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=1 | -| 0.9312 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | -| 0.9308 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | -| 0.9305 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | -| 0.9301 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | -| 0.93 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | -| 0.93 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | -| 0.9295 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | -| 0.929 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | -| 0.9289 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | -| 0.9288 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | -| 0.9279 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | -| 0.9272 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | -| 0.9269 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | -| 0.9265 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | -| 0.9256 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | -| 0.9256 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | -| 0.9238 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | -| 0.9237 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | -| 0.9224 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | -| 0.9211 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | -| 0.9193 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9438 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9436 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9436 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9435 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.943 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.943 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9425 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9424 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9408 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9407 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9406 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.94 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9399 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.939 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.9384 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9377 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9371 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9371 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.937 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.9369 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9368 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9368 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9364 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9364 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9363 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9362 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9358 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9358 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9355 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9354 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9351 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9345 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.9345 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9343 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="gini" | +| 0.9342 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9333 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="gini" | +| 0.9332 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="gini" | +| 0.933 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9329 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9317 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="gini" | +| 0.931 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9307 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9303 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9291 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9284 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9279 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="gini" | +| 0.9265 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9237 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9235 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9235 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9223 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.9197 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="gini" | +| 0.9178 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="gini" | +| 0.9171 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9161 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9159 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.9107 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="gini" | +| 0.9103 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.9069 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="gini" | +| 0.9045 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.9031 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.8984 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="gini" | +| 0.8983 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="gini" | +| 0.8948 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.893 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="gini" | +| 0.8757 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="gini" | +| 0.8623 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.8577 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="gini" | +| 0.819 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.804 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="gini" | diff --git a/tuning_reports/jawiki.damaging.md b/tuning_reports/jawiki.damaging.md index 37467a37..9a7b1fe0 100644 --- a/tuning_reports/jawiki.damaging.md +++ b/tuning_reports/jawiki.damaging.md @@ -1,439 +1,439 @@ # Model tuning report - Revscoring version: 2.9.3 - Features: editquality.feature_lists.jawiki.damaging -- Date: 2021-02-04T13:13:28.862507 +- Date: 2021-02-11T12:22:05.330681 - Observations: 27643 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| -| GradientBoosting | 0.8522 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | -| GradientBoosting | 0.8512 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | -| GradientBoosting | 0.8508 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | -| GradientBoosting | 0.8507 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | -| GradientBoosting | 0.8505 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | -| GradientBoosting | 0.8505 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | -| GradientBoosting | 0.8503 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | -| GradientBoosting | 0.8501 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | -| GradientBoosting | 0.8499 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | -| GradientBoosting | 0.8498 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.8514 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7 | +| GradientBoosting | 0.8514 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13 | +| GradientBoosting | 0.8511 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5 | +| GradientBoosting | 0.8507 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13 | +| GradientBoosting | 0.8505 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3 | +| GradientBoosting | 0.8502 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13 | +| GradientBoosting | 0.8501 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5 | +| GradientBoosting | 0.85 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7 | +| GradientBoosting | 0.8499 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7 | +| GradientBoosting | 0.8496 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1 | # Models -## GaussianNB +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.7557 | C=1, penalty="l2" | +| 0.7538 | C=0.1, penalty="l2" | +| 0.749 | C=10, penalty="l2" | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8514 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7 | +| 0.8514 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13 | +| 0.8511 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5 | +| 0.8507 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13 | +| 0.8505 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3 | +| 0.8502 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13 | +| 0.8501 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5 | +| 0.85 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7 | +| 0.8499 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7 | +| 0.8496 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1 | +| 0.8494 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13 | +| 0.8493 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3 | +| 0.8491 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3 | +| 0.849 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1 | +| 0.8485 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5 | +| 0.8484 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7 | +| 0.8483 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1 | +| 0.8482 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5 | +| 0.8482 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1 | +| 0.8482 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7 | +| 0.8481 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13 | +| 0.8478 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13 | +| 0.8478 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5 | +| 0.8476 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13 | +| 0.8476 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5 | +| 0.8475 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3 | +| 0.8475 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13 | +| 0.8474 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1 | +| 0.8474 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7 | +| 0.8471 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3 | +| 0.847 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5 | +| 0.847 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1 | +| 0.8469 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3 | +| 0.8469 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7 | +| 0.8468 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1 | +| 0.8468 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5 | +| 0.8466 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5 | +| 0.8464 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7 | +| 0.8464 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7 | +| 0.8463 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7 | +| 0.8463 | learning_rate=0.01, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1 | +| 0.8461 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13 | +| 0.846 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1 | +| 0.8458 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3 | +| 0.8458 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3 | +| 0.8457 | learning_rate=0.01, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13 | +| 0.8457 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3 | +| 0.8453 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13 | +| 0.8449 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13 | +| 0.8448 | learning_rate=0.1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7 | +| 0.8448 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1 | +| 0.844 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7 | +| 0.8436 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5 | +| 0.8433 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3 | +| 0.843 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13 | +| 0.8429 | learning_rate=0.01, max_features="log2", n_estimators=700, max_depth=1, 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max_depth=5, min_samples_leaf=3 | +| 0.7483 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1 | +| 0.7482 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13 | +| 0.7438 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1 | +| 0.7437 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5 | +| 0.7437 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1 | +| 0.7418 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1 | +| 0.7393 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1 | +| 0.7366 | learning_rate=0.1, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3 | +| 0.7359 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5 | +| 0.7346 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7 | +| 0.72 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7 | +| 0.7187 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3 | +| 0.7174 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13 | +| 0.7167 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13 | +| 0.7158 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7 | +| 0.714 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3 | +| 0.7038 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5 | +| 0.6968 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7 | +| 0.6932 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5 | +| 0.6925 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3 | +| 0.6925 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13 | +| 0.6912 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5 | +| 0.6906 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1 | +| 0.6882 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1 | +| 0.6695 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13 | +| 0.662 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13 | +| 0.6613 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13 | +| 0.6586 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3 | +| 0.6531 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13 | +| 0.6505 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5 | +| 0.6461 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5 | +| 0.6448 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13 | +| 0.6431 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3 | +| 0.6382 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5 | +| 0.6379 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13 | +| 0.636 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7 | +| 0.6334 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1 | +| 0.6332 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7 | +| 0.6324 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3 | +| 0.6304 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7 | +| 0.63 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3 | +| 0.6291 | learning_rate=0.1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3 | +| 0.6281 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7 | +| 0.6273 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13 | +| 0.6265 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5 | +| 0.6239 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1 | +| 0.6238 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7 | +| 0.6231 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7 | +| 0.6219 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3 | +| 0.6207 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3 | +| 0.6193 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1 | +| 0.619 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5 | +| 0.6189 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3 | +| 0.6185 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1 | +| 0.6179 | learning_rate=0.1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1 | +| 0.6164 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5 | +| 0.6163 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1 | +| 0.6162 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5 | +| 0.6148 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7 | +| 0.6139 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3 | +| 0.6139 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7 | +| 0.6134 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1 | +| 0.6129 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7 | +| 0.6129 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5 | +| 0.6124 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13 | +| 0.6118 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5 | +| 0.6107 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13 | +| 0.6103 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1 | +| 0.6101 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3 | +| 0.6094 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3 | +| 0.609 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1 | +| 0.6083 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3 | +| 0.6076 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7 | +| 0.6075 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7 | +| 0.6069 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5 | +| 0.6065 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3 | +| 0.6057 | learning_rate=0.5, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1 | +| 0.6047 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7 | +| 0.6046 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5 | +| 0.604 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13 | +| 0.6036 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7 | +| 0.6036 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7 | +| 0.603 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1 | +| 0.6028 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13 | +| 0.602 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5 | +| 0.5999 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7 | +| 0.5995 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1 | +| 0.5986 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5 | +| 0.5985 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13 | +| 0.5982 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13 | +| 0.5956 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13 | +| 0.5952 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3 | +| 0.5946 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3 | +| 0.5944 | learning_rate=0.5, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5 | +| 0.5942 | learning_rate=0.5, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7 | +| 0.5923 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7 | +| 0.5913 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7 | +| 0.59 | learning_rate=0.5, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1 | +| 0.5887 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13 | +| 0.5875 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3 | +| 0.5869 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13 | +| 0.5863 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5 | +| 0.586 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3 | +| 0.5854 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3 | +| 0.5842 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5 | +| 0.5827 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13 | +| 0.5807 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1 | +| 0.5796 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1 | +| 0.579 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13 | +| 0.5787 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13 | +| 0.5752 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1 | +| 0.571 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3 | +| 0.5707 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1 | +| 0.5691 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1 | +| 0.5681 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5 | +| 0.5657 | learning_rate=1, max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13 | +| 0.562 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7 | +| 0.5599 | learning_rate=1, max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3 | +| 0.5526 | learning_rate=1, max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5 | +| 0.5477 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5 | +| 0.5439 | learning_rate=1, max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1 | + +## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.7375 | | +| 0.8147 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.8426 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8405 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8394 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8385 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8381 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8363 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8362 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8356 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8356 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8354 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8344 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8336 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8334 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8331 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8329 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8328 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8324 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.832 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.8312 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8288 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8285 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8273 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8262 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8257 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8254 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8242 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8206 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8205 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8201 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.819 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8187 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.8151 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.8137 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.8133 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8133 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.8121 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8119 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8116 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.8109 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8098 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.8096 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8075 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8069 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.8048 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.8044 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.8043 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.8042 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.8011 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.7993 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.788 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.7869 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.7845 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.782 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.7812 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.7639 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.762 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.7618 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.754 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.752 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.7505 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.7469 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.7431 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.7358 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.7329 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.7148 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.7111 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.6644 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.6633 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.6262 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.622 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.8422 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="entropy" | +| 0.842 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | +| 0.8416 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="entropy" | +| 0.84 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | +| 0.8393 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | +| 0.8373 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | +| 0.8372 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| 0.8363 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="gini" | +| 0.8355 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| 0.8354 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | +| 0.8345 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="gini" | +| 0.834 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="gini" | +| 0.8333 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| 0.8328 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="gini" | +| 0.8324 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | +| 0.8323 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="gini" | +| 0.832 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="gini" | +| 0.8314 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="gini" | +| 0.8306 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| 0.8305 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | +| 0.83 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | +| 0.8293 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="gini" | +| 0.829 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="gini" | +| 0.8285 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="entropy" | +| 0.8285 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="gini" | +| 0.8251 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="gini" | +| 0.8244 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="entropy" | +| 0.8233 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | +| 0.8229 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="gini" | +| 0.8212 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="gini" | +| 0.8202 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="gini" | +| 0.8186 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="entropy" | +| 0.8185 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | +| 0.8183 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="gini" | +| 0.8163 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="entropy" | +| 0.8114 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="entropy" | +| 0.8104 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="entropy" | +| 0.8102 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="gini" | +| 0.8088 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="gini" | +| 0.8075 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="gini" | +| 0.8061 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="gini" | +| 0.8035 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="gini" | +| 0.8031 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="entropy" | +| 0.7996 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="entropy" | +| 0.7993 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="entropy" | +| 0.795 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="entropy" | +| 0.7918 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="entropy" | +| 0.7897 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="gini" | +| 0.7888 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="gini" | +| 0.786 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="gini" | +| 0.7849 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="entropy" | +| 0.7843 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="gini" | +| 0.7805 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="entropy" | +| 0.7736 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="entropy" | +| 0.7731 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="gini" | +| 0.7727 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="gini" | +| 0.7724 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="gini" | +| 0.7644 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="entropy" | +| 0.7575 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="gini" | +| 0.7548 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="gini" | +| 0.7512 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="entropy" | +| 0.7402 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="gini" | +| 0.7307 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="entropy" | +| 0.7296 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="entropy" | +| 0.7259 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="entropy" | +| 0.72 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="gini" | +| 0.6708 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="gini" | +| 0.6546 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="entropy" | +| 0.6388 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="gini" | +| 0.6126 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="entropy" | -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8147 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------------------| -| 0.8522 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | -| 0.8512 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | -| 0.8508 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | -| 0.8507 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | -| 0.8505 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | -| 0.8505 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | -| 0.8503 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | -| 0.8501 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | -| 0.8499 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | -| 0.8498 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | -| 0.8498 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | -| 0.8497 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | -| 0.8497 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | -| 0.8492 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | -| 0.8489 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | -| 0.8489 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | -| 0.8489 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | -| 0.8489 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | -| 0.8487 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | -| 0.8487 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | -| 0.8485 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | -| 0.8483 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | -| 0.8483 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | -| 0.8482 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | -| 0.8481 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | -| 0.848 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | -| 0.8479 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | -| 0.8477 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | -| 0.8472 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | -| 0.8471 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | -| 0.8471 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | -| 0.847 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | -| 0.8468 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | -| 0.8468 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | -| 0.8467 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | -| 0.8466 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | -| 0.8465 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | -| 0.8463 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | -| 0.8461 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | -| 0.846 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | -| 0.8458 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | -| 0.8458 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13 | -| 0.8458 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | -| 0.8457 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7 | -| 0.8456 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | -| 0.8454 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | -| 0.8454 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | -| 0.8452 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | -| 0.8452 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3 | -| 0.8451 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1 | -| 0.8448 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | -| 0.8447 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | -| 0.8446 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | -| 0.8446 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | -| 0.8446 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | -| 0.8439 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1 | -| 0.8439 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5 | -| 0.8437 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | -| 0.8436 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | -| 0.8433 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | -| 0.843 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | -| 0.8425 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | -| 0.8424 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | -| 0.8424 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | -| 0.8422 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3 | -| 0.8419 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | -| 0.8418 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | -| 0.8416 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13 | -| 0.8404 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | -| 0.8396 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | -| 0.8396 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7 | -| 0.8395 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | -| 0.8389 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | -| 0.8389 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | -| 0.8384 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | -| 0.8383 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | -| 0.8382 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | -| 0.8381 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | -| 0.8381 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | -| 0.8374 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | -| 0.8366 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | -| 0.8359 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | -| 0.8358 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3 | -| 0.8355 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7 | -| 0.8353 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | -| 0.8353 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | -| 0.835 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | -| 0.8348 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1 | -| 0.8348 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5 | -| 0.8343 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | -| 0.8339 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | -| 0.833 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | -| 0.833 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | -| 0.8324 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | -| 0.8323 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5 | -| 0.8321 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | -| 0.832 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13 | -| 0.832 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7 | -| 0.832 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13 | -| 0.8306 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | -| 0.8303 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | -| 0.8296 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | -| 0.8296 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | -| 0.8293 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | -| 0.829 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | -| 0.8287 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | -| 0.8286 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3 | -| 0.8285 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | -| 0.8284 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1 | -| 0.8281 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | -| 0.828 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | -| 0.828 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5 | -| 0.8277 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | -| 0.8275 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | -| 0.8275 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | -| 0.8274 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | -| 0.8259 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | -| 0.8259 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | -| 0.8245 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | -| 0.8237 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | -| 0.8219 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | -| 0.8203 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | -| 0.8198 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | -| 0.8188 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | -| 0.8185 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | -| 0.8185 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | -| 0.8183 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | -| 0.8175 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | -| 0.8164 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | -| 0.8161 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7 | -| 0.8158 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | -| 0.8153 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5 | -| 0.8151 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | -| 0.8133 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | -| 0.8131 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5 | -| 0.8123 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | -| 0.8121 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1 | -| 0.812 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | -| 0.8119 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | -| 0.8117 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | -| 0.8111 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13 | -| 0.8102 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1 | -| 0.8101 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | -| 0.8092 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | -| 0.8086 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | -| 0.8083 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7 | -| 0.8083 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13 | -| 0.8074 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13 | -| 0.8074 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3 | -| 0.8072 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | -| 0.807 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1 | -| 0.8068 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3 | -| 0.8068 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3 | -| 0.8064 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | -| 0.806 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7 | -| 0.8055 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5 | -| 0.8039 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | -| 0.8033 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | -| 0.8031 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | -| 0.8021 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | -| 0.8018 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | -| 0.8016 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | -| 0.7986 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | -| 0.7984 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | -| 0.7967 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | -| 0.7952 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | -| 0.7928 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | -| 0.7922 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | -| 0.7913 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | -| 0.7908 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | -| 0.7894 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | -| 0.7882 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | -| 0.7882 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | -| 0.7854 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | -| 0.7851 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | -| 0.7839 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | -| 0.7832 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | -| 0.7821 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | -| 0.7816 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7 | -| 0.7815 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | -| 0.7806 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | -| 0.7756 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5 | -| 0.7727 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13 | -| 0.7725 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3 | -| 0.7715 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1 | -| 0.7702 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | -| 0.7678 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | -| 0.7676 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | -| 0.7634 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | -| 0.7628 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | -| 0.7622 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5 | -| 0.7614 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | -| 0.7604 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13 | -| 0.7596 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | -| 0.7582 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | -| 0.7557 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | -| 0.7548 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1 | -| 0.7536 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | -| 0.7533 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | -| 0.7531 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | -| 0.7509 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3 | -| 0.7478 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | -| 0.7444 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | -| 0.7413 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7 | -| 0.7393 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | -| 0.7389 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | -| 0.7386 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | -| 0.7379 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | -| 0.7322 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | -| 0.7314 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | -| 0.7285 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | -| 0.724 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | -| 0.719 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | -| 0.7152 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | -| 0.7132 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | -| 0.703 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5 | -| 0.6996 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13 | -| 0.6962 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1 | -| 0.6944 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | -| 0.6873 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3 | -| 0.6841 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | -| 0.6807 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7 | -| 0.6728 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | -| 0.6701 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | -| 0.6684 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | -| 0.6661 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | -| 0.6443 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | -| 0.6428 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | -| 0.6425 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | -| 0.6423 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | -| 0.6404 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | -| 0.6377 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | -| 0.6366 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | -| 0.6335 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | -| 0.6318 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | -| 0.6304 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | -| 0.63 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | -| 0.6297 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7 | -| 0.6297 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | -| 0.629 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | -| 0.6289 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | -| 0.6281 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | -| 0.6273 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | -| 0.6259 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | -| 0.6258 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | -| 0.6249 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | -| 0.6238 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | -| 0.6222 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | -| 0.6217 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | -| 0.6215 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | -| 0.6209 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | -| 0.6208 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | -| 0.619 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3 | -| 0.6184 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | -| 0.6183 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5 | -| 0.6176 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1 | -| 0.6168 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | -| 0.6166 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | -| 0.6162 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3 | -| 0.6141 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13 | -| 0.6139 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | -| 0.6135 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | -| 0.6126 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | -| 0.6121 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | -| 0.6119 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13 | -| 0.6118 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | -| 0.6104 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | -| 0.6093 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1 | -| 0.6079 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | -| 0.6074 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3 | -| 0.6073 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | -| 0.607 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13 | -| 0.6067 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | -| 0.6064 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | -| 0.6059 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | -| 0.6057 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1 | -| 0.6051 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | -| 0.6048 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7 | -| 0.6042 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | -| 0.6039 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | -| 0.6025 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | -| 0.6021 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | -| 0.6016 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | -| 0.601 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3 | -| 0.6005 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1 | -| 0.5999 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | -| 0.5995 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5 | -| 0.5989 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1 | -| 0.5987 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | -| 0.5987 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | -| 0.5984 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | -| 0.5984 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | -| 0.5972 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7 | -| 0.5965 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5 | -| 0.5955 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13 | -| 0.5935 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | -| 0.5876 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | -| 0.5852 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | -| 0.5852 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | -| 0.5834 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5 | -| 0.583 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | -| 0.5818 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | -| 0.5803 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | -| 0.5801 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7 | -| 0.5773 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5 | -| 0.5731 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | -| 0.5726 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1 | -| 0.5709 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | -| 0.5701 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | -| 0.5669 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | -| 0.5665 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7 | -| 0.5615 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3 | -| 0.56 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | -| 0.5585 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13 | -| 0.5556 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | -| 0.5499 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7 | -| 0.5447 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | -| 0.5413 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3 | -| 0.5272 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13 | -| 0.5261 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.7564 | C=0.1, penalty="l2" | -| 0.756 | C=1, penalty="l2" | -| 0.7503 | C=10, penalty="l2" | +| 0.7375 | | diff --git a/tuning_reports/jawiki.goodfaith.md b/tuning_reports/jawiki.goodfaith.md index 8dff4034..96de1fd5 100644 --- a/tuning_reports/jawiki.goodfaith.md +++ b/tuning_reports/jawiki.goodfaith.md @@ -1,439 +1,439 @@ # Model tuning report - Revscoring version: 2.9.3 - Features: editquality.feature_lists.jawiki.goodfaith -- Date: 2021-02-04T13:49:45.696021 +- Date: 2021-02-11T12:57:47.747132 - Observations: 27643 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------------|-----------------------:|:-------------------------------------------------------------------------------------------| -| RandomForestClassifier | 0.8306 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | -| RandomForestClassifier | 0.8301 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| RandomForestClassifier | 0.8286 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| RandomForestClassifier | 0.8265 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| GradientBoosting | 0.8255 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | -| GradientBoosting | 0.8248 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | -| GradientBoosting | 0.8246 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | -| GradientBoosting | 0.8243 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | -| GradientBoosting | 0.8241 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | -| GradientBoosting | 0.824 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| RandomForestClassifier | 0.8322 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=3 | +| RandomForestClassifier | 0.828 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=13 | +| GradientBoosting | 0.8267 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| RandomForestClassifier | 0.8266 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=13 | +| GradientBoosting | 0.8248 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=13 | +| GradientBoosting | 0.8248 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| GradientBoosting | 0.8247 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| GradientBoosting | 0.8245 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=13 | +| GradientBoosting | 0.8239 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| RandomForestClassifier | 0.8235 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=7 | # Models -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.8255 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | -| 0.8248 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | -| 0.8246 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | -| 0.8243 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | -| 0.8241 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | -| 0.824 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | -| 0.8227 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | -| 0.8227 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | -| 0.8221 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | -| 0.822 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | -| 0.822 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | -| 0.8219 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | -| 0.8217 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | -| 0.8217 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | -| 0.8216 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | -| 0.8214 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | -| 0.8213 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | -| 0.8211 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | -| 0.8211 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | -| 0.8208 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | -| 0.8207 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | -| 0.8206 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | -| 0.8206 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | -| 0.8204 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | -| 0.8204 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | -| 0.8202 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | -| 0.82 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | -| 0.82 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | -| 0.8199 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | -| 0.8199 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | -| 0.8198 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | -| 0.8194 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | -| 0.8194 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | -| 0.8194 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | -| 0.8192 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | -| 0.8191 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | -| 0.819 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | -| 0.8189 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | -| 0.8189 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | -| 0.8187 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | -| 0.8186 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | -| 0.8186 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | -| 0.8181 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | -| 0.8179 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | -| 0.8178 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | -| 0.8177 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | -| 0.8175 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | -| 0.8172 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | -| 0.8172 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | -| 0.8169 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | -| 0.8167 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | -| 0.8162 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | -| 0.8158 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=3 | -| 0.8154 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=5 | -| 0.8152 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=13 | -| 0.8149 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=7 | -| 0.8148 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | -| 0.8145 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | -| 0.8143 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | -| 0.814 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=13 | -| 0.8135 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=1 | -| 0.8131 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=13 | -| 0.8124 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | -| 0.8121 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | -| 0.8121 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | -| 0.812 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | -| 0.8114 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | -| 0.8113 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=7 | -| 0.8111 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | -| 0.8108 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | -| 0.8106 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=1 | -| 0.8102 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5, min_samples_leaf=3 | -| 0.8101 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=1 | -| 0.81 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | -| 0.8093 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | -| 0.8093 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | -| 0.8091 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | -| 0.8091 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | -| 0.8088 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | -| 0.8086 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=13 | -| 0.808 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | -| 0.8077 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | -| 0.8075 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | -| 0.8074 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | -| 0.8073 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | -| 0.807 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | -| 0.8065 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | -| 0.806 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | -| 0.8052 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=5 | -| 0.8046 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1, min_samples_leaf=5 | -| 0.8045 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | -| 0.8037 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | -| 0.8031 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | -| 0.803 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | -| 0.8029 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=5 | -| 0.8027 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | -| 0.8026 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=3 | -| 0.8024 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=7 | -| 0.802 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3, min_samples_leaf=3 | -| 0.8016 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | -| 0.8015 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | -| 0.8011 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=7 | -| 0.7998 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | -| 0.7997 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | -| 0.7994 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7, min_samples_leaf=1 | -| 0.798 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | -| 0.7972 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | -| 0.7965 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | -| 0.7958 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | -| 0.7955 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | -| 0.7954 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | -| 0.7953 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | -| 0.7952 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | -| 0.7951 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | -| 0.7951 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | -| 0.7946 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | -| 0.7913 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | -| 0.7908 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | -| 0.7907 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | -| 0.7903 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | -| 0.7901 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | -| 0.7898 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | -| 0.7896 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | -| 0.7879 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | -| 0.7877 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | -| 0.787 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | -| 0.7864 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | -| 0.786 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | -| 0.7822 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | -| 0.78 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | -| 0.7794 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | -| 0.7789 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | -| 0.7786 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | -| 0.7777 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=5 | -| 0.7769 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=3 | -| 0.776 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=3 | -| 0.7758 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=13 | -| 0.7745 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | -| 0.7743 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=1 | -| 0.7737 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=7 | -| 0.7735 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | -| 0.7718 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=7 | -| 0.7712 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=13 | -| 0.7708 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | -| 0.7691 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=7 | -| 0.7678 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=5 | -| 0.7667 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3, min_samples_leaf=13 | -| 0.7639 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | -| 0.7607 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=3 | -| 0.7606 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1, min_samples_leaf=1 | -| 0.7605 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | -| 0.7603 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | -| 0.76 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | -| 0.76 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=1 | -| 0.7581 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | -| 0.7578 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | -| 0.7576 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1, min_samples_leaf=5 | -| 0.7508 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | -| 0.7461 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | -| 0.7442 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | -| 0.7426 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | -| 0.742 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | -| 0.7405 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | -| 0.7375 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | -| 0.7358 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | -| 0.7338 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | -| 0.7337 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | -| 0.7327 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | -| 0.7324 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | -| 0.7272 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | -| 0.7267 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=3 | -| 0.725 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | -| 0.7109 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | -| 0.7101 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=5 | -| 0.7051 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=1 | -| 0.7039 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | -| 0.6998 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | -| 0.6991 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | -| 0.6983 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=7 | -| 0.6795 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1, min_samples_leaf=13 | -| 0.6762 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | -| 0.6761 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | -| 0.6751 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | -| 0.6624 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | -| 0.6556 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | -| 0.6549 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | -| 0.649 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | -| 0.649 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | -| 0.6465 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | -| 0.6445 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | -| 0.6423 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | -| 0.6418 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | -| 0.6411 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | -| 0.6377 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | -| 0.634 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | -| 0.6288 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | -| 0.6276 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | -| 0.6247 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | -| 0.6216 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | -| 0.6196 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | -| 0.6179 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | -| 0.6179 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | -| 0.6154 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | -| 0.6129 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | -| 0.6125 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | -| 0.6094 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | -| 0.6094 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | -| 0.6093 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | -| 0.6077 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | -| 0.6041 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | -| 0.6025 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=7 | -| 0.6017 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | -| 0.6015 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | -| 0.6013 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | -| 0.601 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | -| 0.6009 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | -| 0.6008 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | -| 0.6008 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=13 | -| 0.5995 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | -| 0.5989 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=5 | -| 0.5967 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | -| 0.5966 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | -| 0.5965 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | -| 0.5962 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=13 | -| 0.5933 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=5 | -| 0.5919 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | -| 0.5917 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | -| 0.5909 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | -| 0.5908 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | -| 0.5904 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | -| 0.5894 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=7 | -| 0.5892 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | -| 0.5891 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | -| 0.589 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | -| 0.5889 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | -| 0.5889 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=7 | -| 0.5884 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | -| 0.5884 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | -| 0.5876 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | -| 0.5874 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | -| 0.5865 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=3 | -| 0.586 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | -| 0.5859 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=13 | -| 0.5851 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | -| 0.5845 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | -| 0.5841 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | -| 0.5812 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | -| 0.5811 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | -| 0.581 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | -| 0.5808 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=3 | -| 0.5806 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | -| 0.5803 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=3 | -| 0.5803 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | -| 0.5802 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | -| 0.5799 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | -| 0.5797 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | -| 0.5773 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | -| 0.5768 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | -| 0.5765 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | -| 0.5765 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | -| 0.5762 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=13 | -| 0.576 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | -| 0.5752 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | -| 0.5748 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | -| 0.5745 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | -| 0.5742 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | -| 0.5738 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=7 | -| 0.5736 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | -| 0.573 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | -| 0.5729 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | -| 0.5724 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | -| 0.5719 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=1 | -| 0.5717 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=13 | -| 0.5706 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=5 | -| 0.5689 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5, min_samples_leaf=1 | -| 0.5689 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | -| 0.5681 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | -| 0.568 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | -| 0.5677 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | -| 0.5673 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7, min_samples_leaf=1 | -| 0.5668 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | -| 0.5667 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=5 | -| 0.566 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | -| 0.5655 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=5 | -| 0.5653 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=7 | -| 0.5637 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | -| 0.5632 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | -| 0.5631 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | -| 0.5631 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | -| 0.5618 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3, min_samples_leaf=1 | -| 0.5611 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=3 | -| 0.5606 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=5 | -| 0.5605 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | -| 0.5604 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5, min_samples_leaf=1 | -| 0.5599 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | -| 0.5585 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | -| 0.5574 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | -| 0.5574 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | -| 0.5552 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=13 | -| 0.5548 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=1 | -| 0.5531 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=3 | -| 0.5525 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | -| 0.5525 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | -| 0.5518 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=7 | -| 0.5508 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=1 | -| 0.5508 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | -| 0.5486 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | -| 0.5483 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | -| 0.5458 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=3 | -| 0.5432 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=13 | -| 0.5391 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7, min_samples_leaf=1 | -| 0.5374 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=13 | -| 0.5354 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=7 | -| 0.5309 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | -| 0.5293 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=5 | -| 0.5283 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=7 | -| 0.5254 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | -| 0.52 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3, min_samples_leaf=3 | -| 0.5114 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5, min_samples_leaf=3 | -| 0.4945 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7, min_samples_leaf=5 | - -## GaussianNB +## BernoulliNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.8191 | | +| 0.7834 | | -## BernoulliNB +## GaussianNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.7834 | | +| 0.8191 | | -## LogisticRegression -| roc_auc.labels.false | params | -|-----------------------:|:--------------------| -| 0.7377 | C=0.1, penalty="l2" | -| 0.7224 | C=1, penalty="l2" | -| 0.7093 | C=10, penalty="l2" | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8267 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.8248 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.8248 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.8247 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.8245 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.8239 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.8233 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.8232 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.8229 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.8229 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.8229 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.8228 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.8227 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.8224 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.8223 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.8222 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.8222 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.822 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.822 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.8218 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.8217 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.8216 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.8212 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.8211 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.8208 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.8208 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.8207 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.8205 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.8204 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.8202 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.8198 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.8197 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.8197 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.8196 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.8194 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.8188 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.8187 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.8186 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.8186 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.8185 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.8184 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.8172 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.8172 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.817 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.817 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.8169 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.8169 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.8167 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.8163 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.8163 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.8158 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.8154 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.8153 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.8153 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.8151 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.8149 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.8143 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.8142 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.8142 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.8141 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.814 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.8137 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.8135 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.8132 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.8127 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.8125 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.8123 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.8122 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.8121 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.8119 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.8115 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.8114 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.8112 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.8109 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.8109 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.8108 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.8101 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.8101 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.8098 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.8096 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.8092 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.8087 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.8085 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.8079 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.8079 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.8078 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.8068 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.8067 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.8064 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.8059 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.8057 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.8055 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.805 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.805 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.805 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.8044 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.8042 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.8039 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.8026 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.8026 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.8022 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.8021 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.8013 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.8012 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.8006 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.7999 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.7999 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.7998 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.7989 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.7982 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.7982 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.7976 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.7973 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.7972 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.796 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.796 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.7954 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.7953 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.7926 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.7906 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.7903 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.7901 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.7896 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.7896 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.7896 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.7893 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.7891 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.7875 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.7864 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.7859 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.7858 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.7838 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.7824 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.7809 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.779 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.7778 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.7771 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.7765 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.7764 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.776 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.775 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.7746 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.7733 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.7725 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.7705 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.7698 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.7689 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.7686 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.7655 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.7634 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.7634 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=3 | +| 0.762 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.7604 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.7603 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=1 | +| 0.7599 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=7 | +| 0.758 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=1 | +| 0.7578 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=13 | +| 0.7577 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.7573 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.7566 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.7508 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=5 | +| 0.744 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=1 | +| 0.7406 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.7405 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=7 | +| 0.7393 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=1 | +| 0.7362 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=3 | +| 0.7345 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.7304 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=13 | +| 0.7262 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.723 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=5 | +| 0.7219 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=13 | +| 0.718 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=5 | +| 0.7162 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=3 | +| 0.716 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=7 | +| 0.7126 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.7106 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=5 | +| 0.7022 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=7 | +| 0.6999 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.6945 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=13 | +| 0.6871 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=3 | +| 0.6753 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=13 | +| 0.6696 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.6683 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.6669 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.6641 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.6635 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.6611 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.6531 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.653 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.6497 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.6379 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=7 | +| 0.6358 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=5 | +| 0.6357 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.6349 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.632 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=1 | +| 0.629 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.6283 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.6243 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.6234 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.6207 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.6198 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=3 | +| 0.6177 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.6173 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.6164 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.6164 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.616 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=13 | +| 0.6145 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.6126 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.6104 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.6082 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.6079 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=7 | +| 0.6062 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.6047 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.6026 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.6005 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.6004 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.5981 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.5976 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=1 | +| 0.5973 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.5961 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.5933 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.5931 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.5931 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=13 | +| 0.593 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=3 | +| 0.5925 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.592 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.5919 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.5913 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.5907 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.5897 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.5892 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.5884 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=3 | +| 0.5882 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.5881 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.5876 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=13 | +| 0.5872 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.5863 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.5859 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.5855 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=13 | +| 0.5847 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.5846 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.5844 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.5844 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.5843 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.5841 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=13 | +| 0.5838 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=5 | +| 0.5836 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.5836 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.5831 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.583 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.582 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.5817 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=5 | +| 0.5812 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.581 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=5 | +| 0.5803 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.5785 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.5781 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.5778 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.5773 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.5771 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.5768 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.5767 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=5 | +| 0.5764 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.5761 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.5753 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.5752 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.5745 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=3 | +| 0.5737 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.5736 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.5727 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.572 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.5716 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=13 | +| 0.5699 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=1 | +| 0.5688 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=7 | +| 0.5688 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=3 | +| 0.5685 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=1 | +| 0.566 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.5656 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=7 | +| 0.5651 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=3 | +| 0.5649 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.5646 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=13 | +| 0.5644 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=5 | +| 0.5636 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=5 | +| 0.5622 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=7 | +| 0.5619 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.5617 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.5616 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.5615 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=5 | +| 0.5615 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=1 | +| 0.5612 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=1 | +| 0.5612 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.5608 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=7 | +| 0.5605 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=3 | +| 0.5587 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.5571 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=3 | +| 0.5567 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=3 | +| 0.5564 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.5557 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=1 | +| 0.5519 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=7 | +| 0.5506 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=1 | +| 0.5499 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=5 | +| 0.5497 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=13 | +| 0.5482 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=7 | +| 0.5477 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=7 | +| 0.5476 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=1 | +| 0.5457 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=7 | +| 0.5456 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=13 | +| 0.5451 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=13 | +| 0.5425 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=5 | +| 0.5405 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=5 | +| 0.5384 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=7 | +| 0.5371 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=3 | +| 0.5331 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=13 | +| 0.5307 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=7 | +| 0.5259 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=1 | +| 0.525 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=1 | +| 0.5234 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=1 | +| 0.5117 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=3 | +| 0.5085 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=3 | +| 0.5039 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=13 | ## RandomForestClassifier | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------| -| 0.8306 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.8301 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.8286 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.8265 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.8231 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.8218 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.8211 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.8207 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.8204 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.8186 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.8182 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.8181 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.8169 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.8159 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.8153 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.8145 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.8137 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.8114 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.8104 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.809 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.8086 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.8065 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.8047 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.8042 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.8031 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.8029 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.8012 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.7998 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.7994 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.7984 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.797 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.7965 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.7955 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.791 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.7904 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.7842 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.7806 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.7772 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.7769 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.7737 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.7674 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.7668 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.7665 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.7662 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.7628 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.7614 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.7603 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.7602 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.7601 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.7591 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.7565 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.7498 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.7444 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.7365 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.7327 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.7299 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.7259 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.7193 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.7096 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.7091 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.7014 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.7008 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.6971 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.6888 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.6884 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.6517 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.6491 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.6428 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.6293 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.6173 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8322 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=3 | +| 0.828 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=13 | +| 0.8266 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=13 | +| 0.8235 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=7 | +| 0.8235 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=5 | +| 0.8233 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=13 | +| 0.8212 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=7 | +| 0.8205 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=13 | +| 0.8199 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=7 | +| 0.8198 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=13 | +| 0.8196 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=1 | +| 0.819 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=5 | +| 0.8176 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=7 | +| 0.8162 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=3 | +| 0.8156 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=5 | +| 0.8146 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=5 | +| 0.8134 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=5 | +| 0.8123 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=7 | +| 0.8123 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=3 | +| 0.812 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=13 | +| 0.8119 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | +| 0.81 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=1 | +| 0.8078 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=7 | +| 0.8076 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=5 | +| 0.807 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=13 | +| 0.8058 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=7 | +| 0.8029 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=5 | +| 0.8015 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=3 | +| 0.7994 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=13 | +| 0.7991 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=13 | +| 0.7971 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=5 | +| 0.7947 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=13 | +| 0.793 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=3 | +| 0.7918 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=3 | +| 0.7909 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=5 | +| 0.7848 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=7 | +| 0.7839 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=3 | +| 0.7826 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=13 | +| 0.7825 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=7 | +| 0.7774 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=13 | +| 0.7734 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=3 | +| 0.7732 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=13 | +| 0.7703 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=1 | +| 0.7693 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=1 | +| 0.7641 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=7 | +| 0.763 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=1 | +| 0.7586 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=5 | +| 0.7561 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=5 | +| 0.7511 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=5 | +| 0.7509 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=3 | +| 0.7489 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=7 | +| 0.7388 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=1 | +| 0.7362 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=1 | +| 0.7357 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=3 | +| 0.7215 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=3 | +| 0.7179 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=3 | +| 0.714 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=7 | +| 0.7115 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=5 | +| 0.7037 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=13 | +| 0.7021 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=7 | +| 0.6978 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=3 | +| 0.6846 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=5 | +| 0.6836 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=1 | +| 0.6761 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=1 | +| 0.6712 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=3 | +| 0.6674 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=1 | +| 0.6671 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=1 | +| 0.6505 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=1 | +| 0.6133 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=1 | +| 0.5979 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=1 | + +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.7263 | penalty="l2", C=0.1 | +| 0.7177 | penalty="l2", C=1 | +| 0.7074 | penalty="l2", C=10 | diff --git a/tuning_reports/kowiki.damaging.md b/tuning_reports/kowiki.damaging.md index b2f1cff1..7df2fa2c 100644 --- a/tuning_reports/kowiki.damaging.md +++ b/tuning_reports/kowiki.damaging.md @@ -1,439 +1,439 @@ # Model tuning report - Revscoring version: 2.9.3 - Features: editquality.feature_lists.kowiki.damaging -- Date: 2021-02-04T14:24:42.335202 +- Date: 2021-02-11T13:32:14.451575 - Observations: 19424 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| -| GradientBoosting | 0.8879 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | -| GradientBoosting | 0.8877 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | -| GradientBoosting | 0.8876 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | -| GradientBoosting | 0.8874 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | -| GradientBoosting | 0.8873 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | -| GradientBoosting | 0.887 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | -| GradientBoosting | 0.887 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | -| GradientBoosting | 0.887 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | -| GradientBoosting | 0.8869 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | -| GradientBoosting | 0.8868 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.8864 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | +| GradientBoosting | 0.8863 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | +| RandomForestClassifier | 0.8862 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=5 | +| GradientBoosting | 0.8858 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | +| GradientBoosting | 0.8857 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | +| GradientBoosting | 0.8855 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | +| GradientBoosting | 0.8854 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | +| GradientBoosting | 0.8854 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | +| RandomForestClassifier | 0.8851 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | +| GradientBoosting | 0.8851 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | # Models ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.7902 | | +| 0.7904 | | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.6548 | penalty="l2", C=10 | -| 0.6442 | penalty="l2", C=1 | -| 0.6426 | penalty="l2", C=0.1 | +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8864 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | +| 0.8863 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | +| 0.8858 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | +| 0.8857 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | +| 0.8855 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | +| 0.8854 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | +| 0.8854 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | +| 0.8851 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | +| 0.885 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=7 | +| 0.8849 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | +| 0.8847 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=7 | +| 0.8847 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | +| 0.8846 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=1 | +| 0.8845 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=13 | +| 0.8845 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | +| 0.8844 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | +| 0.8844 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | +| 0.8843 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=7 | +| 0.8843 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=13 | +| 0.8842 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=3 | +| 0.8841 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=3 | +| 0.884 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1, min_samples_leaf=7 | +| 0.884 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | +| 0.884 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | +| 0.884 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | +| 0.884 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=13 | +| 0.8839 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | +| 0.8838 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | +| 0.8836 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=13 | +| 0.8836 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | +| 0.8835 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | +| 0.8835 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01, min_samples_leaf=1 | +| 0.8835 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=5 | +| 0.8834 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | +| 0.8834 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | +| 0.8833 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | +| 0.8833 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=7 | +| 0.8832 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | +| 0.8832 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | +| 0.8832 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | +| 0.8831 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | +| 0.8831 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | +| 0.8831 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1, min_samples_leaf=3 | +| 0.883 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=7 | +| 0.883 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | +| 0.883 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=1 | +| 0.8829 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01, min_samples_leaf=1 | +| 0.8829 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=5 | +| 0.8828 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | +| 0.8826 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=7 | +| 0.8825 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | +| 0.8825 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=3 | +| 0.8825 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | +| 0.8825 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=3 | +| 0.8823 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=3 | +| 0.8823 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | +| 0.8822 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=3 | +| 0.882 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | +| 0.882 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=5 | +| 0.8819 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | +| 0.8818 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=7 | +| 0.8817 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=1 | +| 0.8817 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | +| 0.8817 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=5 | +| 0.8817 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=13 | +| 0.8816 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | +| 0.8816 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01, min_samples_leaf=1 | +| 0.8815 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | +| 0.8814 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | +| 0.8814 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | +| 0.8814 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | +| 0.8814 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | +| 0.8813 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | +| 0.8812 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | +| 0.8811 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01, min_samples_leaf=1 | +| 0.8809 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=13 | +| 0.8808 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=3 | +| 0.8808 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | +| 0.8808 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=7 | +| 0.8807 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=1 | +| 0.8806 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1, min_samples_leaf=13 | +| 0.8806 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=7 | +| 0.8805 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | +| 0.8804 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | +| 0.8804 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=5 | +| 0.8802 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | +| 0.8799 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=3 | +| 0.8798 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=5 | +| 0.8797 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | +| 0.8796 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=13 | +| 0.8795 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | +| 0.8794 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=1 | +| 0.8791 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=7 | +| 0.879 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=5 | +| 0.879 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=13 | +| 0.8789 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1, min_samples_leaf=5 | +| 0.8789 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | +| 0.8788 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=1, min_samples_leaf=5 | +| 0.8788 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | +| 0.8788 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1, min_samples_leaf=5 | +| 0.8787 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | +| 0.8786 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | +| 0.8786 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | +| 0.8785 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=13 | +| 0.8785 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=7 | +| 0.8784 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | +| 0.8783 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=1 | +| 0.8781 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | +| 0.8779 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1, min_samples_leaf=7 | +| 0.8778 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=1, min_samples_leaf=13 | +| 0.8778 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=3 | +| 0.8777 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=1 | +| 0.8775 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01, min_samples_leaf=3 | +| 0.8773 | max_features="log2", max_depth=1, n_estimators=300, learning_rate=1, min_samples_leaf=7 | +| 0.8773 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1, min_samples_leaf=13 | +| 0.8772 | 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learning_rate=0.1, min_samples_leaf=5 | +| 0.8697 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | +| 0.8696 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1, min_samples_leaf=3 | +| 0.8691 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=7 | +| 0.8682 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=13 | +| 0.8682 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | +| 0.868 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=13 | +| 0.8675 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | +| 0.8672 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | +| 0.8666 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | +| 0.866 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=5 | +| 0.866 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=5 | +| 0.866 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=1 | +| 0.866 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=3 | +| 0.866 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1, min_samples_leaf=1 | +| 0.8656 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=13 | +| 0.8656 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01, min_samples_leaf=3 | +| 0.8655 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1, min_samples_leaf=3 | +| 0.8655 | max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01, min_samples_leaf=7 | +| 0.8651 | max_features="log2", max_depth=7, n_estimators=300, 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max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=3 | +| 0.8618 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=7 | +| 0.8613 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1, min_samples_leaf=1 | +| 0.8611 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=5 | +| 0.8611 | max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01, min_samples_leaf=13 | +| 0.8602 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01, min_samples_leaf=7 | +| 0.86 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | +| 0.8597 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | +| 0.859 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=7 | +| 0.8588 | max_features="log2", max_depth=7, n_estimators=500, 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max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | +| 0.8537 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=5 | +| 0.8526 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | +| 0.8506 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=13 | +| 0.8502 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | +| 0.8492 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | +| 0.8492 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | +| 0.8488 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | +| 0.848 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | +| 0.8467 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | +| 0.8462 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | +| 0.8461 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | +| 0.8457 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | +| 0.8447 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=13 | +| 0.8446 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=1 | +| 0.8446 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=3 | +| 0.8435 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | +| 0.8427 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=3 | +| 0.8425 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | +| 0.8421 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=5 | +| 0.8419 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=1 | +| 0.8409 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1, min_samples_leaf=1 | +| 0.8408 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=5 | +| 0.8405 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | +| 0.8399 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=13 | +| 0.8389 | max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01, min_samples_leaf=7 | +| 0.8384 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=7 | +| 0.8376 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=3 | +| 0.8374 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | +| 0.8366 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=7 | +| 0.8357 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=13 | +| 0.8355 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | +| 0.8335 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5, min_samples_leaf=1 | +| 0.8317 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=1 | +| 0.8311 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=7 | +| 0.8307 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=5 | +| 0.8293 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=3 | +| 0.8283 | max_features="log2", max_depth=3, n_estimators=100, learning_rate=1, min_samples_leaf=5 | +| 0.8278 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=3 | +| 0.8259 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | +| 0.8256 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=13 | +| 0.8173 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=13 | +| 0.8145 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=1 | +| 0.8095 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=7 | +| 0.8094 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=7 | +| 0.8065 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=5 | +| 0.8059 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=5 | +| 0.805 | max_features="log2", max_depth=3, n_estimators=300, learning_rate=1, min_samples_leaf=3 | +| 0.8041 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | +| 0.8035 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=1 | +| 0.8004 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=7 | +| 0.7996 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | +| 0.7991 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=1 | +| 0.7986 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=13 | +| 0.7979 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=7 | +| 0.7966 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | +| 0.7952 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | +| 0.7948 | max_features="log2", max_depth=3, n_estimators=500, learning_rate=1, min_samples_leaf=3 | +| 0.7926 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=13 | +| 0.7892 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | +| 0.7876 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=1 | +| 0.7829 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=5 | +| 0.782 | max_features="log2", max_depth=5, n_estimators=100, learning_rate=1, min_samples_leaf=3 | +| 0.7771 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=7 | +| 0.7707 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=13 | +| 0.769 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=7 | +| 0.7669 | max_features="log2", max_depth=3, n_estimators=700, learning_rate=1, min_samples_leaf=3 | +| 0.7656 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=13 | +| 0.7648 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | +| 0.7646 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=5 | +| 0.7643 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | +| 0.7638 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | +| 0.7628 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=13 | +| 0.7624 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | +| 0.7622 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=3 | +| 0.7622 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | +| 0.7554 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5, min_samples_leaf=1 | +| 0.7554 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=5 | +| 0.7524 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=3 | +| 0.7517 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=1 | +| 0.751 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=3 | +| 0.7508 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=5 | +| 0.7489 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=1 | +| 0.7485 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=1 | +| 0.7482 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=13 | +| 0.7481 | max_features="log2", max_depth=5, n_estimators=300, learning_rate=1, min_samples_leaf=7 | +| 0.7479 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=3 | +| 0.7445 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=5 | +| 0.7438 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5, min_samples_leaf=7 | +| 0.7423 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=13 | +| 0.7375 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=7 | +| 0.7371 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=1 | +| 0.7365 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5, min_samples_leaf=3 | +| 0.7298 | max_features="log2", max_depth=7, n_estimators=100, learning_rate=1, min_samples_leaf=5 | +| 0.7276 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=13 | +| 0.7261 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=3 | +| 0.7261 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=13 | +| 0.7248 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=3 | +| 0.7237 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=13 | +| 0.7207 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=1 | +| 0.7203 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=7 | +| 0.7173 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=5 | +| 0.7166 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=3 | +| 0.7164 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=5 | +| 0.7102 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=1 | +| 0.71 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=13 | +| 0.7091 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=1 | +| 0.7055 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=7 | +| 0.7046 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=13 | +| 0.7014 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=7 | +| 0.6996 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=5 | +| 0.6988 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=1 | +| 0.6907 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=7 | +| 0.6905 | max_features="log2", max_depth=7, n_estimators=300, learning_rate=1, min_samples_leaf=1 | +| 0.6875 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=3 | +| 0.683 | max_features="log2", max_depth=5, n_estimators=500, learning_rate=1, min_samples_leaf=5 | +| 0.6822 | max_features="log2", max_depth=7, n_estimators=500, learning_rate=1, min_samples_leaf=3 | +| 0.676 | max_features="log2", max_depth=7, n_estimators=700, learning_rate=1, min_samples_leaf=5 | +| 0.6708 | max_features="log2", max_depth=5, n_estimators=700, learning_rate=1, min_samples_leaf=7 | ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.5567 | | +| 0.5602 | | -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------------------| -| 0.8879 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8877 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8876 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8874 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8873 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.887 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.887 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.887 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8869 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8868 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8868 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8868 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8867 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8866 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8865 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8864 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8864 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8864 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8864 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8862 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8861 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8859 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8859 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8859 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8859 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8858 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8857 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8857 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8856 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8856 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8856 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8856 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8855 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8855 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8855 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8854 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8854 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8852 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8851 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8851 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8851 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8849 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8849 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8849 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8846 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8846 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8846 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8845 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8844 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8844 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8844 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8842 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8842 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8839 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8839 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8837 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8836 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8835 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8834 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8834 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8833 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8833 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8833 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8833 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8832 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8832 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8832 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8831 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.883 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8829 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8829 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8829 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8829 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8827 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8827 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8824 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8823 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.8822 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8822 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8822 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8821 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8818 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8817 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8817 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8815 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8815 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8815 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8815 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8814 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8814 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8813 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8811 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8811 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8808 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8802 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8802 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8801 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8801 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8801 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8801 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.88 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.88 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8798 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8798 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8797 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8797 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8796 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8795 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8795 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8794 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8793 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8792 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.8792 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8791 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.8791 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.8791 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8789 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.8787 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8786 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.8782 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8778 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.8778 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8775 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.877 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.877 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.8765 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8764 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.8762 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.8759 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8754 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8754 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.8751 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8751 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.875 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.8749 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8749 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8748 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8746 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8744 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8742 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.8738 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8735 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8733 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8731 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.873 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.873 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8721 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.872 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8719 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8718 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8716 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8713 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8711 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8709 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8705 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8704 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8699 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8693 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8691 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.869 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8688 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8685 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8683 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8681 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8679 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8674 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8672 | max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8672 | max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.867 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.867 | max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8668 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8667 | max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8666 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8666 | max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.8664 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8663 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8655 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8644 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8637 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8634 | max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8634 | max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8627 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8627 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8623 | max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8621 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.862 | max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.8615 | max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.861 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8608 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8599 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8594 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8583 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8564 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8553 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.855 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8549 | max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8549 | max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8545 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8545 | max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8534 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.853 | max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8529 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8522 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8521 | max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.8516 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8512 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.851 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8503 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8503 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8501 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8491 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8489 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8482 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8469 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8465 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8462 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8457 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8453 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8429 | max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8425 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.842 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.8419 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8417 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8415 | max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8412 | max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8407 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8401 | max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8394 | max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8394 | max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8387 | max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.8382 | max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8376 | max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8375 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8355 | max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8354 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8333 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8328 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8283 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8281 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.822 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8149 | max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.8144 | max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.814 | max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.8133 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8108 | max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8108 | max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8094 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8091 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8088 | max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8073 | max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8051 | max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.804 | max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.8037 | max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.8032 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8023 | max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.8022 | max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.8014 | max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7973 | max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7964 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.7937 | max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7897 | max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7847 | max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7793 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7756 | max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.7754 | max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.774 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7726 | max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.77 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.7686 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.7684 | max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7673 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7663 | max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.7649 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7626 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7612 | max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.7605 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.7589 | max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7588 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.7559 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.7549 | max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.754 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.7539 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.7499 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.7477 | max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.7475 | max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7458 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.7453 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.7441 | max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7437 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7433 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7431 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7424 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7398 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7393 | max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7378 | max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7304 | max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7284 | max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7278 | max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7277 | max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7264 | max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7254 | max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7234 | max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7199 | max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7166 | max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7156 | max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7151 | max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7151 | max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7111 | max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7076 | max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7052 | max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7029 | max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7 | max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.6997 | max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.6985 | max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.6983 | max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.6961 | max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.6846 | max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.6816 | max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.6764 | max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.6729 | max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1 | +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.6683 | C=1, penalty="l2" | +| 0.663 | C=0.1, penalty="l2" | +| 0.6602 | C=10, penalty="l2" | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.8861 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | -| 0.8855 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | -| 0.8855 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | -| 0.8854 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | -| 0.8853 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | -| 0.8851 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | -| 0.8848 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | -| 0.8848 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | -| 0.8845 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | -| 0.8845 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | -| 0.8831 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | -| 0.8821 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | -| 0.8818 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | -| 0.8816 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | -| 0.8816 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | -| 0.8815 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | -| 0.8815 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | -| 0.8815 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | -| 0.8814 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | -| 0.8812 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | -| 0.8807 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | -| 0.8804 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | -| 0.8803 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | -| 0.8802 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | -| 0.8801 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | -| 0.8801 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | -| 0.8801 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | -| 0.8799 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | -| 0.8798 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | -| 0.8798 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | -| 0.8795 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | -| 0.8795 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | -| 0.879 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | -| 0.8787 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | -| 0.8777 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | -| 0.8773 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | -| 0.8766 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | -| 0.8759 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | -| 0.8758 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | -| 0.8757 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | -| 0.8756 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | -| 0.8753 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | -| 0.8746 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | -| 0.8724 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | -| 0.8723 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | -| 0.8722 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | -| 0.8718 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | -| 0.8709 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | -| 0.8701 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | -| 0.8695 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | -| 0.869 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | -| 0.8685 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | -| 0.8674 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | -| 0.8662 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | -| 0.8652 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | -| 0.8652 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | -| 0.8652 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | -| 0.8645 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | -| 0.8595 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | -| 0.8588 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | -| 0.8547 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | -| 0.8542 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | -| 0.8519 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | -| 0.8507 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | -| 0.8493 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | -| 0.8457 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | -| 0.8269 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | -| 0.8262 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | -| 0.7906 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | -| 0.7775 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.8862 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=5 | +| 0.8851 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | +| 0.885 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=5 | +| 0.885 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=7 | +| 0.885 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=7 | +| 0.885 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=3 | +| 0.8847 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=13 | +| 0.8846 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=5 | +| 0.8844 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=13 | +| 0.8836 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=13 | +| 0.8833 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=3 | +| 0.8833 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=3 | +| 0.8828 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=13 | +| 0.8822 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=5 | +| 0.882 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=7 | +| 0.8819 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=5 | +| 0.8819 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=13 | +| 0.8818 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=7 | +| 0.8817 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=5 | +| 0.8817 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=7 | +| 0.8817 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=1 | +| 0.8813 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=7 | +| 0.8812 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=3 | +| 0.8809 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=5 | +| 0.8809 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=13 | +| 0.8807 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=13 | +| 0.8803 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=13 | +| 0.8802 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=13 | +| 0.88 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=3 | +| 0.8799 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=5 | +| 0.8795 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=7 | +| 0.8791 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=3 | +| 0.8787 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=1 | +| 0.878 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=3 | +| 0.8779 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=13 | +| 0.8775 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=7 | +| 0.8771 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=3 | +| 0.876 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=1 | +| 0.8759 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=3 | +| 0.8757 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=13 | +| 0.8755 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=5 | +| 0.8749 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=3 | +| 0.8746 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=5 | +| 0.8743 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=1 | +| 0.8742 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=5 | +| 0.874 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=13 | +| 0.8739 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=7 | +| 0.8733 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=7 | +| 0.8729 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=1 | +| 0.8724 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=13 | +| 0.8724 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=1 | +| 0.8717 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=7 | +| 0.8716 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=5 | +| 0.8706 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=1 | +| 0.8663 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=13 | +| 0.8634 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=3 | +| 0.8623 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=7 | +| 0.8616 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=1 | +| 0.8612 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=3 | +| 0.8601 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=5 | +| 0.8593 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=7 | +| 0.8548 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=5 | +| 0.854 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=1 | +| 0.851 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=1 | +| 0.8482 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=3 | +| 0.8437 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=3 | +| 0.8273 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=1 | +| 0.8226 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=1 | +| 0.7894 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=1 | +| 0.7817 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=1 | diff --git a/tuning_reports/kowiki.goodfaith.md b/tuning_reports/kowiki.goodfaith.md index 97f537c8..c469da0d 100644 --- a/tuning_reports/kowiki.goodfaith.md +++ b/tuning_reports/kowiki.goodfaith.md @@ -1,7 +1,7 @@ # Model tuning report - Revscoring version: 2.9.3 - Features: editquality.feature_lists.kowiki.goodfaith -- Date: 2021-02-04T14:51:13.077580 +- Date: 2021-02-11T13:57:46.518345 - Observations: 19424 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) @@ -10,430 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.false | params | |:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| -| GradientBoosting | 0.8998 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.01 | -| GradientBoosting | 0.8996 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.01 | -| GradientBoosting | 0.899 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.01 | -| GradientBoosting | 0.8987 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.01 | -| GradientBoosting | 0.8986 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.1 | -| GradientBoosting | 0.8984 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.01 | -| GradientBoosting | 0.8982 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.1 | -| GradientBoosting | 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.1 | -| GradientBoosting | 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.01 | -| GradientBoosting | 0.898 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.01 | +| GradientBoosting | 0.8994 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| GradientBoosting | 0.8988 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| GradientBoosting | 0.8983 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| GradientBoosting | 0.8976 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| GradientBoosting | 0.8974 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| GradientBoosting | 0.8973 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| GradientBoosting | 0.8973 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| GradientBoosting | 0.8972 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| GradientBoosting | 0.8972 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| GradientBoosting | 0.8972 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | # Models ## GaussianNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.571 | | +| 0.5747 | | -## BernoulliNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.7921 | | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8994 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8988 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8983 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8976 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8974 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8973 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8973 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8972 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8972 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8972 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8971 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8969 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8966 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8966 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8966 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8966 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8966 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8965 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8965 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8964 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8963 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8962 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8961 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8961 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.896 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8959 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8958 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8958 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8958 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8957 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8956 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8955 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8955 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8953 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8952 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8952 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8951 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.895 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8948 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8947 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8945 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8945 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8944 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8943 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8943 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8942 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8942 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8939 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8939 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8938 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8937 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8937 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8937 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8937 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8935 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8935 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8934 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8934 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8933 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8933 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8932 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8932 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8931 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8931 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.893 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.893 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.893 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8929 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8929 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8923 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8922 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8922 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8922 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8921 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.892 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.892 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8918 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8917 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8917 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8917 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8915 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8914 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8914 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8913 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8911 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8909 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8908 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8908 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8907 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8906 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8904 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8903 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8889 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8889 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.8888 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8885 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8885 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8881 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8878 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8876 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8875 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.8874 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8873 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.8872 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.8871 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.8871 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.887 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.8865 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.8864 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8864 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8862 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8861 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8856 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.8856 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8855 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8855 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8854 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.8852 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.8852 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8851 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8851 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8851 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8851 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8851 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.885 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.885 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8843 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.8843 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.8842 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8842 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8842 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.8841 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8835 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8835 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8826 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.8822 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8821 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8819 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.8817 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8816 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8813 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8811 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8805 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.8805 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8803 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8801 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.88 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.88 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.8792 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8787 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8775 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8768 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8766 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8765 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8765 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8762 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8757 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8755 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.875 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8749 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8745 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8745 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8744 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8743 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8742 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8735 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8732 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8731 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8729 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8723 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.8721 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8718 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8718 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8716 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8714 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8712 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8712 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8711 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8709 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8705 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8698 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8698 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8694 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8687 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8687 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8667 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8667 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8652 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.864 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.8632 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8628 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8625 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.86 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8596 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8564 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8558 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8554 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8549 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.854 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8538 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8527 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8522 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8522 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7 | +| 0.8521 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1 | +| 0.8521 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3 | +| 0.8515 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8511 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5 | +| 0.851 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8509 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8504 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8465 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13 | +| 0.8463 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8459 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.8448 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8439 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.8436 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8435 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.84 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8377 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8371 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13 | +| 0.8352 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.8349 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8318 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8312 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.8307 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.8265 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8255 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7 | +| 0.8234 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8231 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.823 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.8229 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5 | +| 0.8227 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.8224 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8188 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.8186 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3 | +| 0.8175 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.8168 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.815 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.813 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.8125 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.8119 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.811 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.8087 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.8061 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.8033 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1 | +| 0.7988 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.7959 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.7938 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.7935 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.7898 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.7893 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.7884 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.7866 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.7853 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.7825 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.7756 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.7738 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.7618 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.7607 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.7547 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.753 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.7524 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.7521 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.7513 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.748 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.7464 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.7462 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.7452 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.745 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.7432 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.7431 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.743 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.7412 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.7401 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.7389 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.7388 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.7384 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.7359 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.7338 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.7316 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.731 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.7308 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.73 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13 | +| 0.7283 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.7283 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.7274 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5 | +| 0.7263 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.726 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7 | +| 0.7242 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.7238 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1 | +| 0.7202 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.7188 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3 | +| 0.7164 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.7161 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.7154 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.7145 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.711 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.7079 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.7067 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.705 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.704 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.6979 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.6951 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.6902 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.6825 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.6782 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.6703 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.6673 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.661 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.6592 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.6559 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1 | +| 0.6522 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.6484 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.6382 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13 | +| 0.636 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.6354 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.6338 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3 | +| 0.6254 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7 | +| 0.6191 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5 | +| 0.5904 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5 | ## RandomForestClassifier | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------| -| 0.8952 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="entropy" | -| 0.8952 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="entropy" | -| 0.8951 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="entropy" | -| 0.8947 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="entropy" | -| 0.8946 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="entropy" | -| 0.8941 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="entropy" | -| 0.8941 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="entropy" | -| 0.8937 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="entropy" | -| 0.8934 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="entropy" | -| 0.8931 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="entropy" | -| 0.893 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="entropy" | -| 0.8924 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="gini" | -| 0.8915 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="entropy" | -| 0.8915 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="entropy" | -| 0.8912 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="entropy" | -| 0.8912 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="entropy" | -| 0.8911 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="gini" | -| 0.8906 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="gini" | -| 0.8903 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="entropy" | -| 0.8902 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="gini" | -| 0.8896 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="gini" | -| 0.8894 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="gini" | -| 0.8893 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="gini" | -| 0.8891 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="entropy" | -| 0.889 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="entropy" | -| 0.889 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="gini" | -| 0.889 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="gini" | -| 0.8887 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="gini" | -| 0.8887 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="gini" | -| 0.8884 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="gini" | -| 0.8884 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="gini" | -| 0.8875 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="entropy" | -| 0.8866 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="gini" | -| 0.8864 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="gini" | -| 0.8862 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="entropy" | -| 0.8854 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="gini" | -| 0.8851 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="gini" | -| 0.8846 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="entropy" | -| 0.8845 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="gini" | -| 0.8843 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="gini" | -| 0.8841 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="entropy" | -| 0.883 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="entropy" | -| 0.8827 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="entropy" | -| 0.8823 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="gini" | -| 0.8821 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="gini" | -| 0.8812 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="entropy" | -| 0.88 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="gini" | -| 0.8799 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="gini" | -| 0.8794 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="gini" | -| 0.8776 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="entropy" | -| 0.8751 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="gini" | -| 0.8747 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="gini" | -| 0.8737 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="entropy" | -| 0.8729 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="gini" | -| 0.8696 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="entropy" | -| 0.8692 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="gini" | -| 0.8682 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="entropy" | -| 0.868 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="gini" | -| 0.8666 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="gini" | -| 0.8662 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="entropy" | -| 0.8633 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="entropy" | -| 0.8611 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="gini" | -| 0.8569 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="gini" | -| 0.8488 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="entropy" | -| 0.8475 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="entropy" | -| 0.842 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="gini" | -| 0.8193 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="entropy" | -| 0.8157 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="gini" | -| 0.7764 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="entropy" | -| 0.7718 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="gini" | - -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.8998 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.01 | -| 0.8996 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.01 | -| 0.899 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.01 | -| 0.8987 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.01 | -| 0.8986 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.1 | -| 0.8984 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.01 | -| 0.8982 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.1 | -| 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.1 | -| 0.8981 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.01 | -| 0.898 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.01 | -| 0.8979 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.1 | -| 0.8977 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.01 | -| 0.8977 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.01 | -| 0.8975 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.01 | -| 0.8975 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.1 | -| 0.8975 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.1 | -| 0.8974 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.1 | -| 0.8974 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.5 | -| 0.8972 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.01 | -| 0.8971 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.5 | -| 0.8971 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.1 | -| 0.8969 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.5 | -| 0.8969 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.01 | -| 0.8968 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.1 | -| 0.8967 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.01 | -| 0.8967 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.1 | -| 0.8965 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.1 | -| 0.8964 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.1 | -| 0.8963 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.01 | -| 0.8963 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.01 | -| 0.8962 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.1 | -| 0.896 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.5 | -| 0.8959 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.01 | -| 0.8959 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.1 | -| 0.8959 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.01 | -| 0.8957 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.5 | -| 0.8956 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.5 | -| 0.8955 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.1 | -| 0.8954 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.1 | -| 0.8953 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.1 | -| 0.8953 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.5 | -| 0.8952 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.01 | -| 0.8952 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.01 | -| 0.895 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.01 | -| 0.8949 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.01 | -| 0.8949 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.1 | -| 0.8948 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.1 | -| 0.8947 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.5 | -| 0.8947 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.01 | -| 0.8946 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.01 | -| 0.8946 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.01 | -| 0.8945 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.1 | -| 0.8944 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.01 | -| 0.8943 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.01 | -| 0.8942 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.5 | -| 0.8942 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.5 | -| 0.8941 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.5 | -| 0.8941 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.5 | -| 0.8939 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.5 | -| 0.8939 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.01 | -| 0.8937 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.01 | -| 0.8936 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.1 | -| 0.8936 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.5 | -| 0.8936 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=1 | -| 0.8935 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.5 | -| 0.8934 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.1 | -| 0.8934 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.01 | -| 0.8933 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.1 | -| 0.8933 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.1 | -| 0.8931 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.01 | -| 0.8931 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.5 | -| 0.8929 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.01 | -| 0.8929 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.1 | -| 0.8928 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.01 | -| 0.8928 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.1 | -| 0.8928 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.1 | -| 0.8928 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.01 | -| 0.8927 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.01 | -| 0.8926 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.01 | -| 0.8923 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.01 | -| 0.8923 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.01 | -| 0.8922 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.5 | -| 0.8922 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.01 | -| 0.8922 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.01 | -| 0.8921 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.1 | -| 0.8919 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.01 | -| 0.8919 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.1 | -| 0.8918 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=1 | -| 0.8918 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.1 | -| 0.8917 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.1 | -| 0.8917 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.5 | -| 0.8915 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.5 | -| 0.8913 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.1 | -| 0.8912 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.01 | -| 0.891 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.1 | -| 0.8907 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.1 | -| 0.8905 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=1 | -| 0.8904 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.01 | -| 0.8897 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.1 | -| 0.8886 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.5 | -| 0.8883 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.1 | -| 0.8883 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=1 | -| 0.888 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.01 | -| 0.8879 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=1 | -| 0.8879 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.01 | -| 0.8878 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.1 | -| 0.8878 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.01 | -| 0.8875 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.01 | -| 0.8875 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=1 | -| 0.8873 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.1 | -| 0.8873 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.01 | -| 0.8871 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.01 | -| 0.8867 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.01 | -| 0.8867 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.01 | -| 0.8866 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.01 | -| 0.8866 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=1 | -| 0.8864 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.01 | -| 0.8862 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.01 | -| 0.8862 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.1 | -| 0.8858 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.1 | -| 0.8854 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.01 | -| 0.8854 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.01 | -| 0.8853 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.1 | -| 0.8849 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=1 | -| 0.8847 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.1 | -| 0.8846 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.1 | -| 0.8844 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=1 | -| 0.884 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.1 | -| 0.884 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.1 | -| 0.884 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=1 | -| 0.8838 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=1 | -| 0.8833 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.1 | -| 0.883 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.1 | -| 0.8822 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.1 | -| 0.8821 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=1 | -| 0.8819 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.1 | -| 0.8816 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.1 | -| 0.8816 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=1 | -| 0.8811 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.1 | -| 0.8806 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.1 | -| 0.8796 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.1 | -| 0.8794 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=1 | -| 0.879 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=1, learning_rate=0.01 | -| 0.879 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=1 | -| 0.8786 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=0.01 | -| 0.8786 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=0.01 | -| 0.878 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.1 | -| 0.8777 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.1 | -| 0.8775 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=1, learning_rate=0.01 | -| 0.8775 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=0.01 | -| 0.877 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.1 | -| 0.8769 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.5 | -| 0.8768 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.1 | -| 0.8767 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.1 | -| 0.8766 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.5 | -| 0.8762 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.1 | -| 0.8759 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=1, learning_rate=1 | -| 0.8758 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.1 | -| 0.8754 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.1 | -| 0.8754 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.5 | -| 0.8753 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=1, learning_rate=1 | -| 0.8751 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.01 | -| 0.8747 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.1 | -| 0.8744 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=0.01 | -| 0.8739 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=0.01 | -| 0.8736 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.1 | -| 0.8735 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.1 | -| 0.8733 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=0.5 | -| 0.8732 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=1, learning_rate=0.01 | -| 0.873 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=1, learning_rate=0.01 | -| 0.873 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=1, learning_rate=0.01 | -| 0.8723 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=0.01 | -| 0.8722 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.1 | -| 0.8714 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.01 | -| 0.8713 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=0.01 | -| 0.8713 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=1, learning_rate=0.01 | -| 0.871 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.1 | -| 0.871 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=0.5 | -| 0.8705 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=1, learning_rate=1 | -| 0.8703 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.1 | -| 0.8696 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.1 | -| 0.869 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.1 | -| 0.8663 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=1, learning_rate=1 | -| 0.8661 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=1, learning_rate=0.01 | -| 0.8654 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=1, learning_rate=0.01 | -| 0.8652 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=0.5 | -| 0.8648 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.1 | -| 0.864 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=0.01 | -| 0.8639 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=1, learning_rate=0.01 | -| 0.8637 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=1, learning_rate=0.01 | -| 0.8622 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.1 | -| 0.8618 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=1, learning_rate=1 | -| 0.861 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=0.5 | -| 0.859 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=0.5 | -| 0.8588 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=0.5 | -| 0.8573 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.1 | -| 0.856 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.1 | -| 0.856 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=0.5 | -| 0.8557 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=0.5 | -| 0.8556 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=0.5 | -| 0.8532 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=0.5 | -| 0.8532 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=0.5 | -| 0.8515 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.1 | -| 0.851 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=0.5 | -| 0.8509 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=3, learning_rate=1 | -| 0.8505 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=1, learning_rate=0.01 | -| 0.8498 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=1, learning_rate=0.01 | -| 0.8487 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=1, learning_rate=0.01 | -| 0.8485 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=0.5 | -| 0.8482 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=1, learning_rate=0.01 | -| 0.8482 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=0.5 | -| 0.8466 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=1, learning_rate=0.01 | -| 0.8466 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=0.5 | -| 0.8466 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=0.5 | -| 0.846 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=0.5 | -| 0.8456 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=0.5 | -| 0.8452 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=0.5 | -| 0.8448 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=0.5 | -| 0.8423 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.1 | -| 0.8385 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=0.5 | -| 0.8358 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=0.5 | -| 0.8353 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=3, learning_rate=1 | -| 0.8322 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=0.5 | -| 0.8306 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.1 | -| 0.8306 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=0.5 | -| 0.8275 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.1 | -| 0.8254 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=3, learning_rate=1 | -| 0.8244 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=3, learning_rate=1 | -| 0.823 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=3, learning_rate=1 | -| 0.8229 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.1 | -| 0.8216 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=0.5 | -| 0.8205 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=0.5 | -| 0.8191 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=3, learning_rate=1 | -| 0.8184 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=0.5 | -| 0.8183 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=0.5 | -| 0.8174 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=0.5 | -| 0.8163 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.1 | -| 0.8151 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=0.5 | -| 0.8148 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=3, learning_rate=1 | -| 0.8135 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=0.5 | -| 0.8131 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.1 | -| 0.8124 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=3, learning_rate=1 | -| 0.8116 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=3, learning_rate=1 | -| 0.8114 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=3, learning_rate=1 | -| 0.8102 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=0.5 | -| 0.8079 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=5, learning_rate=1 | -| 0.8004 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=3, learning_rate=1 | -| 0.7993 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=3, learning_rate=1 | -| 0.794 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=5, learning_rate=1 | -| 0.791 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=5, learning_rate=1 | -| 0.7904 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=3, learning_rate=1 | -| 0.7903 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=3, learning_rate=1 | -| 0.786 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=3, learning_rate=1 | -| 0.7824 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=3, learning_rate=1 | -| 0.7819 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=3, learning_rate=1 | -| 0.7751 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=3, learning_rate=1 | -| 0.7719 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=3, learning_rate=1 | -| 0.7645 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=0.5 | -| 0.7624 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=0.5 | -| 0.7615 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=5, learning_rate=1 | -| 0.7613 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=5, learning_rate=1 | -| 0.7609 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=0.5 | -| 0.7605 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=0.5 | -| 0.7592 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=0.5 | -| 0.7591 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=3, learning_rate=1 | -| 0.7571 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=0.5 | -| 0.7562 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=0.5 | -| 0.7539 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=0.5 | -| 0.7517 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=0.5 | -| 0.7494 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=0.5 | -| 0.7487 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=0.5 | -| 0.747 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=0.5 | -| 0.7463 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=0.5 | -| 0.7461 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=0.5 | -| 0.7443 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=0.5 | -| 0.7426 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=0.5 | -| 0.7422 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=0.5 | -| 0.7421 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=0.5 | -| 0.7404 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=0.5 | -| 0.7403 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=0.5 | -| 0.7396 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=0.5 | -| 0.7395 | max_features="log2", min_samples_leaf=7, n_estimators=100, max_depth=7, learning_rate=1 | -| 0.7378 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=0.5 | -| 0.7365 | max_features="log2", min_samples_leaf=1, n_estimators=100, max_depth=7, learning_rate=1 | -| 0.7362 | max_features="log2", min_samples_leaf=5, n_estimators=100, max_depth=7, learning_rate=1 | -| 0.7351 | max_features="log2", min_samples_leaf=13, n_estimators=100, max_depth=7, learning_rate=1 | -| 0.7334 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=5, learning_rate=1 | -| 0.7316 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=0.5 | -| 0.7312 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=0.5 | -| 0.729 | max_features="log2", min_samples_leaf=3, n_estimators=100, max_depth=7, learning_rate=1 | -| 0.7272 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=0.5 | -| 0.7256 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=5, learning_rate=1 | -| 0.7216 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=5, learning_rate=1 | -| 0.7143 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=5, learning_rate=1 | -| 0.7139 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=5, learning_rate=1 | -| 0.7073 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=5, learning_rate=1 | -| 0.7061 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=5, learning_rate=1 | -| 0.7039 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=5, learning_rate=1 | -| 0.7008 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=7, learning_rate=1 | -| 0.7 | max_features="log2", min_samples_leaf=1, n_estimators=300, max_depth=7, learning_rate=1 | -| 0.6987 | max_features="log2", min_samples_leaf=7, n_estimators=300, max_depth=7, learning_rate=1 | -| 0.6966 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=7, learning_rate=1 | -| 0.6929 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=7, learning_rate=1 | -| 0.6926 | max_features="log2", min_samples_leaf=3, n_estimators=700, max_depth=7, learning_rate=1 | -| 0.6926 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=7, learning_rate=1 | -| 0.6905 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=5, learning_rate=1 | -| 0.688 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=7, learning_rate=1 | -| 0.688 | max_features="log2", min_samples_leaf=3, n_estimators=500, max_depth=5, learning_rate=1 | -| 0.6818 | max_features="log2", min_samples_leaf=13, n_estimators=700, max_depth=7, learning_rate=1 | -| 0.6818 | max_features="log2", min_samples_leaf=1, n_estimators=500, max_depth=5, learning_rate=1 | -| 0.6777 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=5, learning_rate=1 | -| 0.673 | max_features="log2", min_samples_leaf=3, n_estimators=300, max_depth=5, learning_rate=1 | -| 0.6721 | max_features="log2", min_samples_leaf=13, n_estimators=500, max_depth=7, learning_rate=1 | -| 0.6708 | max_features="log2", min_samples_leaf=13, n_estimators=300, max_depth=7, learning_rate=1 | -| 0.6682 | max_features="log2", min_samples_leaf=7, n_estimators=500, max_depth=7, learning_rate=1 | -| 0.6672 | max_features="log2", min_samples_leaf=5, n_estimators=300, max_depth=5, learning_rate=1 | -| 0.6621 | max_features="log2", min_samples_leaf=1, n_estimators=700, max_depth=5, learning_rate=1 | -| 0.6545 | max_features="log2", min_samples_leaf=7, n_estimators=700, max_depth=7, learning_rate=1 | -| 0.654 | max_features="log2", min_samples_leaf=5, n_estimators=500, max_depth=7, learning_rate=1 | -| 0.6523 | max_features="log2", min_samples_leaf=5, n_estimators=700, max_depth=7, learning_rate=1 | +| 0.8951 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8947 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8944 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8943 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8941 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8939 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8939 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8939 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8933 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8931 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8914 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8913 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8912 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8904 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8902 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.89 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.89 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.89 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8899 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8895 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8895 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8893 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8892 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8888 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8888 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.8883 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8879 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8876 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.8872 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8867 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8866 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8861 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.886 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.886 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8856 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8854 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8854 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.885 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8849 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8842 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8837 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8835 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8826 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.882 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8813 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.8808 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8797 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8796 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8793 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8762 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8741 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8734 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8728 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.8709 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.8708 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8705 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.8702 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8656 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8641 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8632 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8622 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.86 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8585 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8582 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8511 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8471 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8285 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8101 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.7657 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.7536 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | ## LogisticRegression | roc_auc.labels.false | params | |-----------------------:|:--------------------| -| 0.6551 | C=1, penalty="l2" | -| 0.6548 | C=10, penalty="l2" | -| 0.6508 | C=0.1, penalty="l2" | +| 0.6537 | penalty="l2", C=1 | +| 0.6448 | penalty="l2", C=10 | +| 0.6116 | penalty="l2", C=0.1 | + +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.7918 | | diff --git a/tuning_reports/lvwiki.damaging.md b/tuning_reports/lvwiki.damaging.md index 35d79a0e..796e9df1 100644 --- a/tuning_reports/lvwiki.damaging.md +++ b/tuning_reports/lvwiki.damaging.md @@ -1,185 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.lvwiki.damaging -- Date: 2018-03-27T19:36:30.475089 -- Observations: 20060 +- Date: 2021-02-12T07:08:24.222656 +- Observations: 19836 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:-----------------------------------------------------------------------| -| GradientBoosting | 0.978 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=500 | -| GradientBoosting | 0.9776 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=700 | -| GradientBoosting | 0.9771 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=700 | -| GradientBoosting | 0.9771 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=500 | -| GradientBoosting | 0.977 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=100 | -| GradientBoosting | 0.9769 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=300 | -| GradientBoosting | 0.9769 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=700 | -| GradientBoosting | 0.9767 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=300 | -| GradientBoosting | 0.9765 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=100 | -| GradientBoosting | 0.9763 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=500 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9789 | learning_rate=0.01, max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.9788 | learning_rate=0.1, max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| GradientBoosting | 0.9787 | learning_rate=0.1, max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| GradientBoosting | 0.9787 | learning_rate=0.1, max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| GradientBoosting | 0.9786 | learning_rate=0.01, max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| GradientBoosting | 0.9785 | learning_rate=0.01, max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| GradientBoosting | 0.9785 | learning_rate=0.01, max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.9785 | learning_rate=0.1, max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| GradientBoosting | 0.9784 | learning_rate=0.01, max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.9784 | learning_rate=0.1, max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2" | # Models +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9221 | | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9327 | | + ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.976 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=320 | -| 0.9759 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=640 | -| 0.9759 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=320 | -| 0.9756 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=640 | -| 0.9755 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=160 | -| 0.975 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=640 | -| 0.9748 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=320 | -| 0.9744 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=160 | -| 0.9742 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=160 | -| 0.9741 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=640 | -| 0.9737 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=640 | -| 0.9731 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=80 | -| 0.9729 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=640 | -| 0.9728 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=320 | -| 0.9728 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=160 | -| 0.9727 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=320 | -| 0.9723 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=40 | -| 0.9723 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=80 | -| 0.9723 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=320 | -| 0.9722 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=640 | -| 0.9722 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=40 | -| 0.972 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=160 | -| 0.9714 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=640 | -| 0.9714 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=80 | -| 0.9713 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=80 | -| 0.9712 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=320 | -| 0.9711 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=160 | -| 0.971 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=640 | -| 0.9709 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=320 | -| 0.9708 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=80 | -| 0.9706 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=320 | -| 0.9699 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=20 | -| 0.9697 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=160 | -| 0.9697 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=40 | -| 0.9695 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=160 | -| 0.9695 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=320 | -| 0.9692 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=80 | -| 0.9692 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=80 | -| 0.9691 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=40 | -| 0.969 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=160 | -| 0.9689 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=20 | -| 0.9684 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=640 | -| 0.9681 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=40 | -| 0.9674 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=160 | -| 0.9671 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=80 | -| 0.9671 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=40 | -| 0.9666 | max_features="log2", min_samples_leaf=13, criterion="entropy", n_estimators=10 | -| 0.9664 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=20 | -| 0.966 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=20 | -| 0.9658 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=80 | -| 0.9648 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=80 | -| 0.9643 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=40 | -| 0.9626 | max_features="log2", min_samples_leaf=7, criterion="entropy", n_estimators=10 | -| 0.9602 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=20 | -| 0.9597 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=20 | -| 0.9596 | max_features="log2", min_samples_leaf=13, criterion="gini", n_estimators=10 | -| 0.9595 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=20 | -| 0.959 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=40 | -| 0.9585 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=20 | -| 0.9567 | max_features="log2", min_samples_leaf=5, criterion="entropy", n_estimators=10 | -| 0.9536 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=40 | -| 0.9516 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=40 | -| 0.9511 | max_features="log2", min_samples_leaf=7, criterion="gini", n_estimators=10 | -| 0.9473 | max_features="log2", min_samples_leaf=5, criterion="gini", n_estimators=10 | -| 0.9465 | max_features="log2", min_samples_leaf=3, criterion="gini", n_estimators=10 | -| 0.9461 | max_features="log2", min_samples_leaf=3, criterion="entropy", n_estimators=10 | -| 0.9441 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=20 | -| 0.9432 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=20 | -| 0.9301 | max_features="log2", min_samples_leaf=1, criterion="entropy", n_estimators=10 | -| 0.9179 | max_features="log2", min_samples_leaf=1, criterion="gini", n_estimators=10 | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.978 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9776 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9771 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9771 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.977 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9769 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9769 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9767 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9765 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9763 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9763 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.976 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9756 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.975 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.9745 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9743 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9742 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9736 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9734 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.9732 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9731 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.973 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.9729 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9725 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9719 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.9714 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.97 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.9697 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9693 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.9692 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9686 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9686 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9667 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.9656 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.9624 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.9605 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9585 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9573 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9544 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.9538 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.9533 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9506 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.9423 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.9313 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.9299 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9266 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9162 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.9152 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.9115 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.907 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.9063 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.9058 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.9045 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.901 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.8973 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.8923 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.8893 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.8873 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.8871 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.8837 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.8719 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.8648 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.852 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.851 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=700 | +| 0.9768 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9766 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9766 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9763 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9762 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9762 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9762 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9759 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9759 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9757 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9755 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9754 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9752 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9751 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9746 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9744 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9744 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9743 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9743 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9743 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9741 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9739 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9737 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9735 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9734 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.9734 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9734 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9734 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9733 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.973 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9726 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9726 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9725 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9721 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.972 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9716 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9713 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9712 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.971 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9709 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9709 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9707 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9704 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9702 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.9696 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9694 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9691 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9684 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.9663 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.9661 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9652 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9647 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.9646 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.9645 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.9633 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9621 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.9617 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.9614 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.9611 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.9602 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.958 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.9569 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.9555 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.9545 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.9514 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.9512 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.9465 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.9419 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.9281 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.92 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9612 | penalty="l1", C=1 | -| 0.9378 | penalty="l1", C=0.1 | -| 0.9256 | penalty="l1", C=10 | -| 0.7532 | penalty="l2", C=10 | -| 0.7464 | penalty="l2", C=0.1 | -| 0.7375 | penalty="l2", C=1 | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9118 | | +| 0.8621 | penalty="l2", C=0.1 | +| 0.8579 | penalty="l2", C=10 | +| 0.837 | penalty="l2", C=1 | -## GaussianNB -| roc_auc.labels.true | params | -|| +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9789 | learning_rate=0.01, max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9788 | learning_rate=0.1, max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9787 | learning_rate=0.1, max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9787 | learning_rate=0.1, max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.9786 | learning_rate=0.01, max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9785 | learning_rate=0.01, max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9785 | learning_rate=0.01, max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9785 | learning_rate=0.1, max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9784 | learning_rate=0.01, max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9784 | learning_rate=0.1, max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9784 | learning_rate=0.01, max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9783 | learning_rate=0.1, max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9783 | learning_rate=0.01, max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9782 | learning_rate=0.1, max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9782 | learning_rate=0.01, max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9782 | learning_rate=0.1, max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9782 | learning_rate=0.01, max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9781 | learning_rate=0.01, max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9781 | learning_rate=0.01, max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9781 | learning_rate=0.01, max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9781 | learning_rate=0.01, max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.978 | learning_rate=0.01, max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.978 | learning_rate=0.01, max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9779 | learning_rate=0.01, max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9779 | learning_rate=0.01, max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9779 | learning_rate=0.1, max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9779 | learning_rate=0.01, max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9779 | learning_rate=0.1, max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9778 | learning_rate=0.1, max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.9778 | learning_rate=0.01, max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9778 | learning_rate=0.01, max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9777 | learning_rate=0.1, max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9777 | learning_rate=0.01, max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9777 | learning_rate=0.01, max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9777 | learning_rate=0.01, max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9777 | learning_rate=0.1, max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9777 | learning_rate=0.5, max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9777 | learning_rate=0.01, max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9777 | learning_rate=0.1, max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9776 | learning_rate=0.01, max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9776 | learning_rate=0.1, max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9776 | learning_rate=0.01, max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9776 | learning_rate=0.1, max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9776 | learning_rate=0.1, max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9776 | learning_rate=0.1, max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9775 | learning_rate=0.1, max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9775 | learning_rate=0.1, max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9775 | learning_rate=0.5, max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9775 | learning_rate=0.1, max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9775 | learning_rate=0.1, max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9775 | learning_rate=0.5, max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9774 | learning_rate=0.01, max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9774 | learning_rate=0.01, max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9774 | learning_rate=0.01, max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9773 | learning_rate=0.01, max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9772 | learning_rate=0.01, max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9772 | learning_rate=0.1, max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9772 | learning_rate=0.1, max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9772 | learning_rate=0.5, max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9771 | learning_rate=0.1, max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9771 | learning_rate=0.01, max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9771 | learning_rate=0.1, max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9771 | learning_rate=0.1, max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9771 | learning_rate=0.01, max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9771 | learning_rate=0.1, max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.977 | learning_rate=0.01, max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.977 | learning_rate=0.01, max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9769 | learning_rate=0.1, max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9769 | learning_rate=0.01, max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9769 | learning_rate=0.01, max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9769 | learning_rate=0.1, max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9769 | learning_rate=0.01, max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.9768 | learning_rate=0.1, max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9768 | learning_rate=0.01, max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9767 | learning_rate=0.1, max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9767 | learning_rate=0.01, max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9767 | learning_rate=0.1, max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9767 | learning_rate=0.5, max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9767 | learning_rate=0.01, max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9767 | learning_rate=0.5, max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9766 | learning_rate=0.5, max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9764 | learning_rate=0.1, max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9763 | learning_rate=0.1, max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9763 | learning_rate=0.5, max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9761 | learning_rate=0.01, max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9761 | learning_rate=0.5, max_depth=1, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.976 | learning_rate=0.5, max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.976 | learning_rate=0.5, max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.976 | learning_rate=0.5, max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9759 | learning_rate=0.01, max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9759 | learning_rate=1, max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9759 | learning_rate=0.01, max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9759 | learning_rate=0.01, max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9759 | learning_rate=0.5, max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9759 | learning_rate=0.1, max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9757 | learning_rate=0.01, max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9756 | learning_rate=0.01, max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9754 | learning_rate=0.01, max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9754 | learning_rate=0.01, max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9754 | learning_rate=0.01, max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.9754 | learning_rate=0.1, max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9754 | learning_rate=0.01, max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9753 | learning_rate=0.5, max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9752 | learning_rate=0.5, max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9752 | learning_rate=0.1, max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9751 | learning_rate=0.01, max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9751 | learning_rate=0.01, max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.975 | learning_rate=0.01, max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.975 | learning_rate=0.1, max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.975 | learning_rate=0.1, max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9749 | learning_rate=0.1, max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.9749 | learning_rate=0.1, max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9747 | learning_rate=0.1, max_depth=1, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9747 | learning_rate=0.5, max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9747 | learning_rate=0.01, max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9746 | learning_rate=0.1, max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9746 | learning_rate=0.01, max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9746 | learning_rate=0.5, max_depth=1, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9745 | learning_rate=0.5, max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9745 | learning_rate=0.1, max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9745 | learning_rate=0.1, max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9743 | learning_rate=0.01, max_depth=1, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9743 | learning_rate=0.01, max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9743 | learning_rate=0.01, max_depth=1, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9742 | learning_rate=0.01, max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9741 | learning_rate=0.1, max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9739 | learning_rate=0.1, max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9738 | learning_rate=0.5, max_depth=1, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9734 | learning_rate=0.1, max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9733 | learning_rate=0.1, max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9733 | learning_rate=1, max_depth=1, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9732 | learning_rate=1, max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9731 | learning_rate=0.5, max_depth=1, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9731 | learning_rate=0.1, max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9729 | learning_rate=0.01, max_depth=1, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9729 | learning_rate=0.1, max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9729 | learning_rate=0.01, max_depth=1, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9728 | learning_rate=1, max_depth=1, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9727 | learning_rate=0.1, max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9727 | learning_rate=0.5, max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9726 | learning_rate=1, max_depth=1, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9725 | learning_rate=0.1, max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9724 | learning_rate=0.01, max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9722 | learning_rate=1, max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9721 | learning_rate=0.01, max_depth=1, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9721 | learning_rate=1, max_depth=1, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9721 | learning_rate=1, max_depth=1, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.972 | learning_rate=0.01, max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.972 | learning_rate=0.1, max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9717 | learning_rate=0.01, max_depth=1, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9717 | learning_rate=1, max_depth=1, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9717 | learning_rate=1, max_depth=1, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9716 | learning_rate=0.01, max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9716 | learning_rate=0.01, max_depth=3, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9715 | learning_rate=1, max_depth=1, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9714 | learning_rate=0.01, max_depth=3, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.971 | learning_rate=0.01, max_depth=3, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.9703 | learning_rate=0.5, max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 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max_features="log2" | +| 0.9514 | learning_rate=0.01, max_depth=1, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9493 | learning_rate=0.5, max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9489 | learning_rate=0.5, max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9462 | learning_rate=0.5, max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9449 | learning_rate=1, max_depth=3, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9393 | learning_rate=0.5, max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9393 | learning_rate=0.1, max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.938 | learning_rate=1, max_depth=3, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9379 | learning_rate=0.5, max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9371 | learning_rate=0.5, max_depth=3, 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0.9325 | learning_rate=0.1, max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9321 | learning_rate=0.1, max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9309 | learning_rate=0.5, max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.9307 | learning_rate=0.1, max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.929 | learning_rate=0.1, max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.928 | learning_rate=0.5, max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.928 | learning_rate=0.1, max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9275 | learning_rate=0.1, max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9271 | learning_rate=1, max_depth=3, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9258 | learning_rate=0.5, max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9256 | learning_rate=0.5, max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.9245 | learning_rate=0.5, max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9243 | learning_rate=0.5, max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.9224 | learning_rate=0.5, max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.9206 | learning_rate=0.5, max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9206 | learning_rate=1, max_depth=3, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9184 | learning_rate=0.5, max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9182 | learning_rate=1, max_depth=3, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.9177 | learning_rate=0.5, max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9176 | learning_rate=0.5, max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.9172 | learning_rate=1, max_depth=5, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.917 | learning_rate=0.5, max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9161 | learning_rate=0.5, max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9158 | learning_rate=0.5, max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.9155 | learning_rate=0.5, max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9149 | learning_rate=1, max_depth=3, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.9137 | learning_rate=0.5, max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.9136 | learning_rate=0.5, max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.9121 | learning_rate=0.5, max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.9096 | learning_rate=0.5, max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9096 | learning_rate=0.5, max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.909 | learning_rate=0.5, max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.9089 | learning_rate=0.5, max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.9084 | learning_rate=0.5, max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.9083 | learning_rate=0.5, max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.9079 | learning_rate=0.5, max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.9077 | learning_rate=0.5, max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.9065 | learning_rate=0.5, max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.9064 | learning_rate=0.5, max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9057 | learning_rate=1, max_depth=5, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.905 | learning_rate=0.5, max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.9041 | learning_rate=1, max_depth=5, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.904 | learning_rate=0.5, max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.9034 | learning_rate=0.5, max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.8995 | learning_rate=1, max_depth=3, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.8995 | learning_rate=1, max_depth=3, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.8993 | learning_rate=1, max_depth=7, min_samples_leaf=7, n_estimators=100, max_features="log2" | +| 0.8984 | learning_rate=0.5, max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.8982 | learning_rate=0.5, max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.897 | learning_rate=1, max_depth=3, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.8954 | learning_rate=1, max_depth=7, min_samples_leaf=1, n_estimators=100, max_features="log2" | +| 0.893 | learning_rate=0.5, max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.8919 | learning_rate=1, max_depth=3, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.8885 | learning_rate=1, max_depth=3, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.8867 | learning_rate=1, max_depth=5, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.8822 | learning_rate=1, max_depth=5, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.8806 | learning_rate=1, max_depth=7, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.8806 | learning_rate=1, max_depth=5, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.8801 | learning_rate=1, max_depth=7, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.8791 | learning_rate=1, max_depth=7, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.8781 | learning_rate=1, max_depth=7, min_samples_leaf=3, n_estimators=100, max_features="log2" | +| 0.8726 | learning_rate=1, max_depth=5, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.8725 | learning_rate=1, max_depth=7, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.8698 | learning_rate=1, max_depth=7, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.8665 | learning_rate=1, max_depth=5, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.8649 | learning_rate=1, max_depth=3, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.8613 | learning_rate=1, max_depth=7, min_samples_leaf=13, n_estimators=100, max_features="log2" | +| 0.8604 | learning_rate=1, max_depth=7, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.8596 | learning_rate=1, max_depth=7, min_samples_leaf=5, n_estimators=100, max_features="log2" | +| 0.8568 | learning_rate=1, max_depth=5, min_samples_leaf=1, n_estimators=700, max_features="log2" | +| 0.8537 | learning_rate=1, max_depth=7, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.853 | learning_rate=1, max_depth=5, min_samples_leaf=3, n_estimators=300, max_features="log2" | +| 0.8492 | learning_rate=1, max_depth=3, min_samples_leaf=13, n_estimators=700, max_features="log2" | +| 0.847 | learning_rate=1, max_depth=3, min_samples_leaf=1, n_estimators=500, max_features="log2" | +| 0.838 | learning_rate=1, max_depth=7, min_samples_leaf=5, n_estimators=500, max_features="log2" | +| 0.8358 | learning_rate=1, max_depth=5, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.8354 | learning_rate=1, max_depth=7, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.8324 | learning_rate=1, max_depth=5, min_samples_leaf=1, n_estimators=300, max_features="log2" | +| 0.8307 | learning_rate=1, max_depth=5, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.8274 | learning_rate=1, max_depth=7, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.822 | learning_rate=1, max_depth=7, min_samples_leaf=3, n_estimators=700, max_features="log2" | +| 0.8184 | learning_rate=1, max_depth=7, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.8153 | learning_rate=1, max_depth=5, min_samples_leaf=3, n_estimators=500, max_features="log2" | +| 0.8148 | learning_rate=1, max_depth=3, min_samples_leaf=5, n_estimators=700, max_features="log2" | +| 0.8147 | learning_rate=1, max_depth=7, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.7951 | learning_rate=1, max_depth=5, min_samples_leaf=5, n_estimators=300, max_features="log2" | +| 0.7922 | learning_rate=1, max_depth=5, min_samples_leaf=7, n_estimators=300, max_features="log2" | +| 0.7861 | learning_rate=1, max_depth=3, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.7857 | learning_rate=1, max_depth=7, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.7817 | learning_rate=1, max_depth=5, min_samples_leaf=13, n_estimators=300, max_features="log2" | +| 0.775 | learning_rate=1, max_depth=5, min_samples_leaf=13, n_estimators=500, max_features="log2" | +| 0.7387 | learning_rate=1, max_depth=3, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.7109 | learning_rate=1, max_depth=5, min_samples_leaf=7, n_estimators=500, max_features="log2" | +| 0.6847 | learning_rate=1, max_depth=7, min_samples_leaf=7, n_estimators=700, max_features="log2" | +| 0.6847 | learning_rate=1, max_depth=5, min_samples_leaf=7, n_estimators=700, max_features="log2" | diff --git a/tuning_reports/lvwiki.goodfaith.md b/tuning_reports/lvwiki.goodfaith.md index 6c76424e..139c1a46 100644 --- a/tuning_reports/lvwiki.goodfaith.md +++ b/tuning_reports/lvwiki.goodfaith.md @@ -1,185 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.lvwiki.goodfaith -- Date: 2018-03-27T19:41:44.787430 -- Observations: 20060 +- Date: 2021-02-12T07:35:42.353442 +- Observations: 19836 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:----------------------------------------------------------------------| -| GradientBoosting | 0.9931 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=7 | -| GradientBoosting | 0.9931 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=7 | -| GradientBoosting | 0.993 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=7 | -| GradientBoosting | 0.9929 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=5 | -| GradientBoosting | 0.9929 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=7 | -| GradientBoosting | 0.9927 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=7 | -| GradientBoosting | 0.9926 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=5 | -| GradientBoosting | 0.9926 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=7 | -| GradientBoosting | 0.9924 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=5 | -| GradientBoosting | 0.9923 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=5 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9863 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| GradientBoosting | 0.9862 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| GradientBoosting | 0.9862 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| GradientBoosting | 0.9861 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| GradientBoosting | 0.986 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| GradientBoosting | 0.986 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| GradientBoosting | 0.986 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| GradientBoosting | 0.986 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| GradientBoosting | 0.9859 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| GradientBoosting | 0.9857 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | # Models -## GaussianNB -| roc_auc.labels.true | params | -|| - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9884 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=7 | -| 0.9878 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | -| 0.9872 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | -| 0.9872 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | -| 0.9871 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=13 | -| 0.9871 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | -| 0.9871 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | -| 0.9871 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | -| 0.9868 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | -| 0.9866 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | -| 0.9864 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | -| 0.9864 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | -| 0.9863 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | -| 0.9861 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | -| 0.9861 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | -| 0.9861 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | -| 0.9861 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=7 | -| 0.986 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | -| 0.9859 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=13 | -| 0.9859 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | -| 0.9858 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | -| 0.9857 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | -| 0.9856 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | -| 0.9855 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | -| 0.9853 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | -| 0.9852 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | -| 0.9852 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | -| 0.9851 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | -| 0.985 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | -| 0.985 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | -| 0.9849 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | -| 0.9849 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | -| 0.9848 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | -| 0.9848 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | -| 0.9847 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | -| 0.9847 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | -| 0.9842 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | -| 0.9841 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | -| 0.9841 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | -| 0.9841 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | -| 0.9839 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | -| 0.9839 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=5 | -| 0.9839 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | -| 0.9836 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | -| 0.9835 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | -| 0.9835 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | -| 0.9833 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | -| 0.9833 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | -| 0.9831 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | -| 0.9831 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | -| 0.9827 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | -| 0.9826 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | -| 0.9823 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | -| 0.9823 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | -| 0.9822 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | -| 0.9821 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | -| 0.9821 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | -| 0.9819 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | -| 0.9818 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | -| 0.9817 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | -| 0.9817 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | -| 0.9815 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=3 | -| 0.9814 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | -| 0.9812 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=1 | -| 0.981 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | -| 0.9809 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | -| 0.9802 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | -| 0.9802 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | -| 0.9795 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | -| 0.9795 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | - ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9931 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=7 | -| 0.9931 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=7 | -| 0.993 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=7 | -| 0.9929 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=5 | -| 0.9929 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=7 | -| 0.9927 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=7 | -| 0.9926 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=5 | -| 0.9926 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=7 | -| 0.9924 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=5 | -| 0.9923 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=5 | -| 0.9922 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=7 | -| 0.9921 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=7 | -| 0.9919 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=7 | -| 0.9919 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=3 | -| 0.9918 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=3 | -| 0.9915 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=5 | -| 0.9914 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=3 | -| 0.9913 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=7 | -| 0.9913 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=5 | -| 0.9911 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=5 | -| 0.9909 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=7 | -| 0.9892 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=5 | -| 0.9882 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=5 | -| 0.9882 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=3 | -| 0.9877 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=5 | -| 0.9876 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=3 | -| 0.9875 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=3 | -| 0.987 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=7 | -| 0.9869 | max_features="log2", learning_rate=0.5, n_estimators=700, max_depth=1 | -| 0.9868 | max_features="log2", learning_rate=0.1, n_estimators=500, max_depth=1 | -| 0.9865 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=7 | -| 0.9858 | max_features="log2", learning_rate=0.5, n_estimators=500, max_depth=1 | -| 0.9856 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=5 | -| 0.9855 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=5 | -| 0.9853 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=5 | -| 0.9852 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=3 | -| 0.9852 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=3 | -| 0.9852 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=3 | -| 0.9851 | max_features="log2", learning_rate=0.5, n_estimators=300, max_depth=1 | -| 0.9849 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=7 | -| 0.9845 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=3 | -| 0.9845 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=1 | -| 0.9845 | max_features="log2", learning_rate=0.5, n_estimators=100, max_depth=1 | -| 0.9845 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=5 | -| 0.9843 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=3 | -| 0.9841 | max_features="log2", learning_rate=0.1, n_estimators=300, max_depth=1 | -| 0.9841 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=7 | -| 0.9833 | max_features="log2", learning_rate=1, n_estimators=500, max_depth=1 | -| 0.9833 | max_features="log2", learning_rate=0.1, n_estimators=700, max_depth=1 | -| 0.9833 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=3 | -| 0.9832 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=3 | -| 0.9832 | max_features="log2", learning_rate=1, n_estimators=300, max_depth=1 | -| 0.9826 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=5 | -| 0.9825 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=7 | -| 0.9819 | max_features="log2", learning_rate=1, n_estimators=100, max_depth=1 | -| 0.9815 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=1 | -| 0.981 | max_features="log2", learning_rate=0.1, n_estimators=100, max_depth=3 | -| 0.9806 | max_features="log2", learning_rate=0.01, n_estimators=700, max_depth=1 | -| 0.9802 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=3 | -| 0.9802 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=3 | -| 0.9796 | max_features="log2", learning_rate=0.01, n_estimators=500, max_depth=1 | -| 0.9746 | max_features="log2", learning_rate=0.01, n_estimators=300, max_depth=1 | -| 0.9671 | max_features="log2", learning_rate=0.01, n_estimators=100, max_depth=1 | -| 0.947 | max_features="log2", learning_rate=1, n_estimators=700, max_depth=5 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9863 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9862 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9862 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9861 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.986 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.986 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.986 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.986 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9859 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9857 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9856 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9855 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9855 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9855 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9855 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9854 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9854 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9854 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9854 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9854 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9854 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9854 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9853 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9853 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9852 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9852 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9852 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9851 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9851 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.985 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.985 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.985 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9849 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9848 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9848 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9848 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9848 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9848 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9847 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9847 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9847 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9847 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9846 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9846 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9846 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9846 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9845 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9845 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9845 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9845 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9845 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9845 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9844 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9844 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9844 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9843 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9843 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9843 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9843 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9842 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9842 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9841 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9841 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9841 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9841 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9841 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.984 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.984 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9839 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9839 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9839 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9838 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9837 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9837 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9836 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9836 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9836 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9835 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9835 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9835 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9835 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9835 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9835 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9834 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9832 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9832 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9832 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9831 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9831 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9831 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9831 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9831 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.983 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.983 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.983 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.983 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9829 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9829 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9827 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9827 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9825 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9825 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9824 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9824 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9824 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9823 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9823 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9823 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9823 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9822 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9822 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9821 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9821 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9821 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.982 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.982 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9819 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9819 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9819 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9818 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9817 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9816 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9815 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9815 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9815 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9814 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9814 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9814 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9814 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9814 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9813 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9812 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9808 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9807 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9804 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9804 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9803 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.98 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9799 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9795 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9792 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9791 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.979 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9789 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9789 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9786 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9785 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9783 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9783 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9782 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9782 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9779 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9779 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9772 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.977 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9767 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9764 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9764 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9764 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9761 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9761 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9759 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9749 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9744 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9742 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9737 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9737 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9734 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9734 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9731 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.973 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9727 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9723 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9718 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.971 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9707 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9706 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9703 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9696 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9683 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9683 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.968 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9669 | max_depth=1, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9662 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9658 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9657 | max_depth=1, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9648 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9646 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9639 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9636 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9635 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9626 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.962 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9619 | max_depth=1, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9615 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9612 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9612 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9609 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9609 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9604 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.96 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9599 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9586 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9574 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.957 | max_depth=1, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9568 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9557 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9555 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9555 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9543 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.954 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9533 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9533 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9532 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9532 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9528 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9523 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9512 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.951 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9509 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9508 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9502 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9501 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9494 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9493 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9486 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9476 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9474 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9474 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9474 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9473 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9471 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.947 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9469 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9468 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9456 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9453 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9441 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9441 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.944 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.944 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9439 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9439 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9437 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9436 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9433 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9431 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9427 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9427 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9416 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9414 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9413 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.941 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9407 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9403 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9396 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9395 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9394 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9391 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9385 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9383 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9382 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.936 | max_depth=3, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9348 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9323 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.932 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9292 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9247 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9244 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9243 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9233 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9219 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9215 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.915 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.913 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9129 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9129 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9071 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9067 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9058 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9051 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9023 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9018 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9009 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9005 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8981 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8953 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8909 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.8893 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.8873 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.8819 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.88 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.8667 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.8625 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.8523 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8457 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.8442 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8439 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8437 | max_depth=5, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8367 | max_depth=7, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8354 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.833 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8217 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8215 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8198 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8158 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.8155 | max_depth=7, n_estimators=700, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8149 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.814 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8124 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8115 | max_depth=7, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.804 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.7991 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7974 | max_depth=7, n_estimators=100, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7882 | max_depth=3, n_estimators=300, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.787 | max_depth=3, n_estimators=500, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7687 | max_depth=5, n_estimators=700, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7673 | max_depth=5, n_estimators=300, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7655 | max_depth=5, n_estimators=500, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7339 | max_depth=3, n_estimators=700, max_features="log2", min_samples_leaf=7, learning_rate=1 | ## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9623 | penalty="l1", C=1 | -| 0.9406 | penalty="l1", C=10 | -| 0.9351 | penalty="l1", C=0.1 | -| 0.7684 | penalty="l2", C=10 | -| 0.7623 | penalty="l2", C=1 | -| 0.735 | penalty="l2", C=0.1 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8571 | C=1, penalty="l2" | +| 0.8528 | C=0.1, penalty="l2" | +| 0.8515 | C=10, penalty="l2" | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9639 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9634 | | + +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9851 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.985 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9849 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9848 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9846 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9842 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.984 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9839 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9839 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9837 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9837 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9836 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9836 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9835 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9832 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9831 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.983 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.983 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9826 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9824 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9823 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9822 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9822 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9821 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9821 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.982 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9818 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9814 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9814 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9813 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9812 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9812 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9811 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.981 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9809 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9806 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9805 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9801 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9799 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9797 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9795 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9791 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9789 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9788 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9783 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9783 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9772 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9767 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9764 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9763 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9758 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9756 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.975 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9746 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9746 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9738 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9736 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9731 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9731 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9722 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9708 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9695 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9679 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9678 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9668 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9653 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9641 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9587 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9441 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9394 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="entropy" | + +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9474 | | diff --git a/tuning_reports/nlwiki.damaging.md b/tuning_reports/nlwiki.damaging.md index fe15a492..70b5aacb 100644 --- a/tuning_reports/nlwiki.damaging.md +++ b/tuning_reports/nlwiki.damaging.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.nlwiki.damaging -- Date: 2019-05-28T21:37:25.408542 -- Observations: 18430 +- Date: 2021-02-12T08:00:44.743751 +- Observations: 18316 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9555 | max_depth=3, n_estimators=500, learning_rate=0.1, max_features="log2" | -| RandomForestClassifier | 0.9553 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| GradientBoosting | 0.9552 | max_depth=5, n_estimators=700, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9552 | max_depth=1, n_estimators=700, learning_rate=0.1, max_features="log2" | -| RandomForestClassifier | 0.9551 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| RandomForestClassifier | 0.955 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| RandomForestClassifier | 0.955 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| GradientBoosting | 0.9549 | max_depth=3, n_estimators=300, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9549 | max_depth=3, n_estimators=700, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9547 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9566 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| GradientBoosting | 0.9563 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| GradientBoosting | 0.9561 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.9561 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.956 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.956 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| GradientBoosting | 0.9559 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.9557 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| GradientBoosting | 0.9554 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| GradientBoosting | 0.9553 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | # Models +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9566 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9563 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9561 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9561 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.956 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.956 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9559 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9557 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9554 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9553 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9553 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9552 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9552 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.955 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.955 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.955 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9549 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9549 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9549 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9549 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9549 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9548 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9548 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9547 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9547 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9546 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9546 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9546 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9546 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9546 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9545 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9544 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9544 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9544 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9544 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9543 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9542 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9542 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9542 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9541 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9541 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.954 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9539 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9539 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9538 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9538 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9538 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9537 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9537 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9537 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9537 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9536 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9536 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9536 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9535 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9535 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9535 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9534 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9533 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9533 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9532 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9532 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9531 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.953 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.953 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.953 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.953 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.953 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9529 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9529 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9528 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9527 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9527 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9525 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9524 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9524 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9523 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9523 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9523 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9522 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9522 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9521 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9521 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.952 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.952 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9519 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9519 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9519 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9518 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9518 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9518 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9518 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9517 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9517 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9517 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9516 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9516 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9514 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9514 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9513 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.951 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9508 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9507 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9504 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9504 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9502 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9501 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9498 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9497 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9496 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9495 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9494 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9494 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9493 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9491 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9491 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9491 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.949 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9489 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9489 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9488 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9487 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9487 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9487 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9484 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9484 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9484 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9483 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9482 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9482 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9481 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.948 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.948 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.948 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9477 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9477 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9476 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9474 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9474 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9474 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9474 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9473 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9473 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9472 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9472 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9469 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9468 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9468 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9465 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9463 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9462 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9459 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9458 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9452 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9452 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9451 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9451 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.945 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.945 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9449 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9449 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9448 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9448 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9445 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9443 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.944 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9434 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9433 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9433 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9431 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.943 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.943 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.943 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9429 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9429 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9428 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9425 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9425 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9423 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9423 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9415 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.94 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9398 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9398 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9393 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9393 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9393 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9392 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.939 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.939 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9385 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9384 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9383 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9382 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9378 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9375 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9375 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9372 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9372 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9369 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9363 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9363 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9358 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9349 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9347 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9344 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9333 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9325 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9322 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.932 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9319 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9316 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9314 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9311 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9302 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9292 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9286 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9286 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9282 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9275 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9267 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9262 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9255 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9253 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9246 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9237 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9226 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9226 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9223 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9217 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9205 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9205 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9204 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9191 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.919 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9183 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9182 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9177 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9157 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9144 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9143 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9112 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9087 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9085 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9085 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.907 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9056 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9045 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.902 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9017 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9013 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9004 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9002 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8996 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8989 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8988 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8986 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8986 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8984 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8983 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8983 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8978 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8967 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8964 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8959 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8957 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8957 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8957 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8955 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8955 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8949 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8947 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8946 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8944 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8938 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8929 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8928 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8922 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.892 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8917 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8913 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8844 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8817 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8806 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8802 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8795 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8781 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8775 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.877 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8767 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8765 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8749 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8747 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8718 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8717 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8711 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.87 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8698 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8682 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8669 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.864 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.864 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8635 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8599 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8562 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8494 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8471 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8366 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.82 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8181 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8067 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.798 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7917 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.784 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7798 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7734 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7717 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.7479 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.717 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.6714 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.6575 | | + ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9553 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9551 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.955 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.955 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9547 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9544 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9544 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9544 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9541 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9541 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9541 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9541 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9536 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9533 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9533 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9533 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.953 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9525 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9523 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9523 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9522 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9522 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9521 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.952 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.952 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.952 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9518 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9518 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9518 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9517 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9515 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9513 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9511 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.951 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9508 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9507 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9504 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9503 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9501 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9499 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9493 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9492 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9492 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9489 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9489 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9485 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9484 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9477 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9476 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9469 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9466 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9465 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9462 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9443 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9435 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="entropy" | -| 0.9434 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="entropy" | -| 0.9427 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9425 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9417 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="gini" | -| 0.9399 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9395 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="gini" | -| 0.9387 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9357 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="gini" | -| 0.9349 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="entropy" | -| 0.9302 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="entropy" | -| 0.9291 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9267 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="gini" | -| 0.9186 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="gini" | -| 0.9073 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="entropy" | -| 0.9008 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9549 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="entropy" | +| 0.9547 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="entropy" | +| 0.9541 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="entropy" | +| 0.9539 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="entropy" | +| 0.9538 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="entropy" | +| 0.9536 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="entropy" | +| 0.9536 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="entropy" | +| 0.9535 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="entropy" | +| 0.9535 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="entropy" | +| 0.9535 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="entropy" | +| 0.9535 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="entropy" | +| 0.9533 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="entropy" | +| 0.9525 | max_features="log2", min_samples_leaf=13, n_estimators=320, criterion="gini" | +| 0.9523 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="entropy" | +| 0.9523 | max_features="log2", min_samples_leaf=7, n_estimators=160, criterion="gini" | +| 0.9523 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="entropy" | +| 0.9523 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="entropy" | +| 0.9521 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="entropy" | +| 0.9521 | max_features="log2", min_samples_leaf=3, n_estimators=640, criterion="gini" | +| 0.952 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="entropy" | +| 0.952 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="entropy" | +| 0.9519 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="entropy" | +| 0.9518 | max_features="log2", min_samples_leaf=7, n_estimators=640, criterion="gini" | +| 0.9518 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="entropy" | +| 0.9515 | max_features="log2", min_samples_leaf=7, n_estimators=320, criterion="gini" | +| 0.9515 | max_features="log2", min_samples_leaf=13, n_estimators=640, criterion="gini" | +| 0.9515 | max_features="log2", min_samples_leaf=13, n_estimators=160, criterion="gini" | +| 0.9514 | max_features="log2", min_samples_leaf=5, n_estimators=320, criterion="gini" | +| 0.9514 | max_features="log2", min_samples_leaf=3, n_estimators=320, criterion="gini" | +| 0.9513 | max_features="log2", min_samples_leaf=3, n_estimators=160, criterion="gini" | +| 0.9513 | max_features="log2", min_samples_leaf=7, n_estimators=80, criterion="gini" | +| 0.9512 | max_features="log2", min_samples_leaf=5, n_estimators=640, criterion="gini" | +| 0.9506 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="entropy" | +| 0.9501 | max_features="log2", min_samples_leaf=5, n_estimators=160, criterion="gini" | +| 0.9501 | max_features="log2", min_samples_leaf=13, n_estimators=80, criterion="gini" | +| 0.9497 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="gini" | +| 0.9497 | max_features="log2", min_samples_leaf=1, n_estimators=640, criterion="gini" | +| 0.9496 | max_features="log2", min_samples_leaf=5, n_estimators=40, criterion="entropy" | +| 0.9494 | max_features="log2", min_samples_leaf=1, n_estimators=320, criterion="gini" | +| 0.9494 | max_features="log2", min_samples_leaf=13, n_estimators=40, criterion="gini" | +| 0.949 | max_features="log2", min_samples_leaf=3, n_estimators=80, criterion="gini" | +| 0.9489 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="entropy" | +| 0.9489 | max_features="log2", min_samples_leaf=5, n_estimators=80, criterion="gini" | +| 0.9483 | max_features="log2", min_samples_leaf=7, n_estimators=40, criterion="gini" | +| 0.9471 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="entropy" | +| 0.947 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="entropy" | +| 0.9466 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="gini" | +| 0.9466 | max_features="log2", min_samples_leaf=7, n_estimators=20, criterion="gini" | +| 0.9459 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="entropy" | +| 0.9457 | max_features="log2", min_samples_leaf=3, n_estimators=40, criterion="gini" | +| 0.9454 | max_features="log2", min_samples_leaf=1, n_estimators=160, criterion="gini" | +| 0.9449 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="entropy" | +| 0.9449 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="gini" | +| 0.9449 | max_features="log2", min_samples_leaf=13, n_estimators=20, criterion="gini" | +| 0.9449 | max_features="log2", min_samples_leaf=5, n_estimators=20, criterion="entropy" | +| 0.9446 | max_features="log2", min_samples_leaf=1, n_estimators=80, criterion="gini" | +| 0.9429 | max_features="log2", min_samples_leaf=3, n_estimators=20, criterion="entropy" | +| 0.9406 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="gini" | +| 0.9396 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="entropy" | +| 0.9388 | max_features="log2", min_samples_leaf=7, n_estimators=10, criterion="gini" | +| 0.9386 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="entropy" | +| 0.9373 | max_features="log2", min_samples_leaf=5, n_estimators=10, criterion="entropy" | +| 0.9372 | max_features="log2", min_samples_leaf=13, n_estimators=10, criterion="gini" | +| 0.9356 | max_features="log2", min_samples_leaf=1, n_estimators=40, criterion="gini" | +| 0.9354 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="entropy" | +| 0.929 | max_features="log2", min_samples_leaf=3, n_estimators=10, criterion="gini" | +| 0.9277 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="entropy" | +| 0.9227 | max_features="log2", min_samples_leaf=1, n_estimators=20, criterion="gini" | +| 0.8988 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="gini" | +| 0.8982 | max_features="log2", min_samples_leaf=1, n_estimators=10, criterion="entropy" | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9288 | penalty="l1", C=0.1 | -| 0.9098 | penalty="l1", C=1 | -| 0.9018 | penalty="l1", C=10 | -| 0.7759 | penalty="l2", C=1 | -| 0.7706 | penalty="l2", C=0.1 | -| 0.6601 | penalty="l2", C=10 | - -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.718 | | +| 0.863 | penalty="l2", C=1 | +| 0.8615 | penalty="l2", C=0.1 | +| 0.8601 | penalty="l2", C=10 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8673 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9555 | max_depth=3, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9552 | max_depth=5, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9552 | max_depth=1, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9549 | max_depth=3, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9549 | max_depth=3, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9547 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9546 | max_depth=1, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9543 | max_depth=1, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9538 | max_depth=3, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9537 | max_depth=1, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9536 | max_depth=7, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9535 | max_depth=3, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9534 | max_depth=7, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9532 | max_depth=5, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.953 | max_depth=1, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9525 | max_depth=1, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9525 | max_depth=3, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9518 | max_depth=5, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9516 | max_depth=7, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9509 | max_depth=1, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9507 | max_depth=5, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9499 | max_depth=1, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9493 | max_depth=7, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9492 | max_depth=3, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9489 | max_depth=5, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9489 | max_depth=5, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9486 | max_depth=7, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9485 | max_depth=1, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9483 | max_depth=3, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.948 | max_depth=1, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9475 | max_depth=5, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.947 | max_depth=7, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.945 | max_depth=1, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.9438 | max_depth=1, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9434 | max_depth=1, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9427 | max_depth=3, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9413 | max_depth=3, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9403 | max_depth=7, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9392 | max_depth=3, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9383 | max_depth=1, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9382 | max_depth=5, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9361 | max_depth=3, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9286 | max_depth=3, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9273 | max_depth=7, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.927 | max_depth=1, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9269 | max_depth=5, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.9238 | max_depth=7, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9125 | max_depth=3, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9076 | max_depth=5, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9056 | max_depth=1, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9035 | max_depth=3, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.9031 | max_depth=7, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.9023 | max_depth=3, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.9021 | max_depth=7, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.8994 | max_depth=7, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.8956 | max_depth=5, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.8938 | max_depth=5, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.8886 | max_depth=5, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.8824 | max_depth=7, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.882 | max_depth=7, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.8802 | max_depth=5, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.8769 | max_depth=7, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.8767 | max_depth=5, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.8743 | max_depth=7, n_estimators=700, learning_rate=1, max_features="log2" | +| 0.8654 | | diff --git a/tuning_reports/nlwiki.goodfaith.md b/tuning_reports/nlwiki.goodfaith.md index dbfa6a45..0029539f 100644 --- a/tuning_reports/nlwiki.goodfaith.md +++ b/tuning_reports/nlwiki.goodfaith.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.nlwiki.goodfaith -- Date: 2019-05-29T15:29:04.346109 -- Observations: 18430 +- Date: 2021-02-12T08:27:06.092931 +- Observations: 18316 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9715 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=160 | -| RandomForestClassifier | 0.9707 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=640 | -| RandomForestClassifier | 0.9706 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=160 | -| RandomForestClassifier | 0.9705 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=320 | -| GradientBoosting | 0.9705 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | -| RandomForestClassifier | 0.9704 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=640 | -| RandomForestClassifier | 0.9704 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=640 | -| RandomForestClassifier | 0.9704 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=320 | -| RandomForestClassifier | 0.9703 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=160 | -| GradientBoosting | 0.9703 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| RandomForestClassifier | 0.9726 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=7 | +| RandomForestClassifier | 0.9724 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=3 | +| RandomForestClassifier | 0.9724 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | +| GradientBoosting | 0.9722 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=700, learning_rate=0.01 | +| RandomForestClassifier | 0.9721 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=3 | +| RandomForestClassifier | 0.9721 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=5 | +| RandomForestClassifier | 0.9718 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=13 | +| GradientBoosting | 0.9718 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=500, learning_rate=0.01 | +| GradientBoosting | 0.9717 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=100, learning_rate=0.1 | +| GradientBoosting | 0.9717 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=700, learning_rate=0.01 | # Models +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9722 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.9718 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.9717 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.9717 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.9717 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.9716 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.9716 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.9715 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.9715 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.9714 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.9714 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.9713 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.9713 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.9712 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.9712 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.9712 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.9711 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.9711 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.9711 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.9711 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.971 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.971 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.9709 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.9709 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.9708 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.9707 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.9707 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.9706 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.9706 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.9705 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.9705 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.9704 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.9704 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.9703 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.9703 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.9703 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.9702 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.9701 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.9701 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.9701 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.9701 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.9701 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.97 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.9699 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.9699 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.9699 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.9699 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.9699 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.9699 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.9698 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.9698 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.9698 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.9698 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.9697 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.9697 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.9696 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.9696 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.9696 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.9696 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.9695 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.9695 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.9695 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.9695 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.9695 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.9695 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.9695 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.9695 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.9694 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.9694 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.9693 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.9692 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.9692 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.9692 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.9691 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.9691 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.9691 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.9691 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.9691 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.9691 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.9691 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.969 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.9689 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.9689 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.9689 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.9689 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.9688 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.9688 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.9688 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.9688 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.9687 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.9687 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.9686 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.9686 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.9685 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.9685 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.9685 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.9685 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.9684 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.9683 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.9683 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.9683 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.9683 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.9682 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.9681 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.9681 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.9681 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.9681 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.968 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.9678 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.9677 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.9676 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.9673 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.9672 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.9671 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.9671 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.9671 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.967 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.9669 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.9669 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.9669 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=300, learning_rate=1 | +| 0.9669 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.9668 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.9668 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.9667 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.9666 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.9662 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.9662 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.9662 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.9662 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.9662 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.966 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.966 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.966 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.9658 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.9658 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=100, learning_rate=1 | +| 0.9658 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=500, learning_rate=1 | +| 0.9658 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.9655 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=100, learning_rate=1 | +| 0.9648 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=300, learning_rate=1 | +| 0.9648 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=100, learning_rate=1 | +| 0.9646 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.9645 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=500, learning_rate=1 | +| 0.9643 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=700, learning_rate=1 | +| 0.9642 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=100, learning_rate=1 | +| 0.9641 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.9641 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.964 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.964 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=500, learning_rate=1 | +| 0.9638 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=700, learning_rate=1 | +| 0.9637 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.9637 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.9636 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.9635 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.9635 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=300, learning_rate=1 | +| 0.9635 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=300, learning_rate=1 | +| 0.9631 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.9631 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.963 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.9628 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=500, learning_rate=1 | +| 0.9627 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.9625 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=100, learning_rate=1 | +| 0.9625 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.9623 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.9621 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.9621 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.9621 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.962 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.9619 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.9615 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.9615 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.9612 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.9612 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=700, learning_rate=1 | +| 0.9611 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.9611 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=700, learning_rate=1 | +| 0.9609 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.9609 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.9609 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.9606 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.9606 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.9604 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.9602 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.9601 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=700, learning_rate=1 | +| 0.9597 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=300, learning_rate=1 | +| 0.9592 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.959 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.9579 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.9578 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.9575 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.9575 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.9573 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.9573 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.9568 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.9568 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.9556 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.9546 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.9521 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.952 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.9513 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.9506 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.9506 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.9503 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=500, learning_rate=1 | +| 0.9498 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.9496 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=100, learning_rate=1 | +| 0.9493 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.9488 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.948 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.9472 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.9457 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=100, learning_rate=1 | +| 0.9456 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.9455 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.945 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.9448 | max_features="log2", min_samples_leaf=7, max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.9447 | max_features="log2", min_samples_leaf=5, max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.9446 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.944 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=100, learning_rate=1 | +| 0.9435 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.9418 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.9412 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=100, learning_rate=1 | +| 0.941 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=100, learning_rate=1 | +| 0.9399 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.9397 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.9386 | max_features="log2", min_samples_leaf=13, max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.9368 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.9363 | max_features="log2", min_samples_leaf=1, max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.9363 | max_features="log2", min_samples_leaf=3, max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.9352 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.9351 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.9348 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.9342 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.9313 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.9297 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.9291 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.9288 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.928 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.9254 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.9251 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.9238 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.9236 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.9235 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.9223 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.9221 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.9217 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.9214 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.9205 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.9205 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.9201 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.9199 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.9198 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.9198 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.9192 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.9183 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.918 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=300, learning_rate=1 | +| 0.9179 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.9169 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.9165 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.9165 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.916 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.9158 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.9153 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.915 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.9149 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.9146 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.9145 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.9137 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.9132 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.912 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.9115 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=100, learning_rate=1 | +| 0.9078 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=100, learning_rate=1 | +| 0.9037 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=100, learning_rate=1 | +| 0.8989 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=100, learning_rate=1 | +| 0.8971 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=700, learning_rate=1 | +| 0.8963 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=300, learning_rate=1 | +| 0.8959 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=300, learning_rate=1 | +| 0.8947 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=300, learning_rate=1 | +| 0.8943 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=700, learning_rate=1 | +| 0.8938 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=100, learning_rate=1 | +| 0.8935 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=700, learning_rate=1 | +| 0.8933 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=100, learning_rate=1 | +| 0.8923 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=700, learning_rate=1 | +| 0.8896 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=700, learning_rate=1 | +| 0.8877 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=700, learning_rate=1 | +| 0.8875 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=700, learning_rate=1 | +| 0.8874 | max_features="log2", min_samples_leaf=1, max_depth=3, n_estimators=500, learning_rate=1 | +| 0.8859 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=700, learning_rate=1 | +| 0.8854 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=100, learning_rate=1 | +| 0.8827 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=300, learning_rate=1 | +| 0.8822 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=500, learning_rate=1 | +| 0.8815 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=500, learning_rate=1 | +| 0.8784 | max_features="log2", min_samples_leaf=1, max_depth=7, n_estimators=500, learning_rate=1 | +| 0.8758 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=100, learning_rate=1 | +| 0.8755 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=300, learning_rate=1 | +| 0.8727 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=700, learning_rate=1 | +| 0.8715 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=700, learning_rate=1 | +| 0.871 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=300, learning_rate=1 | +| 0.8699 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=500, learning_rate=1 | +| 0.8678 | max_features="log2", min_samples_leaf=13, max_depth=7, n_estimators=500, learning_rate=1 | +| 0.8566 | max_features="log2", min_samples_leaf=3, max_depth=5, n_estimators=500, learning_rate=1 | +| 0.8556 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=300, learning_rate=1 | +| 0.8482 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=500, learning_rate=1 | +| 0.8446 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=700, learning_rate=1 | +| 0.8444 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=500, learning_rate=1 | +| 0.8429 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=300, learning_rate=1 | +| 0.8399 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=300, learning_rate=1 | +| 0.8295 | max_features="log2", min_samples_leaf=3, max_depth=7, n_estimators=300, learning_rate=1 | +| 0.8284 | max_features="log2", min_samples_leaf=5, max_depth=7, n_estimators=100, learning_rate=1 | +| 0.8227 | max_features="log2", min_samples_leaf=7, max_depth=5, n_estimators=500, learning_rate=1 | +| 0.8169 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=500, learning_rate=1 | +| 0.8148 | max_features="log2", min_samples_leaf=1, max_depth=5, n_estimators=300, learning_rate=1 | +| 0.8111 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=500, learning_rate=1 | +| 0.81 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=700, learning_rate=1 | +| 0.8082 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=300, learning_rate=1 | +| 0.7813 | max_features="log2", min_samples_leaf=7, max_depth=7, n_estimators=100, learning_rate=1 | +| 0.774 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=500, learning_rate=1 | +| 0.7733 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=500, learning_rate=1 | +| 0.7698 | max_features="log2", min_samples_leaf=13, max_depth=3, n_estimators=700, learning_rate=1 | +| 0.7592 | max_features="log2", min_samples_leaf=3, max_depth=3, n_estimators=300, learning_rate=1 | +| 0.7569 | max_features="log2", min_samples_leaf=7, max_depth=3, n_estimators=700, learning_rate=1 | +| 0.7548 | max_features="log2", min_samples_leaf=13, max_depth=5, n_estimators=300, learning_rate=1 | +| 0.7532 | max_features="log2", min_samples_leaf=5, max_depth=3, n_estimators=700, learning_rate=1 | +| 0.75 | max_features="log2", min_samples_leaf=5, max_depth=5, n_estimators=500, learning_rate=1 | + ## BernoulliNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.9104 | | +| 0.9101 | | -## LogisticRegression -| roc_auc.labels.false | params | -|-----------------------:|:--------------------| -| 0.9361 | C=0.1, penalty="l1" | -| 0.9186 | C=10, penalty="l1" | -| 0.9145 | C=1, penalty="l1" | -| 0.7874 | C=0.1, penalty="l2" | -| 0.7567 | C=1, penalty="l2" | -| 0.6975 | C=10, penalty="l2" | +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9726 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=7 | +| 0.9724 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=3 | +| 0.9724 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | +| 0.9721 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=3 | +| 0.9721 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=5 | +| 0.9718 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=13 | +| 0.9716 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=1 | +| 0.9716 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=5 | +| 0.9714 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=13 | +| 0.9713 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=7 | +| 0.971 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=13 | +| 0.9708 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=3 | +| 0.9707 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=5 | +| 0.9707 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=13 | +| 0.9706 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=1 | +| 0.9705 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=3 | +| 0.9704 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=7 | +| 0.9704 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=7 | +| 0.9702 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=13 | +| 0.9701 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=3 | +| 0.97 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=5 | +| 0.97 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=5 | +| 0.9699 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=5 | +| 0.9698 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=7 | +| 0.9696 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=7 | +| 0.9694 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=1 | +| 0.9694 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=3 | +| 0.9691 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=5 | +| 0.969 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=7 | +| 0.969 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=13 | +| 0.9689 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=3 | +| 0.9689 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=13 | +| 0.9689 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=3 | +| 0.9688 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=13 | +| 0.9688 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=1 | +| 0.9687 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=5 | +| 0.9686 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=13 | +| 0.9685 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=13 | +| 0.9684 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=7 | +| 0.9681 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=7 | +| 0.9678 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=5 | +| 0.9674 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=1 | +| 0.9672 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=5 | +| 0.9668 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=13 | +| 0.9667 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=1 | +| 0.9662 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=3 | +| 0.9659 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=3 | +| 0.9658 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=1 | +| 0.9658 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=13 | +| 0.9658 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=7 | +| 0.9648 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=5 | +| 0.964 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=7 | +| 0.9637 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=1 | +| 0.9631 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=5 | +| 0.9622 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=3 | +| 0.9616 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=5 | +| 0.9605 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=13 | +| 0.9598 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=3 | +| 0.9598 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=1 | +| 0.9578 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=13 | +| 0.9567 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=7 | +| 0.9563 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=5 | +| 0.9555 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=7 | +| 0.9549 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=3 | +| 0.9542 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=1 | +| 0.9535 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=3 | +| 0.9409 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=1 | +| 0.9394 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=1 | +| 0.9208 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=1 | +| 0.9098 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=1 | ## GaussianNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.6375 | | +| 0.6736 | | -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:-----------------------------------------------------------------------| -| 0.9705 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9703 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9698 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9697 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9693 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9693 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9692 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9692 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9692 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9691 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9687 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9686 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9685 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9685 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9684 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9683 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9682 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9679 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9678 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9675 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9675 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9671 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9668 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9666 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9655 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9649 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9648 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9639 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9632 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.963 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9622 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9619 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9613 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9612 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9612 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9594 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9584 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9581 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9556 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9526 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9523 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9505 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | -| 0.9394 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9382 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9368 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9319 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.927 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.926 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | -| 0.9237 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.919 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9188 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9179 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9167 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | -| 0.9164 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9157 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.8924 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | -| 0.8917 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | -| 0.8915 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | -| 0.889 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | -| 0.8875 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | -| 0.8805 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | -| 0.8738 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | -| 0.8525 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | -| 0.7678 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | - -## RandomForestClassifier -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------| -| 0.9715 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9707 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9706 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9705 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9704 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9704 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9704 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9703 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9703 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.9702 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9701 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=640 | -| 0.97 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9697 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9697 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9696 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9695 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9694 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9693 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9692 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9689 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9689 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9688 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9687 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9687 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9685 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9685 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9684 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=640 | -| 0.9682 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9682 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9682 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9681 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.968 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9678 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9676 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9674 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9674 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9674 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9672 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9672 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9664 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9659 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9656 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9655 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9655 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9651 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9645 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9643 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9641 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9638 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9633 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9632 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9631 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.963 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9626 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9626 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9626 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9624 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9602 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9601 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.96 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9552 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9551 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9551 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9514 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9511 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9454 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=20 | -| 0.944 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9386 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9155 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9097 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=10 | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8739 | penalty="l2", C=1 | +| 0.8661 | penalty="l2", C=10 | +| 0.864 | penalty="l2", C=0.1 | diff --git a/tuning_reports/nowiki.damaging.md b/tuning_reports/nowiki.damaging.md index 7868eae1..a7c32900 100644 --- a/tuning_reports/nowiki.damaging.md +++ b/tuning_reports/nowiki.damaging.md @@ -1,8 +1,8 @@ # Model tuning report -- Revscoring version: 2.6.1 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.nowiki.damaging -- Date: 2019-11-26T18:06:35.620022 -- Observations: 93896 +- Date: 2021-02-12T08:54:56.805769 +- Observations: 93669 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 @@ -10,433 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.true | params | |:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| -| GradientBoosting | 0.9661 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.966 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.9658 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.9656 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.9655 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.9655 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.9652 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| GradientBoosting | 0.9651 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| GradientBoosting | 0.9651 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.965 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| GradientBoosting | 0.9633 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| GradientBoosting | 0.9629 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| GradientBoosting | 0.9626 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| GradientBoosting | 0.9626 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| GradientBoosting | 0.9626 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| GradientBoosting | 0.9626 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| GradientBoosting | 0.9625 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| GradientBoosting | 0.9623 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| GradientBoosting | 0.9621 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| GradientBoosting | 0.9621 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | # Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9435 | C=1, penalty="l1" | -| 0.9434 | C=0.1, penalty="l1" | -| 0.9421 | C=10, penalty="l1" | -| 0.828 | C=10, penalty="l2" | -| 0.8211 | C=1, penalty="l2" | -| 0.82 | C=0.1, penalty="l2" | - -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8753 | | +| 0.9194 | | ## GradientBoosting | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9661 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.966 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9658 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9656 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9655 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9655 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9652 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9651 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9651 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.965 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9648 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9648 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9646 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9646 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9642 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9641 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.964 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.964 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9639 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9637 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9637 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9635 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9634 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9633 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9632 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.963 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9629 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9628 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9627 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9626 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9623 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9623 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9622 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9621 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9621 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9619 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9618 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9618 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9618 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9618 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9617 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9617 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9617 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9617 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9616 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9612 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9611 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9611 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.961 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.961 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.961 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9608 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9606 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9605 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9601 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9601 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.96 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9598 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9598 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9597 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9597 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9595 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9595 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9595 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9593 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9593 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9593 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.959 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9588 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9587 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9585 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9583 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9583 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9583 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9583 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9582 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9582 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9582 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9582 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9581 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.958 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9578 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9578 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9577 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9577 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9575 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9571 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.957 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.957 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.957 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9568 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9565 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9564 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9564 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9563 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9562 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9562 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9562 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9561 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.956 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9558 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9558 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9557 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9556 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9552 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9552 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9549 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9547 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9546 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9544 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9539 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9538 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9532 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.953 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.953 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9516 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9515 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9515 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9512 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9511 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9511 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9509 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9507 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9506 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9504 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9504 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9503 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9503 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9502 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9499 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9482 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9481 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9473 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9458 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9456 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9453 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.945 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9449 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9448 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9448 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9446 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9442 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9435 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9431 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9427 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9422 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.942 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.942 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.942 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.942 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.942 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9416 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9415 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9412 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9411 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9405 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9402 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9398 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9396 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9396 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9393 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9374 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9366 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9366 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9366 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9366 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9366 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9333 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9333 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9333 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9333 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9333 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9326 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9326 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9326 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9326 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9326 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.928 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9238 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9225 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9216 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9197 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9183 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9161 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9147 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9139 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9101 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9086 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9085 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9083 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9083 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9069 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9053 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9046 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9045 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9039 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9029 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.895 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8928 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8904 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8838 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.8828 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.8791 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.8785 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8751 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.8747 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.872 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.8689 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8634 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8613 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8591 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8573 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8572 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8571 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.8565 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8556 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8543 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8534 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8527 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.848 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8456 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.844 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8402 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8324 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8317 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8255 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8254 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8239 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8238 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8185 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8154 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8122 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.8077 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.8069 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.8063 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.8062 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8038 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8013 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.7986 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.7947 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.791 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.79 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7866 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7862 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7768 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7731 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7728 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.7727 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.7706 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.77 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7684 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7676 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.7632 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7621 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7565 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7557 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7555 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.755 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7536 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7516 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7503 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7426 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7426 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7402 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7381 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.736 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7358 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7314 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7305 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.73 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.723 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.722 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7196 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7195 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7175 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.7165 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7163 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.716 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.716 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7153 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7129 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7122 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7113 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7107 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7052 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7037 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.7036 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7034 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7027 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7024 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7016 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7008 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6992 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6975 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6959 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6954 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.6938 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.6925 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.686 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6829 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6805 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.6802 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6775 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.6715 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6704 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6695 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6685 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.667 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.6657 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6606 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6575 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.657 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6479 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6472 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.6361 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.636 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.6293 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.5978 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.5529 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.5016 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9633 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9629 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9626 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9626 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9626 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9626 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9625 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9623 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9621 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9621 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.962 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.962 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9618 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9618 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9618 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9616 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9616 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9615 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9613 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9613 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9612 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9611 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9611 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.961 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.961 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9607 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9606 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9606 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9605 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9605 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.96 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9598 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9596 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9595 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9591 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9587 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9587 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9586 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9586 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9586 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9584 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9584 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9584 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9583 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9583 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9582 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9581 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.958 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.9579 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9579 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9578 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9578 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9577 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9577 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9577 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9576 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9575 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9575 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9575 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9574 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9574 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9573 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9573 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9573 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9572 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9571 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.957 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.957 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9569 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9568 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9566 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9566 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9564 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9564 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9563 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9563 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9562 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9562 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9562 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9561 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9561 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.956 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.956 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.956 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.956 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.956 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9558 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9557 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9555 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9554 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9553 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9553 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9553 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9553 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9552 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9551 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.955 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.955 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.955 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9549 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9547 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9546 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9543 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9543 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9543 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9543 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9542 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9541 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9536 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9536 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9536 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9534 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9533 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9524 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9519 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9508 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9506 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9504 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9498 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9495 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9493 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9491 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.949 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9488 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9488 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9486 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9486 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9484 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9479 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9472 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.947 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9454 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9453 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9449 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9445 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.944 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.944 | n_estimators=100, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9423 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9422 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9418 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9417 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9417 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9416 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9414 | n_estimators=700, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9412 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9411 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9408 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9407 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9405 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.9403 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9403 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9402 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9399 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9398 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9396 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9395 | n_estimators=300, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9394 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9393 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9391 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9378 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9378 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9374 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9374 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9373 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9368 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9368 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9368 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9366 | n_estimators=500, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.936 | n_estimators=100, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9353 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9349 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9346 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9343 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9332 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9332 | n_estimators=300, max_features="log2", learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9318 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9279 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9256 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9193 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9193 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9184 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.918 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9152 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.9126 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9125 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9124 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9116 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.9114 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9077 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.9071 | n_estimators=500, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9063 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.9038 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.902 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.8995 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.8992 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.8987 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.8984 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.8979 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.8977 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.8972 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.8947 | n_estimators=700, max_features="log2", learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.8883 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.8806 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.8794 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.8784 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.8773 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.8766 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.872 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.8691 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8675 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.8674 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.8673 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.8671 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.8667 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.865 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.8645 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.8622 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8587 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.856 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.8534 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.8531 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.853 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.8521 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.8478 | n_estimators=100, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.8431 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8421 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.8299 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.829 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.8166 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.8136 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.8102 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.8096 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.807 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8059 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.8033 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.802 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.8016 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.7976 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.797 | n_estimators=300, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.7947 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.7939 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.7933 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.7917 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.7907 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.7857 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.7856 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.7836 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.7835 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.7827 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.7786 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.7679 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.7649 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.7584 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.7567 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.7529 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.7529 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.7523 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.7502 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.7467 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.7464 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.7459 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.7354 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.7338 | n_estimators=500, max_features="log2", learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.7326 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.73 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.7285 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.7284 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.7282 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.7273 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.7264 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.7248 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.7236 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.7215 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.7213 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.7206 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.7186 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.7162 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.715 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.7146 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.7139 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.7131 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.7109 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.7091 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.7078 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.7066 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.704 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.7034 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.7001 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.6988 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.6956 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.6952 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.6951 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.6926 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.6898 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.6897 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.6888 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.6885 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.6846 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.6829 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.6806 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.676 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.6657 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.6627 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.6599 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.6595 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.6591 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.6566 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.6548 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.6543 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.6532 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.6532 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.6492 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.6452 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.6429 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.6381 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.6376 | n_estimators=100, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.6331 | n_estimators=300, max_features="log2", learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.6323 | n_estimators=700, max_features="log2", learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.6308 | n_estimators=500, max_features="log2", learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.5309 | n_estimators=700, max_features="log2", learning_rate=1, min_samples_leaf=5, max_depth=3 | -## GaussianNB +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8628 | C=10, penalty="l2" | +| 0.862 | C=1, penalty="l2" | +| 0.8573 | C=0.1, penalty="l2" | + +## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.9198 | | +| 0.8741 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9615 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | -| 0.9613 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | -| 0.9608 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | -| 0.9605 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | -| 0.9603 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | -| 0.96 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | -| 0.9599 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | -| 0.9595 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | -| 0.9591 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | -| 0.959 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | -| 0.9589 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | -| 0.9589 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | -| 0.9587 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | -| 0.9586 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | -| 0.9584 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | -| 0.9581 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | -| 0.9578 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | -| 0.9573 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | -| 0.9572 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | -| 0.9572 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | -| 0.9571 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | -| 0.9568 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | -| 0.9562 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | -| 0.955 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | -| 0.9549 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | -| 0.9548 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | -| 0.9538 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | -| 0.9532 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | -| 0.9529 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | -| 0.9529 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | -| 0.9527 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | -| 0.9522 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | -| 0.9522 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | -| 0.9521 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | -| 0.9518 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | -| 0.9509 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | -| 0.9509 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | -| 0.9496 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | -| 0.9493 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | -| 0.949 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | -| 0.9484 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | -| 0.9472 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | -| 0.9457 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | -| 0.9451 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | -| 0.9447 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | -| 0.9446 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | -| 0.9442 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | -| 0.9429 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | -| 0.9423 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | -| 0.9416 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | -| 0.9403 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | -| 0.9402 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | -| 0.9394 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | -| 0.9383 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | -| 0.9374 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | -| 0.9374 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | -| 0.9369 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | -| 0.9352 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | -| 0.9312 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | -| 0.9289 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | -| 0.9285 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | -| 0.9283 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | -| 0.9262 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | -| 0.9245 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | -| 0.9236 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | -| 0.9178 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | -| 0.9119 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | -| 0.9071 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | -| 0.892 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | -| 0.8871 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.9606 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9596 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9586 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9582 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9579 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9578 | n_estimators=640, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9578 | n_estimators=640, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9578 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9578 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9574 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9573 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9572 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.957 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9569 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9565 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9562 | n_estimators=640, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9556 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9556 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9555 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9554 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9554 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9553 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9548 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9546 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9545 | n_estimators=640, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9544 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9543 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9534 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9533 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9529 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9529 | n_estimators=640, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.952 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9519 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9519 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9515 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9512 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9509 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9497 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9493 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9489 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9486 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9485 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9475 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.947 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9462 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9452 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.9447 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | +| 0.9432 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9429 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9417 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.94 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9391 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9374 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9366 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9361 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | +| 0.935 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9332 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9329 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | +| 0.9325 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9304 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | +| 0.9302 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9274 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| 0.9263 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | +| 0.9258 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | +| 0.9215 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.9182 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | +| 0.9106 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | +| 0.9064 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.8841 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | +| 0.8822 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | diff --git a/tuning_reports/nowiki.goodfaith.md b/tuning_reports/nowiki.goodfaith.md index e6fae12e..38f21d09 100644 --- a/tuning_reports/nowiki.goodfaith.md +++ b/tuning_reports/nowiki.goodfaith.md @@ -1,8 +1,8 @@ # Model tuning report -- Revscoring version: 2.6.1 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.nowiki.goodfaith -- Date: 2019-11-26T21:10:44.698865 -- Observations: 93896 +- Date: 2021-02-12T11:41:37.704898 +- Observations: 93669 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) - Folds: 5 @@ -10,432 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.false | params | |:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| -| GradientBoosting | 0.9856 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9855 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9855 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| GradientBoosting | 0.9854 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9854 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9854 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9854 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9854 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9854 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9853 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | +| GradientBoosting | 0.9851 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | +| GradientBoosting | 0.9849 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | +| GradientBoosting | 0.9849 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| GradientBoosting | 0.9849 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| GradientBoosting | 0.9849 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| GradientBoosting | 0.9848 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9848 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | +| GradientBoosting | 0.9848 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| GradientBoosting | 0.9848 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9848 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | # Models +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9688 | | + ## GradientBoosting | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9856 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9855 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9855 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9854 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9854 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9854 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9854 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9854 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9854 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9853 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9853 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9853 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9853 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9853 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9852 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9852 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9852 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9852 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9851 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9851 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9851 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9851 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9851 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9851 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9851 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.985 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.985 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.985 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.985 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.985 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9849 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9849 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9849 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9849 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9848 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9848 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9848 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9847 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9847 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9847 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9847 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9847 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9847 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9845 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9845 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9845 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9845 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9845 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9845 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9844 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9844 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9844 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9843 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9843 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9843 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9843 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9842 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9842 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9842 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9841 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9841 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.984 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.984 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9839 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9839 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9839 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9838 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9838 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9838 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9838 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9837 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9836 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9834 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9834 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9834 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9834 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9834 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9834 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9833 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9833 | min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9832 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9832 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9831 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.983 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.983 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.983 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.983 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9829 | min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9828 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9827 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9826 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9825 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9824 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9824 | min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9824 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9821 | min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9821 | min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9821 | min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9821 | min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9821 | min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9819 | min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9819 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9818 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9817 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9815 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9815 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9814 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9814 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9813 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9812 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9812 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9812 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9811 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9808 | min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9808 | min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9808 | min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9807 | min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9807 | min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9805 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9804 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9803 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9801 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9795 | min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9795 | min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9795 | min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9795 | min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9795 | min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9794 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9793 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9792 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9792 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.979 | min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9789 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9789 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9788 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9781 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9776 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9774 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9766 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9766 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9764 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9762 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.976 | min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.976 | min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.976 | min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.976 | min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.976 | min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9731 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9718 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9717 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9707 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9695 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9686 | min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9677 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.967 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9652 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9648 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9646 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9638 | min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9626 | min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9618 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9613 | min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9607 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9594 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9594 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9591 | min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9552 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9508 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9432 | min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9431 | min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.943 | min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.942 | min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9408 | min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9407 | min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9407 | min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9407 | min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9396 | min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9383 | min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9371 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9315 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9299 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9293 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9267 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9211 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.915 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9083 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9081 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9066 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.906 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9021 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9004 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8983 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8943 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8915 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8892 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8868 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8817 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8793 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8774 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8756 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8723 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.871 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8695 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8694 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8629 | min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8628 | min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8627 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8625 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8561 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.8545 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8542 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8541 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.8507 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8471 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8444 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.8404 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.839 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.834 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.8283 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8269 | min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.8265 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8228 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8214 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.8188 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.815 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8126 | min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.8102 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.808 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.8058 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.8042 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.8014 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.7963 | min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.7944 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7943 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.7921 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.7921 | min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7815 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7783 | min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7745 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.7739 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7708 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7708 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7704 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7697 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.7673 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.7672 | min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.7655 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.7649 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7649 | min_samples_leaf=5, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.7626 | min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.7598 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.7586 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.7567 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7562 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.7561 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.7523 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7513 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.7495 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7491 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7473 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.7465 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7452 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.7451 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.7449 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.7447 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.7445 | min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7422 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7412 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7403 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7403 | min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7381 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7373 | min_samples_leaf=1, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7366 | min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7363 | min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.7346 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7341 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.7332 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7332 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.7321 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7312 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.7297 | min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.7272 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.7213 | min_samples_leaf=7, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.717 | min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.7166 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.7155 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.7121 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.7109 | min_samples_leaf=5, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.7057 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.7044 | min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.7037 | min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.7024 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.6996 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.6994 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.6977 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.6974 | min_samples_leaf=13, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6898 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6891 | min_samples_leaf=3, learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.6861 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.6837 | min_samples_leaf=13, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6826 | min_samples_leaf=3, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6803 | min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6801 | min_samples_leaf=7, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6773 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.6746 | min_samples_leaf=1, learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6738 | min_samples_leaf=5, learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.6701 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.667 | min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.6654 | min_samples_leaf=3, learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.6642 | min_samples_leaf=7, learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.6541 | min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.6261 | min_samples_leaf=13, learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.6168 | min_samples_leaf=5, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.6154 | min_samples_leaf=7, learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.6018 | min_samples_leaf=1, learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.5703 | min_samples_leaf=1, learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.5594 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.544 | min_samples_leaf=3, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.5278 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.4972 | min_samples_leaf=13, learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | - -## RandomForestClassifier -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------| -| 0.9844 | min_samples_leaf=13, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.984 | min_samples_leaf=5, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.9837 | min_samples_leaf=5, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9836 | min_samples_leaf=7, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9834 | min_samples_leaf=13, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9834 | min_samples_leaf=3, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9831 | min_samples_leaf=7, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.9826 | min_samples_leaf=7, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9826 | min_samples_leaf=13, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9826 | min_samples_leaf=13, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9824 | min_samples_leaf=3, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9823 | min_samples_leaf=5, criterion="gini", n_estimators=640, max_features="log2" | -| 0.9822 | min_samples_leaf=13, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9821 | min_samples_leaf=3, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.982 | min_samples_leaf=13, criterion="gini", n_estimators=640, max_features="log2" | -| 0.982 | min_samples_leaf=5, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9818 | min_samples_leaf=3, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9816 | min_samples_leaf=13, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9813 | min_samples_leaf=7, criterion="gini", n_estimators=640, max_features="log2" | -| 0.9813 | min_samples_leaf=5, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9811 | min_samples_leaf=7, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.981 | min_samples_leaf=13, criterion="gini", n_estimators=160, max_features="log2" | -| 0.981 | min_samples_leaf=7, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9809 | min_samples_leaf=13, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9807 | min_samples_leaf=7, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9804 | min_samples_leaf=3, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.98 | min_samples_leaf=7, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9796 | min_samples_leaf=1, criterion="gini", n_estimators=640, max_features="log2" | -| 0.9794 | min_samples_leaf=3, criterion="gini", n_estimators=640, max_features="log2" | -| 0.9793 | min_samples_leaf=5, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9792 | min_samples_leaf=13, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9792 | min_samples_leaf=1, criterion="gini", n_estimators=320, max_features="log2" | -| 0.9789 | min_samples_leaf=5, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9789 | min_samples_leaf=1, criterion="entropy", n_estimators=640, max_features="log2" | -| 0.9789 | min_samples_leaf=7, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9788 | min_samples_leaf=3, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9786 | min_samples_leaf=1, criterion="entropy", n_estimators=160, max_features="log2" | -| 0.9784 | min_samples_leaf=7, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9781 | min_samples_leaf=5, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9777 | min_samples_leaf=5, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9776 | min_samples_leaf=5, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9776 | min_samples_leaf=5, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9775 | min_samples_leaf=13, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9767 | min_samples_leaf=3, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9766 | min_samples_leaf=1, criterion="entropy", n_estimators=320, max_features="log2" | -| 0.9759 | min_samples_leaf=13, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9749 | min_samples_leaf=7, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9745 | min_samples_leaf=7, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9744 | min_samples_leaf=3, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.974 | min_samples_leaf=1, criterion="entropy", n_estimators=80, max_features="log2" | -| 0.9734 | min_samples_leaf=13, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9731 | min_samples_leaf=5, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9731 | min_samples_leaf=3, criterion="gini", n_estimators=40, max_features="log2" | -| 0.9722 | min_samples_leaf=1, criterion="gini", n_estimators=80, max_features="log2" | -| 0.9714 | min_samples_leaf=7, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9705 | min_samples_leaf=1, criterion="gini", n_estimators=160, max_features="log2" | -| 0.9689 | min_samples_leaf=13, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9653 | min_samples_leaf=3, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9651 | min_samples_leaf=3, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9627 | min_samples_leaf=5, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9586 | min_samples_leaf=7, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9585 | min_samples_leaf=1, criterion="gini", n_estimators=40, max_features="log2" | -| 0.958 | min_samples_leaf=3, criterion="gini", n_estimators=10, max_features="log2" | -| 0.958 | min_samples_leaf=5, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9572 | min_samples_leaf=1, criterion="entropy", n_estimators=40, max_features="log2" | -| 0.9561 | min_samples_leaf=3, criterion="entropy", n_estimators=10, max_features="log2" | -| 0.9446 | min_samples_leaf=1, criterion="entropy", n_estimators=20, max_features="log2" | -| 0.9413 | min_samples_leaf=1, criterion="gini", n_estimators=20, max_features="log2" | -| 0.9237 | min_samples_leaf=1, criterion="gini", n_estimators=10, max_features="log2" | -| 0.9179 | min_samples_leaf=1, criterion="entropy", n_estimators=10, max_features="log2" | +| 0.9851 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9849 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9849 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9849 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9849 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9848 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9848 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9848 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9848 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9848 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9848 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9848 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9848 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9847 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9847 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9847 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9846 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9846 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9846 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9846 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9845 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9845 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9845 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9844 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9844 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9844 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9844 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9843 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9843 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9843 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9843 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9842 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9842 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9842 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9842 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.984 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.984 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.984 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.984 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.984 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9839 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9839 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9839 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9839 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9839 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9838 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9838 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9838 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9838 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9838 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9837 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9837 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9837 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9837 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9837 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9836 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9836 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9836 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9836 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9835 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9835 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9834 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9834 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9833 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9833 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9833 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9832 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9832 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9832 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9832 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9831 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9831 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9831 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9831 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9831 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.983 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.983 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.983 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9829 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9828 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9828 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9828 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9827 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9826 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9826 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.9825 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9825 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9825 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9825 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9825 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9824 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9824 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9822 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9821 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9819 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9819 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9818 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9816 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9816 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9815 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9815 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9814 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9811 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9811 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9811 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.981 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9809 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9809 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9807 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9805 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9803 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9802 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9801 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.98 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.98 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9799 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9797 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9796 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9794 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.979 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9785 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9783 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9783 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9783 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9782 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9779 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9779 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9776 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9772 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9767 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9764 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9757 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9755 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9751 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9751 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.975 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.974 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.974 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9738 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9738 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.9728 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.972 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9718 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9716 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9708 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9707 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9706 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9706 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9696 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9683 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9683 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9678 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9676 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9662 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9652 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9641 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.964 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.964 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9639 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9637 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9636 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9632 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.963 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.963 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9621 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9617 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9606 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.9594 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9581 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9562 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9533 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9502 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.9479 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9469 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9467 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9455 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9454 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9449 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.943 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.943 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.942 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9407 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9382 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9381 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.9375 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9326 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9247 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.9233 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9215 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.9182 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9136 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | +| 0.9133 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9091 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.9035 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8993 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8963 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8928 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8926 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8859 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8832 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8677 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8668 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | +| 0.8664 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8619 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8581 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8558 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8551 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8534 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8528 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8527 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8483 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8468 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | +| 0.8466 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | +| 0.845 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8419 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8405 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8358 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | +| 0.8353 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | +| 0.8333 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8246 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8239 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.823 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8213 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | +| 0.8143 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | +| 0.8132 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | +| 0.8122 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.812 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.8087 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8068 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | +| 0.806 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.8048 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | +| 0.8044 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8017 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7986 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7973 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7959 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | +| 0.789 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | +| 0.789 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7884 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.7851 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7843 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7814 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.7809 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7794 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7765 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7743 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7735 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7718 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.7696 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7672 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.7662 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7619 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7615 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7602 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7582 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7576 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7569 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7562 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7556 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7553 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7548 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7544 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7506 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7502 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7456 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7453 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7448 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.7425 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7417 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7415 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7412 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7407 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7401 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | +| 0.739 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7368 | min_samples_leaf=5, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7358 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7352 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | +| 0.735 | min_samples_leaf=5, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7342 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7331 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7321 | min_samples_leaf=1, n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7307 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7293 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7277 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.7271 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7247 | min_samples_leaf=13, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7236 | min_samples_leaf=3, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7228 | min_samples_leaf=13, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7197 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | +| 0.7189 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7163 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7127 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | +| 0.7084 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | +| 0.702 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6912 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6905 | min_samples_leaf=13, n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6904 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | +| 0.688 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6869 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6799 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6758 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6756 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6706 | min_samples_leaf=7, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6653 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | +| 0.66 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6581 | min_samples_leaf=7, n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6546 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6411 | min_samples_leaf=3, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6384 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6278 | min_samples_leaf=7, n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6135 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6105 | min_samples_leaf=5, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6062 | min_samples_leaf=1, n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6031 | min_samples_leaf=7, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | +| 0.5897 | min_samples_leaf=5, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | +| 0.587 | min_samples_leaf=1, n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5869 | min_samples_leaf=13, n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5651 | min_samples_leaf=3, n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5291 | min_samples_leaf=3, n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | +| 0.5044 | min_samples_leaf=1, n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | ## BernoulliNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.9331 | | +| 0.9328 | | ## LogisticRegression | roc_auc.labels.false | params | |-----------------------:|:--------------------| -| 0.9714 | penalty="l1", C=0.1 | -| 0.9671 | penalty="l1", C=1 | -| 0.8217 | penalty="l2", C=10 | -| 0.8188 | penalty="l2", C=0.1 | -| 0.806 | penalty="l2", C=1 | +| 0.9039 | penalty="l2", C=0.1 | +| 0.9018 | penalty="l2", C=10 | +| 0.8994 | penalty="l2", C=1 | -## GaussianNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.9676 | | +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9835 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9834 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | +| 0.983 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.983 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9828 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9828 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.9826 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9821 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9813 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=640 | +| 0.981 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=640 | +| 0.981 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9809 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9809 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9806 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9805 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9804 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9804 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9802 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.98 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.98 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9798 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9797 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9796 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9795 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9793 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9792 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9792 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9791 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | +| 0.979 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9786 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9784 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9781 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.978 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9779 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9779 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9779 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9776 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.9775 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9772 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9769 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | +| 0.9766 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9766 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | +| 0.9752 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9751 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.975 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.9748 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9748 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.974 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9738 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | +| 0.9734 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.9731 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | +| 0.9723 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.9708 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | +| 0.9703 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.9695 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.9677 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.9675 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.9673 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | +| 0.964 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | +| 0.9623 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | +| 0.9621 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.9617 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.9588 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | +| 0.9574 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.9572 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | +| 0.9522 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | +| 0.9506 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.9494 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | +| 0.918 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.9105 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | diff --git a/tuning_reports/plwiki.damaging.md b/tuning_reports/plwiki.damaging.md index 352ef326..51fa94e6 100644 --- a/tuning_reports/plwiki.damaging.md +++ b/tuning_reports/plwiki.damaging.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.plwiki.damaging -- Date: 2017-09-12T17:28:30.444800 -- Observations: 15013 +- Date: 2021-02-12T14:17:55.511352 +- Observations: 4782 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.973 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.972 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9704 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9694 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9693 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9691 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9688 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.968 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9674 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9669 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="gini" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| +| GradientBoosting | 0.8547 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| GradientBoosting | 0.8538 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| GradientBoosting | 0.8524 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| GradientBoosting | 0.8523 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| GradientBoosting | 0.8523 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| GradientBoosting | 0.8521 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| GradientBoosting | 0.852 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| GradientBoosting | 0.8517 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| GradientBoosting | 0.8517 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| GradientBoosting | 0.8517 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | # Models -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.973 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.972 | n_estimators=320, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9704 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.9694 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9693 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9691 | n_estimators=160, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9688 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.968 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9674 | n_estimators=320, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9669 | n_estimators=320, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9666 | n_estimators=160, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9666 | n_estimators=160, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9666 | n_estimators=80, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.966 | n_estimators=160, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9658 | n_estimators=320, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9655 | n_estimators=80, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9645 | n_estimators=320, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9645 | n_estimators=160, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9641 | n_estimators=80, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.964 | n_estimators=80, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9635 | n_estimators=80, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9633 | n_estimators=80, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9631 | n_estimators=160, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9629 | n_estimators=320, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.962 | n_estimators=40, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9611 | n_estimators=80, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9602 | n_estimators=80, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9599 | n_estimators=160, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9595 | n_estimators=40, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9592 | n_estimators=320, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.959 | n_estimators=40, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9585 | n_estimators=40, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9585 | n_estimators=80, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9584 | n_estimators=40, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9582 | n_estimators=160, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9576 | n_estimators=40, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9573 | n_estimators=40, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9555 | n_estimators=40, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.9543 | n_estimators=40, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.953 | n_estimators=20, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9528 | n_estimators=20, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9524 | n_estimators=20, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9509 | n_estimators=20, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9503 | n_estimators=20, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.9491 | n_estimators=20, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.9491 | n_estimators=40, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9468 | n_estimators=20, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9441 | n_estimators=10, min_samples_leaf=5, max_features="log2", criterion="entropy" | -| 0.942 | n_estimators=10, min_samples_leaf=13, max_features="log2", criterion="gini" | -| 0.9411 | n_estimators=10, min_samples_leaf=7, max_features="log2", criterion="entropy" | -| 0.941 | n_estimators=10, min_samples_leaf=7, max_features="log2", criterion="gini" | -| 0.9403 | n_estimators=10, min_samples_leaf=13, max_features="log2", criterion="entropy" | -| 0.9387 | n_estimators=20, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9379 | n_estimators=10, min_samples_leaf=5, max_features="log2", criterion="gini" | -| 0.9356 | n_estimators=10, min_samples_leaf=3, max_features="log2", criterion="entropy" | -| 0.9301 | n_estimators=10, min_samples_leaf=3, max_features="log2", criterion="gini" | -| 0.9203 | n_estimators=20, min_samples_leaf=1, max_features="log2", criterion="entropy" | -| 0.9192 | n_estimators=20, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.8908 | n_estimators=10, min_samples_leaf=1, max_features="log2", criterion="gini" | -| 0.8872 | n_estimators=10, min_samples_leaf=1, max_features="log2", criterion="entropy" | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.964 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9634 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9632 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9615 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9591 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9591 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9589 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9589 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.9588 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9583 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.9571 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.957 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9568 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9563 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.9547 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9545 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=7 | -| 0.9518 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=5 | -| 0.9518 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=7 | -| 0.9513 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=3 | -| 0.9492 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.9479 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9476 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9467 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9456 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9441 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=1 | -| 0.9439 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9436 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9429 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9422 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=1 | -| 0.9416 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9416 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.9408 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=1 | -| 0.9398 | n_estimators=700, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9396 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9377 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9374 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=3 | -| 0.9373 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=5 | -| 0.9366 | n_estimators=500, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9362 | n_estimators=700, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9342 | n_estimators=100, learning_rate=0.5, max_features="log2", max_depth=1 | -| 0.9326 | n_estimators=300, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9313 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=1 | -| 0.9303 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=5 | -| 0.9298 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.9284 | n_estimators=300, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.9267 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=3 | -| 0.9258 | n_estimators=500, learning_rate=0.5, max_features="log2", max_depth=7 | -| 0.9238 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=5 | -| 0.9205 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=3 | -| 0.9137 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=7 | -| 0.9132 | n_estimators=500, learning_rate=1, max_features="log2", max_depth=5 | -| 0.912 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=3 | -| 0.91 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=3 | -| 0.907 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=5 | -| 0.9048 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=5 | -| 0.9039 | n_estimators=300, learning_rate=1, max_features="log2", max_depth=7 | -| 0.9002 | n_estimators=100, learning_rate=0.1, max_features="log2", max_depth=1 | -| 0.8997 | n_estimators=100, learning_rate=1, max_features="log2", max_depth=7 | -| 0.8979 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=3 | -| 0.8886 | n_estimators=700, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.8813 | n_estimators=500, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.8672 | n_estimators=300, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.8467 | n_estimators=100, learning_rate=0.01, max_features="log2", max_depth=1 | -| 0.7608 | n_estimators=700, learning_rate=1, max_features="log2", max_depth=7 | - ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.7714 | | +| 0.777 | | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.6602 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.8547 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.8538 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.8524 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.8523 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.8523 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.8521 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.852 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.8517 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.8517 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.8517 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.8516 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.8514 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.8509 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.8503 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.8501 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.8501 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.8501 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.8499 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.8499 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.8499 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.8496 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.8496 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.8495 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.8493 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.8492 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.8491 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.8491 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.849 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.8487 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.8486 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.8485 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.8485 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.8485 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.8483 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.8482 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.8482 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.8482 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.8476 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.8471 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.8471 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.8471 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.8468 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.8468 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.8467 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.8466 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.8465 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.8464 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.8464 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.8463 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.8462 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.8461 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.8459 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.8459 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.8458 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.8458 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.8457 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.8456 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.8456 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.8455 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.8452 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.8449 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.8449 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.8446 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.8443 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.8442 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.8439 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.8438 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.8436 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.8435 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.8433 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.8432 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.8429 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.8428 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.8426 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.8426 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.8422 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.8421 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.8418 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.8418 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.8417 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.8417 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.8416 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.8414 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.8412 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.8411 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.841 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.841 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.8406 | max_features="log2", max_depth=7, learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.8402 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.8402 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.84 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.8399 | max_features="log2", max_depth=5, learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.8399 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.8399 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.8399 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.8398 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.8397 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.8393 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.839 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.8388 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.8388 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.8381 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.8378 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.8377 | max_features="log2", max_depth=1, learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.8372 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.8371 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.8368 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.8367 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.8364 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.836 | max_features="log2", max_depth=3, learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.836 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.836 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.8357 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.8354 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.835 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.835 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.8344 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.8344 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.8344 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.8341 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.834 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.8339 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.8337 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.8336 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.833 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.833 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.8326 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.8322 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.8318 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.8315 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.8314 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.8313 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.8309 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.8309 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.8306 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.8303 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.8301 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.8301 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.83 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.8289 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.8289 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.8288 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.8287 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.8283 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.8283 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.8281 | max_features="log2", max_depth=1, learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.8273 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.8267 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.8264 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.8258 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.8256 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.8256 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.8248 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.8242 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.8238 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.8231 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.8224 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.8222 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.8218 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.8217 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.8217 | max_features="log2", max_depth=3, learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.8217 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.8213 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5, n_estimators=500 | +| 0.8209 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.8206 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.8206 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.8194 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.8184 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.8174 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.8173 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.8173 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.8163 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.8162 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.815 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.8147 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.8145 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.8128 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.8121 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=5, n_estimators=700 | +| 0.8116 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.8114 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.8105 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.8103 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.81 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.8095 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.8095 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.809 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.8088 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.8074 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.8072 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.8069 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.8068 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.8064 | max_features="log2", max_depth=1, learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.8064 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.8046 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.8039 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.8033 | max_features="log2", max_depth=5, learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.802 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.8011 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.8007 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.8006 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.8004 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.8004 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.7988 | max_features="log2", max_depth=1, learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.7986 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.7979 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.7972 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.7963 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.7958 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.795 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.7948 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.794 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.7925 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.791 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.7902 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.7893 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.7863 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.7849 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.7839 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.7835 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.7828 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.7826 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.7825 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.7812 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.7809 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.7785 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.7784 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.7765 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.7761 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.7761 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.7752 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.7728 | max_features="log2", max_depth=7, learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.7724 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.7717 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.7715 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.7707 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.7688 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.7685 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.7685 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.7682 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.7681 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.7674 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.7666 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5, n_estimators=500 | +| 0.7662 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.766 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.7654 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.7652 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.7646 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.7637 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.7635 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.7635 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.7633 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.7629 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.7628 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.7628 | max_features="log2", max_depth=3, learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.7619 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.761 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.7607 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.7598 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.759 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.7589 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.7568 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.7567 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.7562 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5, n_estimators=500 | +| 0.7553 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.7553 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.7551 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.7548 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.7536 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.7535 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.7527 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.7526 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.7525 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.7522 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.7522 | max_features="log2", max_depth=7, learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.7512 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.751 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.7509 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.7508 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.7507 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5, n_estimators=700 | +| 0.7499 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.7494 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.7491 | max_features="log2", max_depth=5, learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.7484 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.7483 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.7475 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.7471 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.7456 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.7452 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.745 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5, n_estimators=700 | +| 0.7444 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.7435 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.7431 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.7427 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.7422 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.742 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.7407 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.7397 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.7394 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.7389 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.7389 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=5, n_estimators=700 | +| 0.7378 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.7377 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.7376 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.7368 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.7366 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.7365 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.7356 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.7354 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.7342 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.7335 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.731 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.7309 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.7294 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.7283 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.7281 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.727 | max_features="log2", max_depth=3, learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.727 | max_features="log2", max_depth=5, learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.7249 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.7204 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.7113 | max_features="log2", max_depth=7, learning_rate=1, min_samples_leaf=5, n_estimators=500 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.8699 | C=1, penalty="l1" | -| 0.8695 | C=10, penalty="l1" | -| 0.8496 | C=0.1, penalty="l1" | -| 0.7026 | C=1, penalty="l2" | -| 0.7016 | C=10, penalty="l2" | -| 0.6872 | C=0.1, penalty="l2" | +| 0.7197 | penalty="l2", C=1 | +| 0.7038 | penalty="l2", C=0.1 | +| 0.6995 | penalty="l2", C=10 | -## GaussianNB -| roc_auc.labels.true | params | -|| +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.8509 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | +| 0.8506 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| 0.8495 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | +| 0.8492 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="entropy" | +| 0.849 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | +| 0.8487 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | +| 0.8486 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | +| 0.8485 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| 0.8481 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| 0.8477 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | +| 0.8474 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| 0.8466 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="entropy" | +| 0.8454 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | +| 0.8454 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="entropy" | +| 0.8451 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | +| 0.8447 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="gini" | +| 0.8446 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="entropy" | +| 0.8446 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | +| 0.8446 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="entropy" | +| 0.8442 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="gini" | +| 0.8439 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="gini" | +| 0.8438 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="entropy" | +| 0.8434 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="gini" | +| 0.8434 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="entropy" | +| 0.8428 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="gini" | +| 0.8428 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | +| 0.8425 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="gini" | +| 0.8425 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="gini" | +| 0.8419 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="gini" | +| 0.8415 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="gini" | +| 0.8414 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="gini" | +| 0.8414 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="gini" | +| 0.841 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="gini" | +| 0.8408 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="gini" | +| 0.8406 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="entropy" | +| 0.84 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="gini" | +| 0.8387 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="gini" | +| 0.8383 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="gini" | +| 0.8375 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="gini" | +| 0.836 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="gini" | +| 0.8353 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="entropy" | +| 0.8351 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="entropy" | +| 0.8351 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="entropy" | +| 0.8343 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="gini" | +| 0.8338 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="gini" | +| 0.8331 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="gini" | +| 0.8319 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="entropy" | +| 0.8315 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="gini" | +| 0.8303 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="entropy" | +| 0.8301 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="gini" | +| 0.8293 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="entropy" | +| 0.8289 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="entropy" | +| 0.8275 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="gini" | +| 0.8254 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="entropy" | +| 0.8234 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="gini" | +| 0.8228 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="gini" | +| 0.8213 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="gini" | +| 0.8204 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="gini" | +| 0.8199 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="entropy" | +| 0.8175 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="gini" | +| 0.8169 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="entropy" | +| 0.816 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="entropy" | +| 0.8092 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="gini" | +| 0.8049 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="entropy" | +| 0.8044 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="entropy" | +| 0.7994 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="gini" | +| 0.7981 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="gini" | +| 0.7881 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="entropy" | +| 0.7704 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="entropy" | +| 0.7622 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="gini" | diff --git a/tuning_reports/plwiki.goodfaith.md b/tuning_reports/plwiki.goodfaith.md index 4fae3ea0..e0be6c30 100644 --- a/tuning_reports/plwiki.goodfaith.md +++ b/tuning_reports/plwiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.plwiki.goodfaith -- Date: 2017-09-12T21:12:09.902886 -- Observations: 15013 +- Date: 2021-02-12T14:24:33.370996 +- Observations: 4782 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9747 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| RandomForestClassifier | 0.9746 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9742 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | -| RandomForestClassifier | 0.9732 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| RandomForestClassifier | 0.9724 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| RandomForestClassifier | 0.9719 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | -| RandomForestClassifier | 0.9713 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| GradientBoosting | 0.9711 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| RandomForestClassifier | 0.9709 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | -| RandomForestClassifier | 0.9708 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9651 | learning_rate=0.1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9651 | learning_rate=0.1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9636 | learning_rate=0.1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| GradientBoosting | 0.963 | learning_rate=0.1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9622 | learning_rate=0.1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9617 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9614 | learning_rate=0.1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9614 | learning_rate=0.1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9614 | learning_rate=0.1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9613 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | # Models +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9174 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.915 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.9042 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.9038 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8947 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.8947 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.8935 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.893 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.8923 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.8917 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.8915 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.8909 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8902 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.8901 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.8898 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.8897 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.8891 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.8889 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8888 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.8886 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.8883 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8882 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.8882 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.8875 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.8871 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.887 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.8869 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.8866 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.8865 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.8862 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.8859 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.8858 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.8856 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.8854 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.8854 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.8852 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.8851 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.885 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.8849 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.8848 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.8846 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.8845 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.8841 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8839 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.8833 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.8831 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.883 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.8822 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.8818 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.8812 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.8811 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.8809 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.8809 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.8799 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.8799 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.8798 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.8795 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.8795 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.8791 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.8788 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.8788 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.8782 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.8779 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.8771 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.8768 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8764 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.8756 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.8748 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.8732 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.8697 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | + ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8171 | | +| 0.8443 | | ## GaussianNB -| roc_auc.labels.true | params | -|| - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9747 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9746 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9742 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9732 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9724 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9719 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9713 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9709 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9708 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9706 | n_estimators=320, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9703 | n_estimators=320, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9699 | n_estimators=80, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9696 | n_estimators=160, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9689 | n_estimators=320, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9687 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9682 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9679 | n_estimators=160, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9677 | n_estimators=320, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9677 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9677 | n_estimators=80, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9673 | n_estimators=160, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9671 | n_estimators=160, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9662 | n_estimators=160, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9657 | n_estimators=80, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9656 | n_estimators=80, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9655 | n_estimators=40, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9651 | n_estimators=40, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9649 | n_estimators=80, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9649 | n_estimators=40, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9642 | n_estimators=20, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.964 | n_estimators=80, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9636 | n_estimators=40, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9634 | n_estimators=80, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9632 | n_estimators=20, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9624 | n_estimators=40, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9623 | n_estimators=40, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9621 | n_estimators=80, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9619 | n_estimators=20, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9618 | n_estimators=40, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9612 | n_estimators=40, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9607 | n_estimators=20, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9599 | n_estimators=20, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9582 | n_estimators=20, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9565 | n_estimators=80, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.953 | n_estimators=20, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9529 | n_estimators=10, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.952 | n_estimators=40, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9506 | n_estimators=10, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9504 | n_estimators=20, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9483 | n_estimators=10, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.947 | n_estimators=10, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9431 | n_estimators=10, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9424 | n_estimators=10, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9398 | n_estimators=40, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9357 | n_estimators=20, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9307 | n_estimators=10, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9284 | n_estimators=20, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9259 | n_estimators=10, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9005 | n_estimators=10, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.8948 | n_estimators=10, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9075 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.8826 | C=1, penalty="l1" | -| 0.8806 | C=10, penalty="l1" | -| 0.8662 | C=0.1, penalty="l1" | -| 0.6673 | C=10, penalty="l2" | -| 0.6467 | C=0.1, penalty="l2" | -| 0.6333 | C=1, penalty="l2" | +| 0.7515 | penalty="l2", C=0.1 | +| 0.7213 | penalty="l2", C=10 | +| 0.707 | penalty="l2", C=1 | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9711 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9703 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9689 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9683 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9682 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9671 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9668 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9667 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9665 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9661 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9657 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9653 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9649 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=7 | -| 0.9632 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9632 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9631 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.963 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=7 | -| 0.9618 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.96 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=3 | -| 0.9597 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9596 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9589 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=5 | -| 0.9585 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9577 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9568 | n_estimators=700, max_features="log2", learning_rate=0.1, max_depth=5 | -| 0.9566 | n_estimators=500, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9562 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.955 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9549 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9547 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9543 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9534 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9529 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9523 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9518 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=1 | -| 0.9492 | n_estimators=300, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9487 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=5 | -| 0.9466 | n_estimators=500, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9461 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9449 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9437 | n_estimators=100, max_features="log2", learning_rate=0.5, max_depth=7 | -| 0.9416 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=3 | -| 0.9414 | n_estimators=700, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9336 | n_estimators=300, max_features="log2", learning_rate=0.5, max_depth=3 | -| 0.9282 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9264 | n_estimators=100, max_features="log2", learning_rate=0.1, max_depth=1 | -| 0.9255 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=1 | -| 0.925 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9211 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=1 | -| 0.9196 | n_estimators=700, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9137 | n_estimators=500, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9133 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9071 | n_estimators=300, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.9067 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=5 | -| 0.9058 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=3 | -| 0.9041 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8931 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=7 | -| 0.881 | n_estimators=100, max_features="log2", learning_rate=0.01, max_depth=1 | -| 0.8604 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=3 | -| 0.8575 | n_estimators=100, max_features="log2", learning_rate=1, max_depth=5 | -| 0.8348 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=7 | -| 0.8248 | n_estimators=300, max_features="log2", learning_rate=1, max_depth=7 | -| 0.7487 | n_estimators=700, max_features="log2", learning_rate=1, max_depth=5 | -| 0.7202 | n_estimators=500, max_features="log2", learning_rate=1, max_depth=7 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9651 | learning_rate=0.1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9651 | learning_rate=0.1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9636 | learning_rate=0.1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| 0.963 | learning_rate=0.1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9622 | learning_rate=0.1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9617 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9614 | learning_rate=0.1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9614 | learning_rate=0.1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9614 | learning_rate=0.1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9613 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9613 | learning_rate=0.5, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9611 | learning_rate=0.5, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9611 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9609 | learning_rate=0.5, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9609 | learning_rate=0.5, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9608 | learning_rate=1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9606 | learning_rate=0.5, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9605 | learning_rate=0.1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9604 | learning_rate=0.5, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9603 | learning_rate=0.5, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9601 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9599 | learning_rate=0.5, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9594 | learning_rate=0.5, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9593 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9592 | learning_rate=0.5, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9591 | learning_rate=0.5, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9589 | learning_rate=0.5, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9589 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9589 | learning_rate=0.5, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9589 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9588 | learning_rate=0.5, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9586 | learning_rate=0.5, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9585 | learning_rate=0.5, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9585 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9582 | learning_rate=0.5, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9578 | learning_rate=0.5, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9577 | learning_rate=1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9575 | learning_rate=0.5, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9574 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9573 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9573 | learning_rate=0.1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9573 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9571 | learning_rate=0.5, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9569 | learning_rate=0.5, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9569 | learning_rate=0.5, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9568 | learning_rate=0.5, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9567 | learning_rate=0.5, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9564 | learning_rate=0.5, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9563 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9563 | learning_rate=1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9559 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9559 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9559 | learning_rate=0.5, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9558 | learning_rate=0.5, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9557 | learning_rate=0.5, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9556 | learning_rate=1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9556 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9555 | learning_rate=1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9555 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9555 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9553 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9552 | learning_rate=0.5, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9552 | learning_rate=0.1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9552 | learning_rate=0.5, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=3 | +| 0.955 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9549 | learning_rate=0.1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9548 | learning_rate=0.5, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9545 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9545 | learning_rate=0.5, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9539 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9539 | learning_rate=0.1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9537 | learning_rate=0.5, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9537 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9536 | learning_rate=1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9535 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9534 | learning_rate=0.5, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9532 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9532 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9532 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9531 | learning_rate=0.1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9528 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9527 | learning_rate=0.1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9521 | learning_rate=0.1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9519 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9519 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9519 | learning_rate=0.1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9519 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9516 | learning_rate=0.5, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9509 | learning_rate=1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9509 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9508 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9508 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9508 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9507 | learning_rate=0.5, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9499 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9498 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9493 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=7 | +| 0.9489 | learning_rate=0.5, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9485 | learning_rate=0.1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9483 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=3 | +| 0.948 | learning_rate=0.5, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9474 | learning_rate=0.1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.947 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9457 | learning_rate=0.5, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9447 | learning_rate=1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9399 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9395 | learning_rate=0.1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9386 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=5 | +| 0.9365 | learning_rate=1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9364 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9363 | learning_rate=0.1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9348 | learning_rate=0.1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9343 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9336 | learning_rate=0.5, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9335 | learning_rate=0.5, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9334 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9322 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=3 | +| 0.9315 | learning_rate=0.1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9298 | learning_rate=0.1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9292 | learning_rate=0.5, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9263 | learning_rate=0.5, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9242 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9239 | learning_rate=0.1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9234 | learning_rate=0.5, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9218 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9177 | learning_rate=0.5, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=3 | +| 0.915 | learning_rate=0.5, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9134 | learning_rate=1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9134 | learning_rate=0.5, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9133 | learning_rate=0.5, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9097 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9087 | learning_rate=0.5, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9054 | learning_rate=1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8973 | learning_rate=0.1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8954 | learning_rate=0.1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8939 | learning_rate=0.01, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8935 | learning_rate=0.01, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8933 | learning_rate=0.01, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8932 | learning_rate=0.01, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=3 | +| 0.893 | learning_rate=0.01, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=7 | +| 0.8929 | learning_rate=0.01, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8923 | learning_rate=0.01, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8923 | learning_rate=0.01, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8923 | learning_rate=0.01, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=3 | +| 0.892 | learning_rate=0.01, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8918 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8916 | learning_rate=0.01, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8914 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8912 | learning_rate=0.1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8912 | learning_rate=0.01, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8911 | learning_rate=0.01, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=5 | +| 0.891 | learning_rate=0.01, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=3 | +| 0.891 | learning_rate=0.01, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8909 | learning_rate=0.01, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8908 | learning_rate=0.01, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.8907 | learning_rate=0.01, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8905 | learning_rate=0.01, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=5 | +| 0.8904 | learning_rate=0.01, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.8903 | learning_rate=0.01, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8901 | learning_rate=0.1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8901 | learning_rate=0.01, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.89 | learning_rate=0.01, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=7 | +| 0.8898 | learning_rate=0.01, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.8897 | learning_rate=0.01, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8897 | learning_rate=0.01, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | +| 0.8897 | learning_rate=0.01, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.8897 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8892 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8892 | learning_rate=0.01, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8889 | learning_rate=0.01, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8885 | learning_rate=0.1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8882 | learning_rate=0.01, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8882 | learning_rate=0.01, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8881 | learning_rate=0.01, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8881 | learning_rate=0.1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8881 | learning_rate=1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=3 | +| 0.888 | learning_rate=0.01, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.888 | learning_rate=0.01, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8877 | learning_rate=0.01, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8876 | learning_rate=0.01, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=5 | +| 0.8874 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8873 | learning_rate=0.1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8871 | learning_rate=0.01, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8871 | learning_rate=0.01, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.887 | learning_rate=0.1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=3 | +| 0.887 | learning_rate=0.01, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=7 | +| 0.8868 | learning_rate=0.01, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=7 | +| 0.8868 | learning_rate=0.1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8867 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.8862 | learning_rate=0.01, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.8862 | learning_rate=0.1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8861 | learning_rate=0.01, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8859 | learning_rate=0.01, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=7 | +| 0.8857 | learning_rate=0.01, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8854 | learning_rate=0.01, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8854 | learning_rate=0.01, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8852 | learning_rate=0.1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8852 | learning_rate=0.01, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8847 | learning_rate=0.01, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8847 | learning_rate=0.01, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8841 | learning_rate=0.1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8839 | learning_rate=0.01, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8836 | learning_rate=0.1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8834 | learning_rate=0.01, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8811 | learning_rate=0.1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8801 | learning_rate=1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8796 | learning_rate=0.1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8796 | learning_rate=0.01, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8796 | learning_rate=0.1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8795 | learning_rate=0.1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8794 | learning_rate=0.01, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8791 | learning_rate=0.1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8791 | learning_rate=0.01, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8789 | learning_rate=0.01, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8788 | learning_rate=0.1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8786 | learning_rate=0.01, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8786 | learning_rate=0.1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8785 | learning_rate=0.01, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8785 | learning_rate=0.01, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8783 | learning_rate=0.01, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8782 | learning_rate=1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8781 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8779 | learning_rate=0.1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8778 | learning_rate=0.1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8778 | learning_rate=0.1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8777 | learning_rate=0.1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8775 | learning_rate=0.1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8774 | learning_rate=0.1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8774 | learning_rate=0.1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8773 | learning_rate=0.01, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8771 | learning_rate=0.1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8771 | learning_rate=0.1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8769 | learning_rate=0.1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8767 | learning_rate=0.01, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8767 | learning_rate=0.01, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8764 | learning_rate=0.01, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8762 | learning_rate=0.01, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8759 | learning_rate=0.01, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8758 | learning_rate=0.1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8754 | learning_rate=0.1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8753 | learning_rate=0.1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8751 | learning_rate=0.1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=1 | +| 0.875 | learning_rate=0.1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8749 | learning_rate=0.1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8747 | learning_rate=0.5, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8745 | learning_rate=0.5, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8744 | learning_rate=0.01, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=1 | +| 0.874 | learning_rate=0.1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=1 | +| 0.874 | learning_rate=0.1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8739 | learning_rate=0.01, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8735 | learning_rate=0.1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8735 | learning_rate=0.1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8733 | learning_rate=1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8731 | learning_rate=0.1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8728 | learning_rate=0.1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8728 | learning_rate=0.1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8727 | learning_rate=0.1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8727 | learning_rate=0.5, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8725 | learning_rate=0.1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=1 | +| 0.872 | learning_rate=0.01, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8719 | learning_rate=0.01, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8717 | learning_rate=0.1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8716 | learning_rate=0.5, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8715 | learning_rate=0.01, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8711 | learning_rate=0.5, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8699 | learning_rate=0.01, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8693 | learning_rate=0.1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8679 | learning_rate=0.1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8676 | learning_rate=0.1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8668 | learning_rate=0.1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8668 | learning_rate=0.1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8667 | learning_rate=0.1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8645 | learning_rate=0.1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8633 | learning_rate=0.1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8623 | learning_rate=0.5, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8597 | learning_rate=0.5, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8585 | learning_rate=0.5, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8573 | learning_rate=0.1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8567 | learning_rate=0.5, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8533 | learning_rate=0.5, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=1 | +| 0.853 | learning_rate=0.5, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=1 | +| 0.853 | learning_rate=0.5, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8524 | learning_rate=0.5, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8509 | learning_rate=0.5, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8505 | learning_rate=0.5, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8505 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8493 | learning_rate=0.5, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8489 | learning_rate=0.5, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8484 | learning_rate=0.01, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8474 | learning_rate=0.01, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8474 | learning_rate=0.01, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=1 | +| 0.846 | learning_rate=0.5, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8448 | learning_rate=0.01, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8443 | learning_rate=1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=1 | +| 0.844 | learning_rate=0.5, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8438 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8433 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8422 | learning_rate=0.01, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8418 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=1 | +| 0.841 | learning_rate=1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8403 | learning_rate=1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8392 | learning_rate=0.5, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8391 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8378 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8377 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8372 | learning_rate=0.5, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8371 | learning_rate=1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8363 | learning_rate=0.5, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8356 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=1 | +| 0.835 | learning_rate=1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8349 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8346 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8343 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8342 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=1 | +| 0.833 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8329 | learning_rate=0.5, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8329 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=1 | +| 0.8285 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=1 | +| 0.8277 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8244 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=1 | diff --git a/tuning_reports/ptwiki.damaging.md b/tuning_reports/ptwiki.damaging.md index 7c7a7434..f4025de7 100644 --- a/tuning_reports/ptwiki.damaging.md +++ b/tuning_reports/ptwiki.damaging.md @@ -1,172 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.ptwiki.damaging -- Date: 2017-09-13T01:10:22.208258 -- Observations: 19757 +- Date: 2021-02-12T14:31:43.701039 +- Observations: 28980 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9242 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | -| GradientBoosting | 0.924 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | -| GradientBoosting | 0.9231 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | -| GradientBoosting | 0.923 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | -| RandomForestClassifier | 0.923 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=320 | -| GradientBoosting | 0.9229 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | -| RandomForestClassifier | 0.9228 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=320 | -| GradientBoosting | 0.9228 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | -| GradientBoosting | 0.9225 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | -| GradientBoosting | 0.9225 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9192 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| GradientBoosting | 0.919 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.919 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.919 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| GradientBoosting | 0.9189 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9189 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| GradientBoosting | 0.9187 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9186 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| GradientBoosting | 0.9185 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| GradientBoosting | 0.9185 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | # Models -## GaussianNB -| roc_auc.labels.true | params | -|| +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.765 | C=10, penalty="l2" | +| 0.7612 | C=0.1, penalty="l2" | +| 0.7602 | C=1, penalty="l2" | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8605 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9242 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.924 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9231 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.923 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9229 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9228 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9225 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9225 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9225 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9219 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9218 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9218 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9214 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9214 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9209 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9206 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9203 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9202 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9202 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9198 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9195 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9187 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9182 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.918 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9169 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9159 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9157 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9156 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9154 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9151 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9142 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9139 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9139 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9135 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9133 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9084 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9071 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9062 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9042 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9033 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.902 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9013 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9009 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9009 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.8998 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.8995 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.8991 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.8977 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.8956 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.8912 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | -| 0.8902 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | -| 0.8876 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.8874 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.8839 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | -| 0.8837 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | -| 0.8836 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | -| 0.8835 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | -| 0.8822 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | -| 0.8819 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | -| 0.8796 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | -| 0.8781 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | -| 0.8747 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | -| 0.8704 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.8631 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | +| 0.8525 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.923 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9228 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9223 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9222 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9221 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=320 | -| 0.9221 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.922 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9218 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9215 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9213 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9212 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9211 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9209 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9209 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=320 | -| 0.9207 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9207 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9207 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9205 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9202 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9201 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=320 | -| 0.92 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9195 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.9194 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=160 | -| 0.9193 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.919 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9189 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9187 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9187 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9169 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9169 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9167 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9167 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.9163 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=160 | -| 0.9158 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9143 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=40 | -| 0.9142 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=80 | -| 0.914 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9134 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9131 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=80 | -| 0.9125 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9121 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9114 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9109 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9104 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.9087 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=20 | -| 0.9066 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.9036 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=40 | -| 0.903 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=10 | -| 0.9018 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.8998 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=40 | -| 0.8989 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=10 | -| 0.8915 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.8906 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=20 | -| 0.8869 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=10 | -| 0.8829 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=20 | -| 0.8574 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=10 | -| 0.845 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=10 | +| 0.9181 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9178 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9176 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9175 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9174 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9171 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9168 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9168 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9166 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.9166 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.9162 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.9161 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.916 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.9154 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9151 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.9143 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9143 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.9143 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9142 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9142 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9141 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.914 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9139 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9138 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9137 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.9137 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9131 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.913 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=80 | +| 0.913 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.9128 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.9128 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9125 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9124 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.9123 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9123 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=320 | +| 0.912 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=40 | +| 0.9117 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=80 | +| 0.9117 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9116 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=40 | +| 0.9114 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=80 | +| 0.91 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9099 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=80 | +| 0.9098 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9092 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.9089 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9082 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.908 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9076 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9072 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9067 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=40 | +| 0.9052 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=40 | +| 0.905 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9049 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9032 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.9025 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.902 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9018 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=10 | +| 0.9 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=80 | +| 0.8996 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.8996 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=20 | +| 0.899 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.897 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=10 | +| 0.8967 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=10 | +| 0.8946 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=40 | +| 0.8874 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.8861 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=10 | +| 0.8815 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.8752 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=20 | +| 0.852 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.8477 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=10 | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9039 | C=1, penalty="l1" | -| 0.903 | C=10, penalty="l1" | -| 0.9018 | C=0.1, penalty="l1" | -| 0.7104 | C=10, penalty="l2" | -| 0.703 | C=1, penalty="l2" | -| 0.6853 | C=0.1, penalty="l2" | +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.6735 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9192 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.919 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.919 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.919 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9189 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9189 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9187 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9186 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9185 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9185 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9184 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9183 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9183 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9183 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9181 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9181 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9181 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.918 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9179 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9179 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9177 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9176 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9176 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9176 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9174 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9174 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9174 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9173 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9172 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9172 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9172 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9171 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9171 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9171 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.917 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9168 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9168 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9167 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9166 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9166 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9165 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9162 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9162 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9162 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9162 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9162 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9159 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9159 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9159 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9158 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9157 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9157 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9157 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9156 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9156 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9155 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9155 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9154 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9154 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9154 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9153 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9153 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9153 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9152 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9152 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9151 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9151 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9151 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9151 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9148 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9146 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9146 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9145 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9145 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9145 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9145 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9144 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9143 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9143 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9143 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9142 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9142 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9142 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9142 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9142 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9141 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.914 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.914 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9138 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9136 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9135 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9134 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9133 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9132 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9131 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9129 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9129 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9129 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9128 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9128 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9127 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9126 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9126 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9125 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9123 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9123 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9123 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9122 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9122 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9121 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.912 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9118 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9118 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9118 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9115 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9115 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9114 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9114 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9112 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9112 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9112 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.911 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9109 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9109 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9108 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9105 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9105 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9105 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9104 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9103 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9102 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9102 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9099 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9099 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9097 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9096 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9094 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9091 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9088 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9088 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9087 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9086 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9086 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9085 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9085 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9081 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.908 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9078 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9078 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9077 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9077 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9076 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9076 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9076 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9073 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9073 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9073 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9072 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.907 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.907 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9069 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9069 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9069 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9066 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9064 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9057 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9054 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9048 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9036 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9035 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9033 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9032 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9032 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9022 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9021 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9018 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9015 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9014 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9012 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9008 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9005 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9004 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9001 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.8999 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8995 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.8995 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8992 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8988 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8985 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8983 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.898 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.898 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8974 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8972 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8972 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8967 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8967 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8964 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8956 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.8954 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8953 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8952 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8949 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.8946 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.8944 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.8941 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.894 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.8937 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8931 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8927 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8923 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.892 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8915 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.891 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8909 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8908 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.89 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8895 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8895 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8893 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8891 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8887 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8873 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8856 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.8854 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8841 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8835 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.883 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8829 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.8825 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8824 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8822 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.8817 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.8815 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.8809 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.8808 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8804 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.8799 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8796 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8785 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.8784 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.878 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8776 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8774 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8769 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.8765 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8762 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8753 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8746 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8738 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8733 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8726 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8724 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8718 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8712 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.8711 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8711 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8706 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8706 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8704 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.8693 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8684 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8681 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.8676 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8672 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8662 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.8661 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8661 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8642 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.8626 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8621 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8617 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8579 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.8576 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.8575 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8554 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8552 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8531 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.8528 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8524 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8523 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8522 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8479 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8477 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8472 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8467 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8464 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8456 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8415 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8398 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8396 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8348 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8314 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8297 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.829 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8245 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.824 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8238 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.8191 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8186 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8185 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8183 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8182 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8161 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.816 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8061 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7979 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7964 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7903 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.7896 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.7889 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7765 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.7721 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7702 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.7643 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.7614 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7557 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7479 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.7459 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.7435 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | diff --git a/tuning_reports/ptwiki.goodfaith.md b/tuning_reports/ptwiki.goodfaith.md index 2e9d628c..7460464f 100644 --- a/tuning_reports/ptwiki.goodfaith.md +++ b/tuning_reports/ptwiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.ptwiki.goodfaith -- Date: 2017-09-13T05:47:14.365488 -- Observations: 19757 +- Date: 2021-02-12T15:20:27.947735 +- Observations: 28980 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9318 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | -| RandomForestClassifier | 0.9309 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9308 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9308 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9304 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9302 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| GradientBoosting | 0.9301 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | -| GradientBoosting | 0.9298 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | -| RandomForestClassifier | 0.9298 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| GradientBoosting | 0.9297 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| model | roc_auc.labels.false | params | +|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9328 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9325 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9325 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7 | +| GradientBoosting | 0.9323 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5 | +| GradientBoosting | 0.9322 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3 | +| GradientBoosting | 0.9321 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7 | +| GradientBoosting | 0.932 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13 | +| GradientBoosting | 0.9319 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5 | +| GradientBoosting | 0.9319 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3 | +| GradientBoosting | 0.9318 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9318 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9301 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9298 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9297 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9291 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | -| 0.929 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9285 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9285 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9283 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9279 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9278 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9274 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9267 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9266 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9261 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9258 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9256 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9247 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9246 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | -| 0.924 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9238 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9236 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9226 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9222 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9221 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9208 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9205 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9203 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9202 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9186 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9182 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9176 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9176 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9173 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9162 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9153 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9152 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9129 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9116 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9102 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | -| 0.91 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9099 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9093 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9092 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9091 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9079 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9075 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9074 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9072 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9037 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | -| 0.8991 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | -| 0.8981 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | -| 0.8967 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | -| 0.8935 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | -| 0.8934 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | -| 0.8919 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | -| 0.8915 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | -| 0.8908 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | -| 0.8897 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | -| 0.8878 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | -| 0.887 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | -| 0.8858 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | -| 0.8858 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | -| 0.8836 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | - ## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9062 | C=1, penalty="l1" | -| 0.9056 | C=10, penalty="l1" | -| 0.9042 | C=0.1, penalty="l1" | -| 0.697 | C=0.1, penalty="l2" | -| 0.6686 | C=10, penalty="l2" | -| 0.663 | C=1, penalty="l2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.7732 | penalty="l2", C=1 | +| 0.7667 | penalty="l2", C=10 | +| 0.7661 | penalty="l2", C=0.1 | + +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.684 | | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9309 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9308 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9308 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9304 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9302 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9298 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9296 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9295 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9287 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9286 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9284 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9284 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9281 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9281 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9276 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9275 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.927 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9269 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9267 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9265 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9259 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9258 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9258 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9256 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9254 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9252 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9248 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9243 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9243 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9242 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.923 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9229 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9227 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9225 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9216 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9213 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9213 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9211 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9208 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9204 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9194 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9193 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9179 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9178 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9176 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9173 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9163 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | -| 0.9156 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9149 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.9145 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.9128 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9126 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | -| 0.9103 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9056 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8976 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8974 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8969 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8904 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8608 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8557 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9309 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9308 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9308 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9307 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9306 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9303 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9301 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9301 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9297 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9296 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9294 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9292 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9289 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9287 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9283 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.928 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9272 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.927 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9268 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9266 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9265 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9262 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9262 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9261 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9261 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.926 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9259 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9259 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9255 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9251 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9251 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9251 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9248 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9248 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9245 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9244 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9243 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9241 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9233 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9231 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9225 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9217 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9217 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9217 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9209 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9206 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9204 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9196 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9192 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.9192 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9191 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9188 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9178 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9166 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9156 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=13 | +| 0.9147 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=13 | +| 0.9137 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9134 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=7 | +| 0.9126 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=5 | +| 0.911 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=7 | +| 0.9109 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.9075 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.9068 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.9062 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=5 | +| 0.9043 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=3 | +| 0.9008 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=3 | +| 0.8984 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.8847 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=1 | +| 0.8597 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=1 | +| 0.8475 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=1 | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8678 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8688 | | -## GaussianNB -| roc_auc.labels.true | params | -|| +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9328 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9325 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9325 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9323 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9322 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9321 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.932 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9319 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9319 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9318 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9318 | n_estimators=700, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.9318 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9318 | n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9314 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9313 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9313 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9312 | n_estimators=700, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9311 | n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9311 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9311 | n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.931 | n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9309 | n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9309 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9309 | n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9308 | n_estimators=100, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.9307 | n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9307 | n_estimators=500, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9306 | n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9306 | n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9306 | n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9305 | n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9305 | n_estimators=300, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9305 | n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.9305 | n_estimators=500, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9304 | n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9303 | n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9302 | n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9301 | n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9298 | n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9298 | n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9298 | n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9298 | n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9297 | n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9296 | n_estimators=500, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9295 | n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9294 | n_estimators=100, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9294 | n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9293 | n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9292 | n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9292 | n_estimators=300, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9292 | n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.929 | n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9289 | n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9288 | n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9288 | n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9288 | n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9288 | n_estimators=700, learning_rate=0.1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9288 | n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9287 | n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9287 | n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9287 | n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9286 | n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9286 | n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9285 | n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9285 | n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9285 | n_estimators=700, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9284 | n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9284 | n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9284 | n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9284 | n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9284 | n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9282 | n_estimators=700, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9282 | n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.928 | n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.928 | n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.928 | n_estimators=100, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9279 | n_estimators=500, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9279 | n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9279 | n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9279 | n_estimators=300, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9276 | n_estimators=300, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9275 | n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9275 | n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9275 | n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9271 | n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.927 | n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.927 | n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9269 | n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9268 | n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9268 | n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9268 | n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9267 | n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9267 | n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9267 | n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9267 | n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9266 | n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9266 | n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9266 | n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9266 | n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9264 | n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9264 | n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9264 | n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9263 | n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9262 | n_estimators=500, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9262 | n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9262 | n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9261 | n_estimators=100, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9261 | n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9261 | n_estimators=300, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.926 | n_estimators=300, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9257 | n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9256 | n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9256 | n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9256 | n_estimators=100, learning_rate=0.01, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9256 | n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.9254 | n_estimators=500, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9253 | n_estimators=500, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9252 | n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9251 | n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.925 | n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9249 | n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9249 | n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9249 | n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9247 | n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9247 | n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9245 | n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.924 | n_estimators=100, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9239 | n_estimators=700, learning_rate=0.5, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9239 | n_estimators=100, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9238 | n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9238 | n_estimators=700, learning_rate=0.1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9236 | n_estimators=300, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9236 | n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.923 | n_estimators=300, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9229 | n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9228 | n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9227 | n_estimators=100, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9225 | n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9224 | n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.9224 | n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9224 | n_estimators=100, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9224 | n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9223 | n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9222 | n_estimators=300, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9222 | n_estimators=500, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.922 | n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.922 | n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9219 | n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9217 | n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9217 | n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9217 | n_estimators=300, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9216 | n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9216 | n_estimators=300, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9214 | n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9209 | n_estimators=100, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9209 | n_estimators=100, learning_rate=0.01, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9207 | n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9206 | n_estimators=300, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9205 | n_estimators=700, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9205 | n_estimators=500, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9203 | n_estimators=500, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9197 | n_estimators=700, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9191 | n_estimators=100, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9189 | n_estimators=500, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9187 | n_estimators=700, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9187 | n_estimators=700, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9185 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9178 | n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9177 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9176 | n_estimators=500, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9173 | n_estimators=500, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.9166 | n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9165 | n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9163 | n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9162 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9162 | n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9159 | n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9158 | n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9157 | n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9156 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9156 | n_estimators=100, learning_rate=0.1, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9155 | n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9155 | n_estimators=300, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9155 | n_estimators=300, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9152 | n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9151 | n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.915 | n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.915 | n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9149 | n_estimators=700, learning_rate=0.1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9148 | n_estimators=700, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9146 | n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9142 | n_estimators=700, learning_rate=1, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9138 | n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.9134 | n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9133 | n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.913 | n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9128 | n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9126 | n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9121 | n_estimators=100, learning_rate=0.01, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9121 | n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9121 | n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.9116 | n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9114 | n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9112 | n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9104 | n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.9104 | n_estimators=500, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9103 | n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.9103 | n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9102 | n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9101 | n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.91 | n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9098 | n_estimators=500, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.9095 | n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9078 | n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.9076 | n_estimators=700, learning_rate=0.5, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9064 | n_estimators=100, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.9062 | n_estimators=100, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.9057 | n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.9053 | n_estimators=100, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.905 | n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.9049 | n_estimators=100, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.9048 | n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.9046 | n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.9043 | n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.9042 | n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.9036 | n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.9035 | n_estimators=100, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.9014 | n_estimators=300, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.9012 | n_estimators=100, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.901 | n_estimators=100, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.9001 | n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.9001 | n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.8993 | n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.8993 | n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.8989 | n_estimators=300, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.8969 | n_estimators=300, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.8958 | n_estimators=300, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.8955 | n_estimators=300, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.8915 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.8914 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.8907 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.8895 | n_estimators=300, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.8894 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.8891 | n_estimators=500, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.8877 | n_estimators=500, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.8864 | n_estimators=700, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.8862 | n_estimators=100, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.886 | n_estimators=500, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.8859 | n_estimators=100, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.8854 | n_estimators=700, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.8841 | n_estimators=100, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.8831 | n_estimators=100, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.8831 | n_estimators=100, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.8823 | n_estimators=700, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=1 | +| 0.8822 | n_estimators=300, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.8818 | n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=7 | +| 0.8802 | n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=5 | +| 0.8783 | n_estimators=700, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=3 | +| 0.8763 | n_estimators=500, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=7 | +| 0.8751 | n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=13 | +| 0.875 | n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=3 | +| 0.8733 | n_estimators=100, learning_rate=0.01, max_depth=1, max_features="log2", min_samples_leaf=1 | +| 0.872 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.8713 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.8711 | n_estimators=700, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.8707 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.8691 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.8688 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.8673 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.8666 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.8657 | n_estimators=700, learning_rate=0.5, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.8623 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.8618 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.8614 | n_estimators=300, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.8606 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.8606 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.8605 | n_estimators=300, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.8603 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.8601 | n_estimators=300, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.86 | n_estimators=100, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.8599 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.8597 | n_estimators=500, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=13 | +| 0.8591 | n_estimators=500, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.8577 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.8559 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.8547 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.8546 | n_estimators=100, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.8544 | n_estimators=300, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.8543 | n_estimators=700, learning_rate=0.5, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.8508 | n_estimators=500, learning_rate=1, max_depth=3, max_features="log2", min_samples_leaf=5 | +| 0.8462 | n_estimators=100, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.8378 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.8355 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.8349 | n_estimators=300, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.8336 | n_estimators=100, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.8325 | n_estimators=300, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.832 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.8311 | n_estimators=300, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.8295 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.8286 | n_estimators=300, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.8262 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.8259 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.8224 | n_estimators=100, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.8178 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=1 | +| 0.8159 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.8154 | n_estimators=300, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.7954 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=3 | +| 0.7931 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.791 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.7863 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=7 | +| 0.7861 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.7817 | n_estimators=300, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.7815 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=13 | +| 0.7768 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=3 | +| 0.7748 | n_estimators=300, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=7 | +| 0.7713 | n_estimators=500, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5 | +| 0.7704 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=1 | +| 0.7279 | n_estimators=700, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=5 | +| 0.7137 | n_estimators=500, learning_rate=1, max_depth=5, max_features="log2", min_samples_leaf=13 | +| 0.7052 | n_estimators=700, learning_rate=1, max_depth=7, max_features="log2", min_samples_leaf=5 | diff --git a/tuning_reports/rowiki.damaging.md b/tuning_reports/rowiki.damaging.md index 6c2135af..0a2cd469 100644 --- a/tuning_reports/rowiki.damaging.md +++ b/tuning_reports/rowiki.damaging.md @@ -1,170 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.rowiki.damaging -- Date: 2017-09-13T10:13:53.631484 -- Observations: 19824 +- Date: 2021-02-12T16:07:40.130939 +- Observations: 19715 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9582 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=320 | -| RandomForestClassifier | 0.9582 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=80 | -| RandomForestClassifier | 0.9578 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=160 | -| GradientBoosting | 0.9574 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.1 | -| RandomForestClassifier | 0.9573 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=320 | -| RandomForestClassifier | 0.9572 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=160 | -| GradientBoosting | 0.9571 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.1 | -| GradientBoosting | 0.957 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.01 | -| RandomForestClassifier | 0.9569 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=320 | -| RandomForestClassifier | 0.9568 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=160 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9572 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| GradientBoosting | 0.9572 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| GradientBoosting | 0.957 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| RandomForestClassifier | 0.9569 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | +| GradientBoosting | 0.9568 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| RandomForestClassifier | 0.9568 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | +| RandomForestClassifier | 0.9568 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | +| GradientBoosting | 0.9566 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| RandomForestClassifier | 0.9565 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=7 | +| RandomForestClassifier | 0.9564 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=13 | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9574 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9571 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.957 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9567 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9566 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9562 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9558 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9556 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.9556 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.955 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9547 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9544 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9538 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.953 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9526 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9525 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9524 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9523 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.9523 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9515 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9512 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.951 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9505 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9502 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.95 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.9494 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9494 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9493 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9481 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9475 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.9474 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9467 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.9463 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.946 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.9448 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9445 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9441 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.9433 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.9431 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9429 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.9421 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9419 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.9407 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9398 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.9383 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9379 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.9345 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9335 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.9332 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.931 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.9296 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.9285 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.9285 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9256 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9251 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.9236 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9226 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.9222 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.9197 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9194 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.9168 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.9154 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.9152 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.8845 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=1 | - ## GaussianNB -| roc_auc.labels.true | params | -|| - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9582 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=320 | -| 0.9582 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=80 | -| 0.9578 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=160 | -| 0.9573 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=320 | -| 0.9572 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=160 | -| 0.9569 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=320 | -| 0.9568 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=160 | -| 0.9568 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=320 | -| 0.9568 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=160 | -| 0.9568 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=160 | -| 0.9566 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=80 | -| 0.9565 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=80 | -| 0.9565 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=160 | -| 0.9565 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=160 | -| 0.9565 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=40 | -| 0.9563 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=80 | -| 0.9562 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=80 | -| 0.956 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=320 | -| 0.956 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=160 | -| 0.9558 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=40 | -| 0.9557 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=40 | -| 0.9556 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=80 | -| 0.9556 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=80 | -| 0.9554 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=40 | -| 0.9549 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=80 | -| 0.9549 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=160 | -| 0.9544 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=40 | -| 0.9543 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=80 | -| 0.9539 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=40 | -| 0.9539 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=40 | -| 0.9532 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=40 | -| 0.9527 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=160 | -| 0.9523 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=20 | -| 0.9519 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=80 | -| 0.9518 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=20 | -| 0.9512 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=20 | -| 0.9512 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=20 | -| 0.9498 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=20 | -| 0.9494 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=20 | -| 0.9492 | max_features="log2", criterion="gini", min_samples_leaf=13, n_estimators=10 | -| 0.9481 | max_features="log2", criterion="entropy", min_samples_leaf=7, n_estimators=10 | -| 0.9479 | max_features="log2", criterion="entropy", min_samples_leaf=13, n_estimators=10 | -| 0.9476 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=20 | -| 0.9463 | max_features="log2", criterion="gini", min_samples_leaf=7, n_estimators=10 | -| 0.9458 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=20 | -| 0.9452 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=40 | -| 0.9448 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=40 | -| 0.9427 | max_features="log2", criterion="entropy", min_samples_leaf=5, n_estimators=10 | -| 0.9406 | max_features="log2", criterion="gini", min_samples_leaf=5, n_estimators=10 | -| 0.9371 | max_features="log2", criterion="entropy", min_samples_leaf=3, n_estimators=10 | -| 0.936 | max_features="log2", criterion="gini", min_samples_leaf=3, n_estimators=10 | -| 0.9345 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=20 | -| 0.9282 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=20 | -| 0.9043 | max_features="log2", criterion="entropy", min_samples_leaf=1, n_estimators=10 | -| 0.9033 | max_features="log2", criterion="gini", min_samples_leaf=1, n_estimators=10 | +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.6235 | | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8811 | | +| 0.8778 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9366 | penalty="l1", C=1 | -| 0.9365 | penalty="l1", C=0.1 | -| 0.9358 | penalty="l1", C=10 | -| 0.9222 | penalty="l2", C=0.1 | -| 0.9219 | penalty="l2", C=1 | -| 0.9077 | penalty="l2", C=10 | +| 0.922 | C=10, penalty="l2" | +| 0.9204 | C=0.1, penalty="l2" | +| 0.92 | C=1, penalty="l2" | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9572 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9572 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.957 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.9568 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9566 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.9563 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.9562 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.9562 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9561 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.956 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.956 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9559 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9559 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.9559 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.9558 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.9556 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9556 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9555 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.9554 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9554 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9553 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.9552 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9552 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9551 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9551 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.9551 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.955 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.9549 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9549 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9549 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9548 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9548 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.9548 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.9546 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9545 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9544 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9544 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9544 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.9544 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9543 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.9543 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.9542 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.9542 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.9541 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.9541 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.954 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9539 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9539 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9538 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.9538 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9537 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9536 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9535 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9534 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.9529 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9528 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9526 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=7 | +| 0.9526 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9524 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9523 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=1 | +| 0.9521 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=13 | +| 0.9521 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=3 | +| 0.9521 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.9521 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.952 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.952 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9519 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.9519 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9518 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9516 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.9516 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=7 | +| 0.9516 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9514 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9514 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9514 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9514 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=13 | +| 0.9513 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9513 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9512 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=3, min_samples_leaf=5 | +| 0.9511 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.951 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9509 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=5 | +| 0.9504 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=7 | +| 0.9503 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9498 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.9498 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9497 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=13 | +| 0.9496 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=1 | +| 0.9496 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.9496 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.9496 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.9496 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.9496 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=3 | +| 0.9495 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=5 | +| 0.9495 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.9494 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=5, min_samples_leaf=1 | +| 0.9494 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.9494 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.9493 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.9492 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.9492 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.9492 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.9491 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.9491 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.949 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.949 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.949 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.9488 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.9487 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.9487 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9487 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=7, min_samples_leaf=3 | +| 0.9486 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.9484 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.9484 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.9484 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9483 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.948 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.948 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.948 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=13 | +| 0.9479 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9479 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=7 | +| 0.9479 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9476 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9475 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9475 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9475 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.9474 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.9473 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.9472 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.9472 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.9469 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=3 | +| 0.9468 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=1, min_samples_leaf=1 | +| 0.9468 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.9468 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9466 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.9465 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=1, min_samples_leaf=5 | +| 0.9464 | max_features="log2", n_estimators=300, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9463 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.9462 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.9456 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.9455 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.9455 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9454 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9453 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.9451 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.9451 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=7 | +| 0.9448 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=13 | +| 0.9447 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.9447 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.9444 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.9442 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.944 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.944 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=1 | +| 0.9439 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.9438 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9438 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=3 | +| 0.9437 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=5, min_samples_leaf=5 | +| 0.9434 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=5 | +| 0.9433 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.9432 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9432 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9429 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=7 | +| 0.9428 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9428 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.9428 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9428 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9426 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=1 | +| 0.9424 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9423 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9422 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.942 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.942 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=1, min_samples_leaf=3 | +| 0.9419 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9411 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.941 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.941 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9406 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.939 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.9387 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=1, min_samples_leaf=13 | +| 0.9384 | max_features="log2", n_estimators=500, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9377 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.9374 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.9369 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.9365 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.9363 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=5 | +| 0.9361 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=3 | +| 0.936 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.9356 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=3 | +| 0.9353 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=13 | +| 0.9352 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=13 | +| 0.9352 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=1 | +| 0.9351 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=7 | +| 0.9351 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=5 | +| 0.9341 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=5 | +| 0.9332 | max_features="log2", n_estimators=100, learning_rate=0.1, max_depth=1, min_samples_leaf=1 | +| 0.9331 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=7 | +| 0.933 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=3 | +| 0.9329 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=1 | +| 0.9327 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.9327 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.9327 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=3, min_samples_leaf=7 | +| 0.9325 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9322 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9321 | max_features="log2", n_estimators=700, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9319 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.9313 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=3, min_samples_leaf=13 | +| 0.9307 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=13 | +| 0.9295 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=3 | +| 0.9295 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9284 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.9284 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.9281 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9281 | max_features="log2", n_estimators=500, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9277 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.9274 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.9261 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.9261 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=7 | +| 0.9247 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.9246 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=5 | +| 0.9244 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.9243 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.9232 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.9232 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.9231 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.923 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.923 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.9226 | max_features="log2", n_estimators=700, learning_rate=0.1, max_depth=7, min_samples_leaf=1 | +| 0.9226 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9223 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9219 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.9214 | max_features="log2", n_estimators=300, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9198 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.9195 | max_features="log2", n_estimators=100, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.9194 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.9192 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.9183 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.9165 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.9155 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=5 | +| 0.9155 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.9148 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.9137 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=13 | +| 0.9137 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=7 | +| 0.9102 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=1 | +| 0.9102 | max_features="log2", n_estimators=100, learning_rate=0.01, max_depth=1, min_samples_leaf=3 | +| 0.9098 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.905 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.9039 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.9026 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.901 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.9001 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.8977 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.8976 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.8974 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.8973 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.8959 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.8959 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.8952 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.8944 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.894 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.8935 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.8925 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.8901 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.89 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=5 | +| 0.8896 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.8896 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.8892 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=13 | +| 0.8889 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=1 | +| 0.8886 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=13 | +| 0.8885 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.8884 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=3 | +| 0.8883 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=3 | +| 0.8881 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=7 | +| 0.8879 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.8877 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.8874 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=1 | +| 0.887 | max_features="log2", n_estimators=300, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.8861 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.8859 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=3 | +| 0.8858 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=1 | +| 0.8848 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=5, min_samples_leaf=7 | +| 0.8846 | max_features="log2", n_estimators=500, learning_rate=0.5, max_depth=7, min_samples_leaf=13 | +| 0.8833 | max_features="log2", n_estimators=700, learning_rate=0.5, max_depth=7, min_samples_leaf=5 | +| 0.8774 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.8763 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=3, min_samples_leaf=7 | +| 0.8713 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.8682 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.8674 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.867 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.8666 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.8665 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.8664 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.8657 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.8653 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.8642 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.8642 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.8638 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.8624 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.8623 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.8605 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.8593 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.8578 | max_features="log2", n_estimators=100, learning_rate=1, max_depth=7, min_samples_leaf=1 | +| 0.8572 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.857 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.8538 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=5 | +| 0.8506 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=3 | +| 0.847 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=13 | +| 0.8317 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.826 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.8257 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.8133 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=3, min_samples_leaf=5 | +| 0.8113 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=5, min_samples_leaf=3 | +| 0.8079 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.8068 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=1 | +| 0.801 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=5, min_samples_leaf=7 | +| 0.7992 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.7939 | max_features="log2", n_estimators=500, learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.7792 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=5 | +| 0.7673 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=13 | +| 0.749 | max_features="log2", n_estimators=700, learning_rate=1, max_depth=7, min_samples_leaf=7 | +| 0.7317 | max_features="log2", n_estimators=300, learning_rate=1, max_depth=7, min_samples_leaf=5 | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9569 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=5 | +| 0.9568 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | +| 0.9568 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | +| 0.9565 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=7 | +| 0.9564 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=13 | +| 0.9564 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=3 | +| 0.9563 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | +| 0.9558 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | +| 0.9556 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | +| 0.9556 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | +| 0.9556 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | +| 0.9552 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | +| 0.9551 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | +| 0.9547 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | +| 0.9546 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | +| 0.9545 | max_features="log2", n_estimators=640, criterion="entropy", min_samples_leaf=1 | +| 0.9543 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | +| 0.9543 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=7 | +| 0.9543 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | +| 0.9541 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=3 | +| 0.9541 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | +| 0.9539 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=1 | +| 0.9538 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=5 | +| 0.9536 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | +| 0.9535 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | +| 0.9535 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | +| 0.9534 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | +| 0.9533 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | +| 0.9532 | max_features="log2", n_estimators=640, criterion="gini", min_samples_leaf=13 | +| 0.9531 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | +| 0.9529 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=1 | +| 0.9527 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | +| 0.9526 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | +| 0.9525 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | +| 0.9525 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | +| 0.952 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | +| 0.9519 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | +| 0.9519 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | +| 0.9519 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | +| 0.9518 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=1 | +| 0.9515 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | +| 0.9512 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | +| 0.951 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | +| 0.9504 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | +| 0.9499 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | +| 0.9497 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | +| 0.9496 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | +| 0.9491 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | +| 0.9488 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | +| 0.9485 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | +| 0.9477 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | +| 0.9474 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | +| 0.9467 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | +| 0.9454 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | +| 0.9453 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | +| 0.945 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | +| 0.9443 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | +| 0.9437 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | +| 0.943 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | +| 0.9415 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | +| 0.9376 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | +| 0.9371 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | +| 0.9339 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | +| 0.9333 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | +| 0.9306 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | +| 0.9286 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | +| 0.9231 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | +| 0.9218 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | +| 0.9021 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | +| 0.8998 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | diff --git a/tuning_reports/rowiki.goodfaith.md b/tuning_reports/rowiki.goodfaith.md index 1da7d52f..342069c8 100644 --- a/tuning_reports/rowiki.goodfaith.md +++ b/tuning_reports/rowiki.goodfaith.md @@ -1,173 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.rowiki.goodfaith -- Date: 2017-09-13T14:48:08.871782 -- Observations: 19824 +- Date: 2021-02-12T16:36:06.278426 +- Observations: 19715 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9603 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2" | -| GradientBoosting | 0.9598 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9596 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2" | -| RandomForestClassifier | 0.9593 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| GradientBoosting | 0.9593 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.9591 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2" | -| GradientBoosting | 0.959 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2" | -| RandomForestClassifier | 0.9589 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| GradientBoosting | 0.9589 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2" | -| RandomForestClassifier | 0.9589 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| RandomForestClassifier | 0.9602 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| GradientBoosting | 0.9602 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| RandomForestClassifier | 0.9601 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| RandomForestClassifier | 0.96 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| RandomForestClassifier | 0.96 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| GradientBoosting | 0.9598 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| RandomForestClassifier | 0.9597 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | +| GradientBoosting | 0.9596 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| GradientBoosting | 0.9596 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| GradientBoosting | 0.9596 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | # Models -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9073 | | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9602 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.9598 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.9596 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.9596 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.9596 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.9595 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.9595 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.9594 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.9594 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.9594 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.9593 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.9593 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.9593 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.9593 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.9592 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.9592 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.9591 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.9591 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.959 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.9589 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.9587 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.9587 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.9586 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.9586 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.9586 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.9586 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.9586 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.9585 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.9585 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.9584 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.9584 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.9584 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.9582 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.9582 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.9582 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.9581 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.9581 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.958 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.958 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.958 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.958 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.9579 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.9579 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.9579 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.9579 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.9579 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.9578 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.9578 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.9578 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.9578 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.9577 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.9577 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.9575 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.9575 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.9574 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.9574 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.9574 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.9573 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.9572 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.9572 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.9572 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.9571 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.957 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.957 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.957 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.9569 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.9569 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.9569 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.9568 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.9567 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.9567 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.9566 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.9566 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.9566 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.9566 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.9566 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.9565 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.9565 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.9564 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.9564 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.956 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.956 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.956 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.9559 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.9558 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.9557 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.9556 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.9556 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.9556 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.9556 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.9555 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.9553 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.9553 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.9551 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.955 | max_depth=3, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.9549 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.9548 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.9547 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.9546 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.9546 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.9543 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.9543 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.9542 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.9542 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.9541 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.9541 | max_depth=7, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.9541 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.9537 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.9535 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.9534 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.9534 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.9533 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.953 | max_depth=5, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.953 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.9529 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.9528 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.9527 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.9527 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.9527 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.9524 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.9524 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.9523 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.9523 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.9522 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.952 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.9519 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.9519 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.9517 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.9517 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.9515 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.9515 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.9515 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.9513 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.9511 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.951 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=300 | +| 0.951 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.9509 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.9507 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=100 | +| 0.9501 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.9495 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.9495 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.9494 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.9493 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.9492 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.9491 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=300 | +| 0.949 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=100 | +| 0.949 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=100 | +| 0.949 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=100 | +| 0.949 | max_depth=1, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=100 | +| 0.949 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.949 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.9489 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.9487 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.9486 | max_depth=1, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.9486 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=700 | +| 0.9484 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.9483 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=700 | +| 0.9481 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.9481 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.9479 | max_depth=3, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.9477 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=700 | +| 0.9475 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.9474 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=700 | +| 0.9474 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=700 | +| 0.9472 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.9471 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.9469 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.9469 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=300 | +| 0.9468 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=500 | +| 0.9468 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=500 | +| 0.9462 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.9462 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=300 | +| 0.9461 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.9458 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=500 | +| 0.9455 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.9454 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=300 | +| 0.9451 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.9451 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=500 | +| 0.945 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=500 | +| 0.9446 | max_depth=5, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.9444 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.9436 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=500 | +| 0.9436 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.9434 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=300 | +| 0.9434 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=300 | +| 0.9431 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.943 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=300 | +| 0.9426 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.9425 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=300 | +| 0.9418 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.941 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.9407 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=700 | +| 0.9405 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.9404 | max_depth=1, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.9402 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.9392 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=300 | +| 0.939 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.9377 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.9367 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.9352 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.9347 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.9343 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.9319 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=5, n_estimators=100 | +| 0.9319 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.9316 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=13, n_estimators=100 | +| 0.9315 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.9311 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=1, n_estimators=100 | +| 0.9311 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=3, n_estimators=100 | +| 0.9289 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.9269 | max_depth=1, max_features="log2", learning_rate=0.01, min_samples_leaf=7, n_estimators=100 | +| 0.926 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.9248 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=500 | +| 0.9244 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.9243 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.9231 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.9212 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.9198 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.9197 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.9197 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=500 | +| 0.9188 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=500 | +| 0.9174 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.9173 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=500 | +| 0.9159 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.9151 | max_depth=3, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.9146 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=500 | +| 0.9066 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=13, n_estimators=700 | +| 0.9061 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=100 | +| 0.9044 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=1, n_estimators=700 | +| 0.904 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.9032 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=100 | +| 0.9015 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=3, n_estimators=700 | +| 0.9001 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=100 | +| 0.8992 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=7, n_estimators=700 | +| 0.899 | max_depth=7, max_features="log2", learning_rate=0.1, min_samples_leaf=5, n_estimators=700 | +| 0.8985 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.8977 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.896 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=100 | +| 0.8953 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.8947 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.8945 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=100 | +| 0.8944 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.8879 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.8878 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.887 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.8865 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.8864 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.8858 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.8856 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=700 | +| 0.8855 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.885 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.8844 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=300 | +| 0.8833 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=300 | +| 0.8824 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.8824 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=700 | +| 0.8802 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.8801 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.8801 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.8798 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=500 | +| 0.8797 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.8784 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=500 | +| 0.8781 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.8778 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.8778 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=300 | +| 0.877 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.8769 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=300 | +| 0.8764 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.8757 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=700 | +| 0.8754 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=500 | +| 0.8742 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.8738 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=5, n_estimators=500 | +| 0.8731 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=300 | +| 0.8727 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=3, n_estimators=500 | +| 0.8703 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.8691 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=13, n_estimators=700 | +| 0.863 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.862 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.86 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.8597 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.8542 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.8523 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=700 | +| 0.8513 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.8506 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=500 | +| 0.8493 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.8465 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.8464 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.8449 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=500 | +| 0.8444 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.8443 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=100 | +| 0.8436 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=500 | +| 0.8419 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.8414 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.8402 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.8396 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.8379 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=700 | +| 0.8363 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.8359 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=100 | +| 0.8334 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=100 | +| 0.833 | max_depth=5, max_features="log2", learning_rate=0.5, min_samples_leaf=7, n_estimators=700 | +| 0.8308 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=100 | +| 0.823 | max_depth=7, max_features="log2", learning_rate=0.5, min_samples_leaf=1, n_estimators=500 | +| 0.8218 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=500 | +| 0.8132 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.8078 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=700 | +| 0.8039 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.8031 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.7977 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.7976 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=700 | +| 0.7925 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.7838 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.7786 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=1, n_estimators=300 | +| 0.7773 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=300 | +| 0.7738 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=500 | +| 0.7712 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=500 | +| 0.7703 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=300 | +| 0.7612 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=300 | +| 0.758 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=100 | +| 0.7559 | max_depth=7, max_features="log2", learning_rate=1, min_samples_leaf=13, n_estimators=300 | +| 0.7542 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=3, n_estimators=700 | +| 0.754 | max_depth=3, max_features="log2", learning_rate=1, min_samples_leaf=7, n_estimators=700 | +| 0.7434 | max_depth=5, max_features="log2", learning_rate=1, min_samples_leaf=5, n_estimators=700 | + +## GaussianNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9561 | | ## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9511 | C=10, penalty="l1" | -| 0.9509 | C=0.1, penalty="l1" | -| 0.9508 | C=1, penalty="l1" | -| 0.9408 | C=0.1, penalty="l2" | -| 0.9218 | C=1, penalty="l2" | -| 0.9188 | C=10, penalty="l2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.9399 | penalty="l2", C=1 | +| 0.9397 | penalty="l2", C=10 | +| 0.938 | penalty="l2", C=0.1 | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9593 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9589 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9589 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9588 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9588 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9586 | n_estimators=320, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9585 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9584 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9582 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9576 | n_estimators=160, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9574 | n_estimators=320, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9572 | n_estimators=80, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9571 | n_estimators=80, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9568 | n_estimators=80, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9568 | n_estimators=40, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9566 | n_estimators=80, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9565 | n_estimators=40, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9564 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9564 | n_estimators=160, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9563 | n_estimators=80, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9563 | n_estimators=160, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9563 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.956 | n_estimators=80, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.956 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9559 | n_estimators=40, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.9556 | n_estimators=80, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9556 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9552 | n_estimators=40, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9546 | n_estimators=160, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9545 | n_estimators=40, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.954 | n_estimators=20, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9537 | n_estimators=40, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9536 | n_estimators=40, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9534 | n_estimators=40, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9532 | n_estimators=20, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.952 | n_estimators=160, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9519 | n_estimators=20, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9518 | n_estimators=20, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.951 | n_estimators=20, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.95 | n_estimators=80, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9497 | n_estimators=20, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9496 | n_estimators=10, criterion="entropy", min_samples_leaf=13, max_features="log2" | -| 0.948 | n_estimators=80, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9479 | n_estimators=20, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9474 | n_estimators=20, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.945 | n_estimators=40, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9446 | n_estimators=10, criterion="gini", min_samples_leaf=13, max_features="log2" | -| 0.9445 | n_estimators=10, criterion="entropy", min_samples_leaf=7, max_features="log2" | -| 0.9437 | n_estimators=10, criterion="entropy", min_samples_leaf=5, max_features="log2" | -| 0.9434 | n_estimators=10, criterion="gini", min_samples_leaf=7, max_features="log2" | -| 0.9407 | n_estimators=40, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.9398 | n_estimators=10, criterion="gini", min_samples_leaf=5, max_features="log2" | -| 0.9323 | n_estimators=10, criterion="gini", min_samples_leaf=3, max_features="log2" | -| 0.9316 | n_estimators=10, criterion="entropy", min_samples_leaf=3, max_features="log2" | -| 0.9303 | n_estimators=20, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.9235 | n_estimators=20, criterion="gini", min_samples_leaf=1, max_features="log2" | -| 0.8836 | n_estimators=10, criterion="entropy", min_samples_leaf=1, max_features="log2" | -| 0.8821 | n_estimators=10, criterion="gini", min_samples_leaf=1, max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9602 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="entropy" | +| 0.9601 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="entropy" | +| 0.96 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="entropy" | +| 0.96 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="entropy" | +| 0.9597 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="entropy" | +| 0.9594 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="entropy" | +| 0.9593 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="entropy" | +| 0.9593 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="entropy" | +| 0.9591 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="entropy" | +| 0.959 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="entropy" | +| 0.9588 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="entropy" | +| 0.9585 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="entropy" | +| 0.9584 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="entropy" | +| 0.9583 | max_features="log2", n_estimators=160, min_samples_leaf=7, criterion="gini" | +| 0.9583 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="entropy" | +| 0.9579 | max_features="log2", n_estimators=320, min_samples_leaf=5, criterion="gini" | +| 0.9578 | max_features="log2", n_estimators=640, min_samples_leaf=7, criterion="gini" | +| 0.9577 | max_features="log2", n_estimators=160, min_samples_leaf=5, criterion="gini" | +| 0.9576 | max_features="log2", n_estimators=640, min_samples_leaf=13, criterion="gini" | +| 0.9573 | max_features="log2", n_estimators=640, min_samples_leaf=5, criterion="gini" | +| 0.957 | max_features="log2", n_estimators=320, min_samples_leaf=7, criterion="gini" | +| 0.9569 | max_features="log2", n_estimators=640, min_samples_leaf=3, criterion="gini" | +| 0.9569 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="entropy" | +| 0.9569 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="entropy" | +| 0.9568 | max_features="log2", n_estimators=320, min_samples_leaf=13, criterion="gini" | +| 0.9566 | max_features="log2", n_estimators=160, min_samples_leaf=13, criterion="gini" | +| 0.9566 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="entropy" | +| 0.9566 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="entropy" | +| 0.9564 | max_features="log2", n_estimators=80, min_samples_leaf=13, criterion="gini" | +| 0.9564 | max_features="log2", n_estimators=320, min_samples_leaf=3, criterion="gini" | +| 0.9564 | max_features="log2", n_estimators=640, min_samples_leaf=1, criterion="gini" | +| 0.9561 | max_features="log2", n_estimators=160, min_samples_leaf=3, criterion="gini" | +| 0.9556 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="entropy" | +| 0.9555 | max_features="log2", n_estimators=40, min_samples_leaf=13, criterion="gini" | +| 0.9553 | max_features="log2", n_estimators=80, min_samples_leaf=7, criterion="gini" | +| 0.9546 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="gini" | +| 0.9542 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="gini" | +| 0.9541 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="gini" | +| 0.9539 | max_features="log2", n_estimators=40, min_samples_leaf=5, criterion="entropy" | +| 0.9537 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="entropy" | +| 0.9535 | max_features="log2", n_estimators=80, min_samples_leaf=3, criterion="gini" | +| 0.9531 | max_features="log2", n_estimators=40, min_samples_leaf=7, criterion="entropy" | +| 0.953 | max_features="log2", n_estimators=80, min_samples_leaf=5, criterion="gini" | +| 0.9529 | max_features="log2", n_estimators=320, min_samples_leaf=1, criterion="entropy" | +| 0.952 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="entropy" | +| 0.9515 | max_features="log2", n_estimators=20, min_samples_leaf=13, criterion="gini" | +| 0.9513 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="entropy" | +| 0.951 | max_features="log2", n_estimators=40, min_samples_leaf=3, criterion="gini" | +| 0.951 | max_features="log2", n_estimators=20, min_samples_leaf=7, criterion="gini" | +| 0.9509 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="entropy" | +| 0.9502 | max_features="log2", n_estimators=160, min_samples_leaf=1, criterion="gini" | +| 0.9497 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="entropy" | +| 0.9488 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="entropy" | +| 0.9482 | max_features="log2", n_estimators=80, min_samples_leaf=1, criterion="gini" | +| 0.9465 | max_features="log2", n_estimators=10, min_samples_leaf=13, criterion="gini" | +| 0.9441 | max_features="log2", n_estimators=20, min_samples_leaf=5, criterion="gini" | +| 0.9439 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="gini" | +| 0.9429 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="entropy" | +| 0.9424 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="gini" | +| 0.942 | max_features="log2", n_estimators=20, min_samples_leaf=3, criterion="entropy" | +| 0.9387 | max_features="log2", n_estimators=40, min_samples_leaf=1, criterion="gini" | +| 0.9372 | max_features="log2", n_estimators=10, min_samples_leaf=7, criterion="entropy" | +| 0.9311 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="entropy" | +| 0.9304 | max_features="log2", n_estimators=10, min_samples_leaf=5, criterion="gini" | +| 0.9258 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="entropy" | +| 0.9225 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="entropy" | +| 0.9218 | max_features="log2", n_estimators=20, min_samples_leaf=1, criterion="gini" | +| 0.9194 | max_features="log2", n_estimators=10, min_samples_leaf=3, criterion="gini" | +| 0.8897 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="gini" | +| 0.8797 | max_features="log2", n_estimators=10, min_samples_leaf=1, criterion="entropy" | -## GaussianNB -| roc_auc.labels.true | params | -|| - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9603 | n_estimators=700, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9598 | n_estimators=700, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.9596 | n_estimators=100, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.9593 | n_estimators=700, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.9591 | n_estimators=500, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.959 | n_estimators=700, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.9589 | n_estimators=300, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9588 | n_estimators=500, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.9586 | n_estimators=300, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.9584 | n_estimators=700, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9584 | n_estimators=500, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9583 | n_estimators=300, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.9581 | n_estimators=100, max_depth=3, learning_rate=0.1, max_features="log2" | -| 0.9581 | n_estimators=500, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.9573 | n_estimators=100, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.9572 | n_estimators=100, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.9571 | n_estimators=300, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.9571 | n_estimators=500, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.957 | n_estimators=700, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.9569 | n_estimators=300, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.9567 | n_estimators=500, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9566 | n_estimators=500, max_depth=5, learning_rate=0.1, max_features="log2" | -| 0.9564 | n_estimators=300, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.9559 | n_estimators=100, max_depth=7, learning_rate=0.01, max_features="log2" | -| 0.9559 | n_estimators=700, max_depth=1, learning_rate=0.5, max_features="log2" | -| 0.9558 | n_estimators=300, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.9547 | n_estimators=100, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.9542 | n_estimators=100, max_depth=5, learning_rate=0.01, max_features="log2" | -| 0.9538 | n_estimators=300, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9538 | n_estimators=100, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9536 | n_estimators=700, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.9534 | n_estimators=500, max_depth=7, learning_rate=0.1, max_features="log2" | -| 0.9523 | n_estimators=300, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9508 | n_estimators=700, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9496 | n_estimators=300, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.9489 | n_estimators=100, max_depth=3, learning_rate=0.01, max_features="log2" | -| 0.9484 | n_estimators=100, max_depth=1, learning_rate=0.1, max_features="log2" | -| 0.9482 | n_estimators=100, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.9482 | n_estimators=700, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.9475 | n_estimators=700, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.9464 | n_estimators=500, max_depth=1, learning_rate=1, max_features="log2" | -| 0.9464 | n_estimators=500, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.9463 | n_estimators=300, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.9453 | n_estimators=500, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.9451 | n_estimators=700, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.945 | n_estimators=500, max_depth=3, learning_rate=0.5, max_features="log2" | -| 0.9445 | n_estimators=300, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.9429 | n_estimators=300, max_depth=5, learning_rate=0.5, max_features="log2" | -| 0.9425 | n_estimators=500, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.9411 | n_estimators=700, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.9407 | n_estimators=100, max_depth=7, learning_rate=0.5, max_features="log2" | -| 0.9376 | n_estimators=100, max_depth=1, learning_rate=0.01, max_features="log2" | -| 0.9319 | n_estimators=300, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9257 | n_estimators=500, max_depth=3, learning_rate=1, max_features="log2" | -| 0.9254 | n_estimators=500, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9194 | n_estimators=300, max_depth=3, learning_rate=1, max_features="log2" | -| 0.9192 | n_estimators=700, max_depth=3, learning_rate=1, max_features="log2" | -| 0.9153 | n_estimators=100, max_depth=3, learning_rate=1, max_features="log2" | -| 0.9148 | n_estimators=100, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9131 | n_estimators=700, max_depth=7, learning_rate=1, max_features="log2" | -| 0.9114 | n_estimators=100, max_depth=5, learning_rate=1, max_features="log2" | -| 0.8149 | n_estimators=500, max_depth=5, learning_rate=1, max_features="log2" | -| 0.7319 | n_estimators=700, max_depth=5, learning_rate=1, max_features="log2" | -| 0.7177 | n_estimators=300, max_depth=5, learning_rate=1, max_features="log2" | +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9042 | | diff --git a/tuning_reports/ruwiki.damaging.md b/tuning_reports/ruwiki.damaging.md index 7e3638ca..ba8ba8d0 100644 --- a/tuning_reports/ruwiki.damaging.md +++ b/tuning_reports/ruwiki.damaging.md @@ -1,173 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.ruwiki.damaging -- Date: 2017-09-13T19:01:57.988670 -- Observations: 19680 +- Date: 2021-02-12T17:03:12.209640 +- Observations: 17947 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:-----------------------------------------------------------------------| -| GradientBoosting | 0.9313 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1 | -| GradientBoosting | 0.9309 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1 | -| GradientBoosting | 0.9309 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5 | -| GradientBoosting | 0.9308 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01 | -| GradientBoosting | 0.9308 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1 | -| GradientBoosting | 0.9304 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1 | -| GradientBoosting | 0.9302 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1 | -| GradientBoosting | 0.9301 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01 | -| GradientBoosting | 0.93 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5 | -| GradientBoosting | 0.9299 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01 | +| model | roc_auc.labels.true | params | +|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9286 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| GradientBoosting | 0.9285 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| RandomForestClassifier | 0.9283 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| GradientBoosting | 0.9282 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| GradientBoosting | 0.9281 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| RandomForestClassifier | 0.928 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| RandomForestClassifier | 0.928 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| GradientBoosting | 0.928 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| GradientBoosting | 0.9279 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| RandomForestClassifier | 0.9278 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=7 | # Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9225 | C=10, penalty="l1" | -| 0.9223 | C=0.1, penalty="l1" | -| 0.9217 | C=1, penalty="l1" | -| 0.6899 | C=1, penalty="l2" | -| 0.6829 | C=10, penalty="l2" | -| 0.6485 | C=0.1, penalty="l2" | - ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9292 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=7 | -| 0.9291 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=7 | -| 0.9291 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=3 | -| 0.9288 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=5 | -| 0.9287 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=13 | -| 0.9287 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=13 | -| 0.9286 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=5 | -| 0.9285 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=3 | -| 0.9285 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=7 | -| 0.9284 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=5 | -| 0.9284 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=3 | -| 0.9283 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=13 | -| 0.9281 | max_features="log2", n_estimators=320, criterion="gini", min_samples_leaf=13 | -| 0.9281 | max_features="log2", n_estimators=320, criterion="entropy", min_samples_leaf=5 | -| 0.928 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=13 | -| 0.9279 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=7 | -| 0.9279 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=5 | -| 0.9278 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=7 | -| 0.9277 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=13 | -| 0.9276 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=3 | -| 0.9275 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=3 | -| 0.9275 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=7 | -| 0.9274 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=13 | -| 0.9266 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=5 | -| 0.9265 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=5 | -| 0.9265 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=13 | -| 0.9262 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=7 | -| 0.9261 | max_features="log2", n_estimators=160, criterion="entropy", min_samples_leaf=1 | -| 0.926 | max_features="log2", n_estimators=160, criterion="gini", min_samples_leaf=1 | -| 0.9255 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=3 | -| 0.9251 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=5 | -| 0.925 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=13 | -| 0.9245 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=13 | -| 0.924 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=3 | -| 0.9239 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=7 | -| 0.9234 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=3 | -| 0.9223 | max_features="log2", n_estimators=80, criterion="gini", min_samples_leaf=1 | -| 0.9218 | max_features="log2", n_estimators=80, criterion="entropy", min_samples_leaf=1 | -| 0.9217 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=5 | -| 0.9215 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=7 | -| 0.9208 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=7 | -| 0.9201 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=5 | -| 0.9191 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=13 | -| 0.9172 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=3 | -| 0.9156 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=7 | -| 0.9147 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=13 | -| 0.9146 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=3 | -| 0.9138 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=7 | -| 0.913 | max_features="log2", n_estimators=40, criterion="entropy", min_samples_leaf=1 | -| 0.9117 | max_features="log2", n_estimators=40, criterion="gini", min_samples_leaf=1 | -| 0.9108 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=5 | -| 0.9087 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=5 | -| 0.9007 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=3 | -| 0.8992 | max_features="log2", n_estimators=20, criterion="entropy", min_samples_leaf=1 | -| 0.8947 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=3 | -| 0.89 | max_features="log2", n_estimators=20, criterion="gini", min_samples_leaf=1 | -| 0.8459 | max_features="log2", n_estimators=10, criterion="entropy", min_samples_leaf=1 | -| 0.8408 | max_features="log2", n_estimators=10, criterion="gini", min_samples_leaf=1 | +| 0.9283 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.928 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.928 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9278 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9275 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9272 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.9271 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.927 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.927 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9268 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.9268 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9266 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9265 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9265 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9264 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.926 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=5 | +| 0.9259 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=3 | +| 0.9259 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=7 | +| 0.9258 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.9257 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=7 | +| 0.9257 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=3 | +| 0.9255 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=7 | +| 0.9253 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.9252 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=5 | +| 0.9252 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=13 | +| 0.9252 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=5 | +| 0.925 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=13 | +| 0.925 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9249 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9248 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=7 | +| 0.9246 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=3 | +| 0.9244 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9243 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9243 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=13 | +| 0.9242 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=3 | +| 0.924 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=7 | +| 0.9239 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=13 | +| 0.9237 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=1 | +| 0.9233 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9233 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=5 | +| 0.923 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=1 | +| 0.9226 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9221 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=1 | +| 0.9214 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.9211 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=13 | +| 0.9207 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9207 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=5 | +| 0.9203 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=13 | +| 0.9195 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=3 | +| 0.9188 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=1 | +| 0.9182 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9172 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9171 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9169 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=7 | +| 0.9169 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.9164 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=5 | +| 0.9129 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.9127 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=13 | +| 0.9124 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.9118 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=3 | +| 0.9095 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=7 | +| 0.9073 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.9043 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=1 | +| 0.9034 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.9009 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=5 | +| 0.9001 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.8984 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=1 | +| 0.8962 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=3 | +| 0.8593 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=1 | +| 0.858 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=1 | -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9313 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9309 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9309 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9308 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9308 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9304 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9302 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9301 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.93 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9299 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9296 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9293 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9293 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9291 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.929 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1 | -| 0.9289 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9288 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5 | -| 0.9287 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9286 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9279 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9275 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9273 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9271 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9268 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9259 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9251 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9247 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01 | -| 0.9245 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9245 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9245 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9237 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01 | -| 0.9233 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9229 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=1 | -| 0.9227 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1 | -| 0.9224 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1 | -| 0.9213 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1 | -| 0.9208 | n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.918 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01 | -| 0.9169 | n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.9168 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9153 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9139 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9127 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5 | -| 0.9121 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9117 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9114 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9105 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9101 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5 | -| 0.9091 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.909 | n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.909 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5 | -| 0.9051 | n_estimators=100, max_features="log2", max_depth=3, learning_rate=1 | -| 0.9038 | n_estimators=500, max_features="log2", max_depth=3, learning_rate=1 | -| 0.9037 | n_estimators=500, max_features="log2", max_depth=5, learning_rate=1 | -| 0.9002 | n_estimators=700, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8994 | n_estimators=300, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8991 | n_estimators=700, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8977 | n_estimators=300, max_features="log2", max_depth=3, learning_rate=1 | -| 0.8975 | n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01 | -| 0.8975 | n_estimators=100, max_features="log2", max_depth=5, learning_rate=1 | -| 0.8941 | n_estimators=300, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8932 | n_estimators=100, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8929 | n_estimators=700, max_features="log2", max_depth=7, learning_rate=1 | -| 0.8926 | n_estimators=500, max_features="log2", max_depth=7, learning_rate=1 | +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8369 | C=0.1, penalty="l2" | +| 0.8361 | C=10, penalty="l2" | +| 0.8335 | C=1, penalty="l2" | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8944 | | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8418 | | +| 0.8424 | | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9286 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9285 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9282 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9281 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.928 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9279 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9278 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9277 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9277 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9276 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9275 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9275 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9275 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9275 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9274 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9274 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9273 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9272 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9271 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9271 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.927 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.927 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.927 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.927 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9269 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9268 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9267 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9267 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9267 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9267 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9266 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9266 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9266 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9266 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9265 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9265 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9265 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9265 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9264 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9264 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9263 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9263 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9263 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9263 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9263 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9263 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9263 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9262 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9262 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9262 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.9261 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9261 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_depth=1 | +| 0.926 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.926 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.926 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.926 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9259 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_depth=1 | +| 0.9259 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9259 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_depth=1 | +| 0.9258 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9258 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9256 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9256 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9255 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9254 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9254 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9253 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.9253 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.9253 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9252 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9252 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9251 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.925 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_depth=1 | +| 0.925 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_depth=1 | +| 0.9249 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_depth=3 | +| 0.9249 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9249 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9248 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9248 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_depth=3 | +| 0.9248 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9248 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9247 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9246 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.9246 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9246 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.9245 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9245 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_depth=3 | +| 0.9245 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9244 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9244 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_depth=3 | +| 0.9243 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9243 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9242 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9242 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.9241 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_depth=3 | +| 0.9239 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9238 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9238 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9238 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.9237 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9237 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9236 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9236 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9235 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9234 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9233 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.9232 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.9232 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.9231 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9229 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9228 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_depth=7 | +| 0.9227 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.9227 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.9226 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9225 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9225 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9224 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9223 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_depth=7 | +| 0.9223 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9221 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9221 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9221 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.922 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9219 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9218 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9217 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.9216 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.9216 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.9213 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_depth=7 | +| 0.9213 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.9212 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_depth=5 | +| 0.9211 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9211 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_depth=7 | +| 0.921 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_depth=7 | +| 0.921 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_depth=5 | +| 0.921 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_depth=5 | +| 0.921 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.921 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.921 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_depth=5 | +| 0.9208 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.9207 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_depth=5 | +| 0.9203 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.9199 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9199 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9197 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=13, max_depth=1 | +| 0.9197 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9197 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_depth=5 | +| 0.9196 | max_features="log2", n_estimators=300, learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9195 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_depth=5 | +| 0.9194 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_depth=5 | +| 0.9194 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.9194 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9194 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.9193 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_depth=5 | +| 0.9192 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9192 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_depth=5 | +| 0.9192 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9191 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.9191 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=7, max_depth=1 | +| 0.919 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=3, max_depth=1 | +| 0.9189 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9185 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=1, max_depth=1 | +| 0.9182 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9178 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9176 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=13, max_depth=1 | +| 0.9173 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=3, max_depth=1 | +| 0.9167 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=1, max_depth=1 | +| 0.9163 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=7, max_depth=1 | +| 0.9159 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=5, max_depth=1 | +| 0.9157 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9157 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.9157 | max_features="log2", n_estimators=100, learning_rate=0.1, min_samples_leaf=5, max_depth=1 | +| 0.9156 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9155 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9154 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.915 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9144 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9144 | max_features="log2", n_estimators=700, learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9144 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.9136 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_depth=3 | +| 0.9135 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_depth=3 | +| 0.9132 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9132 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9127 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_depth=3 | +| 0.9126 | max_features="log2", n_estimators=500, learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.9124 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.9124 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9122 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_depth=3 | +| 0.9122 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9121 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.912 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9119 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9119 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_depth=3 | +| 0.9114 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9113 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.911 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.9107 | max_features="log2", n_estimators=500, learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9103 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.9102 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9099 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.9094 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9088 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.9082 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.908 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_depth=3 | +| 0.9079 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9073 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_depth=3 | +| 0.9072 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_depth=3 | +| 0.9064 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.9064 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.9061 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.9058 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9057 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_depth=3 | +| 0.9056 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.9051 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_depth=3 | +| 0.9036 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=13, max_depth=7 | +| 0.9035 | max_features="log2", n_estimators=300, learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.9029 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.9014 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.9004 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=3, max_depth=7 | +| 0.9001 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8996 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=7, max_depth=7 | +| 0.8995 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=1, max_depth=1 | +| 0.8991 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.8987 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=5, max_depth=7 | +| 0.8984 | max_features="log2", n_estimators=700, learning_rate=0.1, min_samples_leaf=1, max_depth=7 | +| 0.8975 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=7, max_depth=1 | +| 0.8966 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.8965 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.8958 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.8957 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=13, max_depth=1 | +| 0.8945 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.8944 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.8941 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.8936 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=3, max_depth=1 | +| 0.8936 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.8935 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.8931 | max_features="log2", n_estimators=100, learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.8911 | max_features="log2", n_estimators=100, learning_rate=0.01, min_samples_leaf=5, max_depth=1 | +| 0.8905 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.8898 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8891 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.8876 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8873 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.887 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.8852 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.8831 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.8788 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.8764 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.8762 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.8735 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.8705 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.8704 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.8676 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.8661 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.8661 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8649 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=1, max_depth=3 | +| 0.8635 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.8597 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=5, max_depth=3 | +| 0.8588 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.8576 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.8573 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.8573 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.8571 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.857 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=3, max_depth=3 | +| 0.8562 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.8556 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.8555 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.8554 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.8549 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8546 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.8538 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.8531 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.8529 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_depth=7 | +| 0.8506 | max_features="log2", n_estimators=500, learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.8497 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_depth=7 | +| 0.8491 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_depth=5 | +| 0.8481 | max_features="log2", n_estimators=300, learning_rate=0.5, min_samples_leaf=7, max_depth=7 | +| 0.8481 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=13, max_depth=3 | +| 0.8473 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=5, max_depth=5 | +| 0.8472 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=7, max_depth=5 | +| 0.8463 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_depth=5 | +| 0.8459 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=1, max_depth=7 | +| 0.8441 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=3, max_depth=7 | +| 0.8408 | max_features="log2", n_estimators=700, learning_rate=0.5, min_samples_leaf=13, max_depth=5 | +| 0.8341 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.8331 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.8318 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.8288 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.8256 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.8247 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.8247 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.8241 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.8233 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.8231 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.8228 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.8225 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=3, max_depth=5 | +| 0.8206 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.8197 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.8186 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.8183 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=5, max_depth=7 | +| 0.8179 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.8176 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.8162 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.8157 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.8154 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=1, max_depth=5 | +| 0.8151 | max_features="log2", n_estimators=100, learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.8143 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=5, max_depth=5 | +| 0.8131 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=1, max_depth=7 | +| 0.8108 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.8092 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=3, max_depth=7 | +| 0.7999 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.7968 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=7, max_depth=5 | +| 0.7899 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.7857 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.7813 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.777 | max_features="log2", n_estimators=300, learning_rate=1, min_samples_leaf=13, max_depth=7 | +| 0.7741 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=7, max_depth=3 | +| 0.7724 | max_features="log2", n_estimators=700, learning_rate=1, min_samples_leaf=7, max_depth=7 | +| 0.7632 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=13, max_depth=5 | +| 0.7451 | max_features="log2", n_estimators=500, learning_rate=1, min_samples_leaf=5, max_depth=7 | diff --git a/tuning_reports/ruwiki.goodfaith.md b/tuning_reports/ruwiki.goodfaith.md index f46f028e..4deb1fed 100644 --- a/tuning_reports/ruwiki.goodfaith.md +++ b/tuning_reports/ruwiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.ruwiki.goodfaith -- Date: 2017-09-13T23:10:03.664973 -- Observations: 19680 +- Date: 2021-02-12T17:29:11.913834 +- Observations: 17947 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9302 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9299 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9293 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9292 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9288 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9286 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=320 | -| GradientBoosting | 0.9286 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | -| GradientBoosting | 0.9283 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | -| RandomForestClassifier | 0.9282 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| GradientBoosting | 0.9282 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| RandomForestClassifier | 0.9335 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| RandomForestClassifier | 0.9335 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| RandomForestClassifier | 0.9334 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| RandomForestClassifier | 0.933 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| GradientBoosting | 0.9327 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| RandomForestClassifier | 0.9327 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| GradientBoosting | 0.9325 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| RandomForestClassifier | 0.9323 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| GradientBoosting | 0.9322 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| RandomForestClassifier | 0.9322 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | # Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9129 | penalty="l1", C=1 | -| 0.912 | penalty="l1", C=0.1 | -| 0.9115 | penalty="l1", C=10 | -| 0.574 | penalty="l2", C=0.1 | -| 0.5409 | penalty="l2", C=10 | -| 0.5314 | penalty="l2", C=1 | +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8486 | | -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9302 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=320 | -| 0.9299 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| 0.9293 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=320 | -| 0.9292 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=320 | -| 0.9288 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9286 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=320 | -| 0.9282 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9281 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9275 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=320 | -| 0.9273 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9271 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=320 | -| 0.9268 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.9267 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=320 | -| 0.9264 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.9262 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9256 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9253 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=320 | -| 0.9253 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9251 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.9245 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9243 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9241 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9237 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=320 | -| 0.9234 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9232 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9228 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9226 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.9225 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9225 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9224 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9224 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.9221 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.9214 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.92 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.9196 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.9188 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.918 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9175 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9159 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.9154 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.9154 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.9128 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.9127 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9122 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.9114 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9108 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.9101 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.9077 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9077 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9037 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.9023 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=10 | -| 0.9009 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=10 | -| 0.8926 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.8861 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.8829 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.88 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.8571 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.8547 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.8081 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=10 | -| 0.8 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=10 | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9327 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9325 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9322 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9319 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9317 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9317 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9316 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9314 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9314 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9314 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9313 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9312 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.931 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.931 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9309 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9309 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9309 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9307 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9307 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9307 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9306 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9306 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9306 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9305 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9305 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9305 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9304 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9303 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9303 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9303 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9302 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9302 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9302 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9302 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9301 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9301 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9301 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.93 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9299 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9299 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9299 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9297 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9297 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9296 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9295 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9295 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9294 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9294 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9294 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9292 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9292 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9291 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.929 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.929 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9289 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9289 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9288 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9288 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9288 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9287 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9287 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9287 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9285 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9285 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9284 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9284 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9284 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9282 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.928 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9279 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9279 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9279 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9279 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9279 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9278 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9277 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9277 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9276 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9276 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9276 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9274 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9274 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9273 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9273 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9272 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9271 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9271 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.927 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.927 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9269 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9268 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9266 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9266 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9266 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9265 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9265 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9265 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9264 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9264 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9263 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9263 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9262 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9262 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.926 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9259 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9258 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9256 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9254 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9254 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9253 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9253 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9251 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9249 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9249 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9248 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9248 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9247 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9246 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9246 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9245 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9244 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9243 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9243 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.924 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9238 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9237 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9236 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9236 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9236 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9235 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9232 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9231 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9231 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9226 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9226 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9224 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9221 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9219 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9219 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9217 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9217 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9217 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9213 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9213 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9211 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9208 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9208 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9205 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9204 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9203 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9198 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9197 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9196 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9193 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9192 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9192 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9192 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.919 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9188 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9186 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9185 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9184 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9184 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.9183 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9182 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.918 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9174 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9171 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.917 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.9169 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9167 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9164 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.9158 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9158 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.9153 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9147 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.9147 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9146 | n_estimators=500, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.9143 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.9141 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9139 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9129 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9128 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.9123 | n_estimators=700, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.9121 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9118 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9118 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9117 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.9116 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.9108 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.9097 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9097 | n_estimators=300, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9084 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9064 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9056 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.9053 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9041 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.9036 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=1, learning_rate=0.01 | +| 0.9036 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=3, learning_rate=0.01 | +| 0.9036 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=5, learning_rate=0.01 | +| 0.9026 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.9001 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=7, learning_rate=0.01 | +| 0.9 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.9 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8994 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8958 | n_estimators=100, max_depth=1, max_features="log2", min_samples_leaf=13, learning_rate=0.01 | +| 0.8953 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8949 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8947 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.8937 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8935 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8924 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.8873 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8862 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8852 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.8851 | n_estimators=100, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.8842 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.8832 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.88 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8783 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8779 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.8762 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.8739 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.8711 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8702 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8649 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.8545 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.8532 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.8501 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8473 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8468 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8466 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8463 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.1 | +| 0.8456 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.1 | +| 0.8442 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.1 | +| 0.8441 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.8428 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8426 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.8409 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8402 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.8392 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.1 | +| 0.8384 | n_estimators=300, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8369 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8358 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8332 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.1 | +| 0.8325 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.83 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8295 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.8262 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.825 | n_estimators=100, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.82 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.8195 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8177 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8176 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8173 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8169 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8158 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.8132 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.813 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.813 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.8124 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8111 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.811 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8107 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8097 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8093 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8084 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8083 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8076 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=0.5 | +| 0.8076 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8065 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.8063 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8062 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8058 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8055 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.8053 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=0.5 | +| 0.8051 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=0.5 | +| 0.8041 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=0.5 | +| 0.8003 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=0.5 | +| 0.7997 | n_estimators=500, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7877 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.785 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.7809 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7807 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7798 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.7786 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7775 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7773 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.7773 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7748 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.7742 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7739 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7733 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7717 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7712 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7712 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7709 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.7703 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.769 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.7689 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7677 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7674 | n_estimators=700, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7665 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7654 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7653 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.7639 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.7628 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.7605 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.76 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7597 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7591 | n_estimators=300, max_depth=5, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.758 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=1, learning_rate=1 | +| 0.7527 | n_estimators=300, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7525 | n_estimators=100, max_depth=7, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.7511 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=13, learning_rate=1 | +| 0.7434 | n_estimators=700, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.7415 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=5, learning_rate=1 | +| 0.7341 | n_estimators=500, max_depth=5, max_features="log2", min_samples_leaf=7, learning_rate=1 | +| 0.725 | n_estimators=500, max_depth=7, max_features="log2", min_samples_leaf=3, learning_rate=1 | +| 0.7144 | n_estimators=700, max_depth=3, max_features="log2", min_samples_leaf=3, learning_rate=1 | -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8375 | | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8189 | C=1, penalty="l2" | +| 0.8159 | C=10, penalty="l2" | +| 0.8155 | C=0.1, penalty="l2" | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8206 | | -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9286 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9283 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | -| 0.9282 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9281 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9279 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9276 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9274 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9273 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9272 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9271 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9264 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9263 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9259 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9254 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9253 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9253 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9251 | learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | -| 0.925 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9248 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9247 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9237 | learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9234 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | -| 0.923 | learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9224 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9223 | learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9223 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9219 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9218 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9215 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9209 | learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9203 | learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9199 | learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9198 | learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9193 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9184 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9177 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | -| 0.9166 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | -| 0.9155 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9151 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | -| 0.9134 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | -| 0.9123 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | -| 0.9118 | learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | -| 0.9101 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | -| 0.9084 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | -| 0.9074 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | -| 0.9069 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | -| 0.9067 | learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | -| 0.9066 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | -| 0.9041 | learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | -| 0.9037 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | -| 0.9035 | learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | -| 0.9009 | learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | -| 0.8987 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | -| 0.8972 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | -| 0.8967 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | -| 0.8944 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | -| 0.8928 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | -| 0.8915 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | -| 0.8906 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | -| 0.89 | learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | -| 0.8886 | learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | -| 0.8879 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | -| 0.8835 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | -| 0.8778 | learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9335 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9335 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9334 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.933 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9327 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9323 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9322 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.932 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9317 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9316 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9315 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9313 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9309 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9308 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9308 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9305 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9305 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9303 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9303 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9299 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9297 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9297 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9297 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9292 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.929 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.929 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9289 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9287 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9286 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9285 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9284 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9283 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9279 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9278 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9276 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9268 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9263 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9259 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9254 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.925 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.924 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9239 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9238 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.923 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9221 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.921 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.921 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9207 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.9207 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9203 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9192 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.9188 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.9181 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | +| 0.9174 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.9148 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | +| 0.9143 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.9111 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | +| 0.9099 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.9079 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.9072 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | +| 0.8991 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.898 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8979 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | +| 0.8972 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | +| 0.8873 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | +| 0.8864 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | +| 0.8745 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8724 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | +| 0.8122 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | +| 0.8111 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | diff --git a/tuning_reports/sqwiki.damaging.md b/tuning_reports/sqwiki.damaging.md index f2f1afee..a5b623ac 100644 --- a/tuning_reports/sqwiki.damaging.md +++ b/tuning_reports/sqwiki.damaging.md @@ -1,8 +1,8 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.sqwiki.damaging -- Date: 2017-09-14T08:58:46.480030 -- Observations: 19978 +- Date: 2021-02-12T17:53:56.781678 +- Observations: 19543 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 @@ -10,166 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.true | params | |:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9567 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9559 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9553 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9553 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="gini" | -| RandomForestClassifier | 0.9553 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9552 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9552 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.955 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.955 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="entropy" | -| RandomForestClassifier | 0.9546 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="gini" | +| RandomForestClassifier | 0.9559 | criterion="entropy", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| RandomForestClassifier | 0.9536 | criterion="entropy", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| RandomForestClassifier | 0.9534 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| RandomForestClassifier | 0.9533 | criterion="entropy", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| RandomForestClassifier | 0.9533 | criterion="entropy", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| RandomForestClassifier | 0.9532 | criterion="entropy", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| RandomForestClassifier | 0.9531 | criterion="entropy", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| RandomForestClassifier | 0.9531 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| RandomForestClassifier | 0.9528 | criterion="entropy", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| RandomForestClassifier | 0.9528 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | # Models -## GaussianNB -| roc_auc.labels.true | params | -|| +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9559 | criterion="entropy", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.9536 | criterion="entropy", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.9534 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.9533 | criterion="entropy", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.9533 | criterion="entropy", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.9532 | criterion="entropy", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.9531 | criterion="entropy", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.9531 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.9528 | criterion="entropy", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.9528 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.9527 | criterion="entropy", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.9527 | criterion="entropy", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.9526 | criterion="entropy", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.9523 | criterion="entropy", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.9522 | criterion="entropy", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.9521 | criterion="entropy", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.9519 | criterion="gini", n_estimators=640, min_samples_leaf=13, max_features="log2" | +| 0.9519 | criterion="gini", n_estimators=640, min_samples_leaf=7, max_features="log2" | +| 0.9517 | criterion="gini", n_estimators=320, min_samples_leaf=7, max_features="log2" | +| 0.9516 | criterion="gini", n_estimators=640, min_samples_leaf=3, max_features="log2" | +| 0.9516 | criterion="gini", n_estimators=640, min_samples_leaf=5, max_features="log2" | +| 0.9515 | criterion="gini", n_estimators=320, min_samples_leaf=13, max_features="log2" | +| 0.9514 | criterion="gini", n_estimators=160, min_samples_leaf=13, max_features="log2" | +| 0.9511 | criterion="gini", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.9505 | criterion="entropy", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.9504 | criterion="entropy", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.9503 | criterion="gini", n_estimators=80, min_samples_leaf=7, max_features="log2" | +| 0.9501 | criterion="gini", n_estimators=160, min_samples_leaf=7, max_features="log2" | +| 0.9501 | criterion="gini", n_estimators=40, min_samples_leaf=7, max_features="log2" | +| 0.95 | criterion="gini", n_estimators=640, min_samples_leaf=1, max_features="log2" | +| 0.95 | criterion="gini", n_estimators=40, min_samples_leaf=13, max_features="log2" | +| 0.95 | criterion="gini", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.9498 | criterion="entropy", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.9498 | criterion="gini", n_estimators=320, min_samples_leaf=3, max_features="log2" | +| 0.9497 | criterion="gini", n_estimators=320, min_samples_leaf=5, max_features="log2" | +| 0.9495 | criterion="gini", n_estimators=80, min_samples_leaf=13, max_features="log2" | +| 0.9492 | criterion="gini", n_estimators=160, min_samples_leaf=5, max_features="log2" | +| 0.9488 | criterion="entropy", n_estimators=80, min_samples_leaf=5, max_features="log2" | +| 0.9487 | criterion="entropy", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.9486 | criterion="entropy", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.9483 | criterion="gini", n_estimators=160, min_samples_leaf=3, max_features="log2" | +| 0.9481 | criterion="entropy", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.9481 | criterion="gini", n_estimators=320, min_samples_leaf=1, max_features="log2" | +| 0.948 | criterion="gini", n_estimators=20, min_samples_leaf=13, max_features="log2" | +| 0.9473 | criterion="entropy", n_estimators=80, min_samples_leaf=3, max_features="log2" | +| 0.9465 | criterion="gini", n_estimators=40, min_samples_leaf=5, max_features="log2" | +| 0.9465 | criterion="entropy", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.9452 | criterion="gini", n_estimators=160, min_samples_leaf=1, max_features="log2" | +| 0.9442 | criterion="entropy", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.9435 | criterion="entropy", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.9433 | criterion="entropy", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.9419 | criterion="gini", n_estimators=20, min_samples_leaf=5, max_features="log2" | +| 0.9415 | criterion="gini", n_estimators=20, min_samples_leaf=7, max_features="log2" | +| 0.9414 | criterion="gini", n_estimators=40, min_samples_leaf=3, max_features="log2" | +| 0.941 | criterion="gini", n_estimators=80, min_samples_leaf=1, max_features="log2" | +| 0.94 | criterion="gini", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.9389 | criterion="gini", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.9377 | criterion="entropy", n_estimators=10, min_samples_leaf=7, max_features="log2" | +| 0.9376 | criterion="entropy", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.9372 | criterion="gini", n_estimators=10, min_samples_leaf=13, max_features="log2" | +| 0.9371 | criterion="entropy", n_estimators=20, min_samples_leaf=3, max_features="log2" | +| 0.9362 | criterion="gini", n_estimators=10, min_samples_leaf=5, max_features="log2" | +| 0.9358 | criterion="entropy", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.9306 | criterion="gini", n_estimators=40, min_samples_leaf=1, max_features="log2" | +| 0.9289 | criterion="gini", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.9266 | criterion="gini", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.9221 | criterion="entropy", n_estimators=10, min_samples_leaf=3, max_features="log2" | +| 0.9167 | criterion="entropy", n_estimators=20, min_samples_leaf=1, max_features="log2" | +| 0.8912 | criterion="gini", n_estimators=10, min_samples_leaf=1, max_features="log2" | +| 0.8859 | criterion="entropy", n_estimators=10, min_samples_leaf=1, max_features="log2" | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9356 | penalty="l1", C=1 | -| 0.9354 | penalty="l1", C=0.1 | -| 0.9345 | penalty="l1", C=10 | -| 0.8743 | penalty="l2", C=10 | -| 0.8578 | penalty="l2", C=1 | -| 0.8415 | penalty="l2", C=0.1 | +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9522 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9521 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9519 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9515 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9514 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9511 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9511 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9511 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.951 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9509 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9509 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9508 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9508 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9508 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9508 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9507 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9506 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9506 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9506 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9506 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9505 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9505 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9505 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9505 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9504 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9504 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9503 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9501 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9501 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9501 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9501 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9501 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9501 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.95 | max_depth=7, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.95 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9499 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9499 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9498 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9497 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9497 | max_depth=5, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9496 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9494 | max_depth=5, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9494 | max_depth=5, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9492 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.949 | max_depth=7, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.949 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9489 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9489 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9488 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9487 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9487 | max_depth=5, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9487 | max_depth=5, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9486 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9484 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9483 | max_depth=7, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9483 | max_depth=7, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.948 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9479 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9478 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9478 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9477 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9477 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9476 | max_depth=3, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9475 | max_depth=7, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9473 | max_depth=3, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9472 | max_depth=3, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9471 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9468 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9467 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9465 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9463 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9463 | max_depth=3, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9462 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9459 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9459 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9459 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9458 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9457 | max_depth=3, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9456 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9456 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9454 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9453 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9453 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9453 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9453 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9452 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9451 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.945 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9449 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9448 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9447 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9446 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9446 | max_depth=1, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9446 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9445 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9445 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9444 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9444 | max_depth=1, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9444 | max_depth=1, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9443 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9442 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.944 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.944 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.944 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.944 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9439 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9439 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9435 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=700, max_features="log2" | +| 0.9432 | max_depth=1, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9432 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9432 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9431 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9427 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9426 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9425 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9424 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9423 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9423 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9423 | max_depth=1, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9422 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9421 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9419 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9418 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9418 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9418 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9417 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=100, max_features="log2" | +| 0.9415 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=500, max_features="log2" | +| 0.9415 | max_depth=3, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9415 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9414 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9413 | max_depth=3, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9413 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.941 | max_depth=3, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9407 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9407 | max_depth=3, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9406 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9404 | max_depth=1, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9403 | max_depth=1, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9402 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9401 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.94 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9399 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9398 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9395 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9393 | max_depth=1, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9392 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.939 | max_depth=1, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9388 | max_depth=1, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9385 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9383 | max_depth=3, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9382 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9381 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.938 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9379 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9378 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9377 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9373 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9371 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9367 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=300, max_features="log2" | +| 0.9366 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.9365 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9359 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9356 | max_depth=1, min_samples_leaf=3, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9356 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9354 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9354 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9352 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9347 | max_depth=5, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9346 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9343 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9342 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9341 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9339 | max_depth=5, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9338 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=300, max_features="log2" | +| 0.9337 | max_depth=1, min_samples_leaf=7, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9335 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9334 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.9332 | max_depth=5, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9331 | max_depth=1, min_samples_leaf=5, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.933 | max_depth=1, min_samples_leaf=13, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9326 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9323 | max_depth=5, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.932 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9318 | max_depth=1, min_samples_leaf=1, learning_rate=0.01, n_estimators=100, max_features="log2" | +| 0.9312 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.9303 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9301 | max_depth=1, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9299 | max_depth=1, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9291 | max_depth=5, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.9291 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.928 | max_depth=1, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9271 | max_depth=1, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9268 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9267 | max_depth=1, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.9253 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9249 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9231 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9196 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9191 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9172 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9155 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9139 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9122 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9115 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9112 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9104 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9102 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.91 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.9093 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.9074 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9073 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9066 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9057 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.9006 | max_depth=3, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.9002 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=500, max_features="log2" | +| 0.9001 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.8966 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8965 | max_depth=7, min_samples_leaf=13, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.8948 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8946 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.894 | max_depth=3, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8936 | max_depth=3, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8926 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.8913 | max_depth=3, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8893 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.8881 | max_depth=3, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8868 | max_depth=7, min_samples_leaf=7, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.8845 | max_depth=7, min_samples_leaf=3, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.8839 | max_depth=7, min_samples_leaf=5, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.8834 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.878 | max_depth=7, min_samples_leaf=1, learning_rate=0.1, n_estimators=700, max_features="log2" | +| 0.8772 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8766 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=100, max_features="log2" | +| 0.8736 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8732 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8692 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8665 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8664 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8653 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8624 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8612 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8583 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8554 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.854 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8518 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8502 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8502 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8496 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8479 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8474 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8472 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8444 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8443 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8442 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.844 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=300, max_features="log2" | +| 0.8434 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.843 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8419 | max_depth=5, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8402 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8392 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8382 | max_depth=5, min_samples_leaf=3, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8371 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8368 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8363 | max_depth=7, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.836 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8347 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8345 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8344 | max_depth=5, min_samples_leaf=13, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8309 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8309 | max_depth=5, min_samples_leaf=5, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8308 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.828 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8278 | max_depth=3, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8259 | max_depth=7, min_samples_leaf=3, learning_rate=0.5, n_estimators=500, max_features="log2" | +| 0.8247 | max_depth=7, min_samples_leaf=7, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8244 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8241 | max_depth=3, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8237 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8236 | max_depth=5, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8235 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8189 | max_depth=7, min_samples_leaf=1, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8188 | max_depth=3, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8176 | max_depth=7, min_samples_leaf=5, learning_rate=0.5, n_estimators=700, max_features="log2" | +| 0.8164 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8108 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8092 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.8056 | max_depth=3, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.8055 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8033 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.802 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8012 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.8008 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.8002 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7992 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=100, max_features="log2" | +| 0.7985 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.795 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7926 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7909 | max_depth=7, min_samples_leaf=1, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7904 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7903 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7898 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.786 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7846 | max_depth=5, min_samples_leaf=5, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.7806 | max_depth=5, min_samples_leaf=1, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.776 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7754 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7745 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7714 | max_depth=3, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.761 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.757 | max_depth=7, min_samples_leaf=5, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7552 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.7408 | max_depth=7, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.7293 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.729 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.7232 | max_depth=7, min_samples_leaf=3, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.723 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.7209 | max_depth=7, min_samples_leaf=7, learning_rate=1, n_estimators=300, max_features="log2" | +| 0.7171 | max_depth=5, min_samples_leaf=3, learning_rate=1, n_estimators=700, max_features="log2" | +| 0.6997 | max_depth=5, min_samples_leaf=13, learning_rate=1, n_estimators=500, max_features="log2" | +| 0.6385 | max_depth=5, min_samples_leaf=7, learning_rate=1, n_estimators=700, max_features="log2" | -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8848 | | +| 0.9425 | | -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9537 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9533 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9533 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9532 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9527 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.9521 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.952 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | -| 0.952 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9516 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9513 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9513 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9508 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9507 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | -| 0.9496 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9477 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9476 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9474 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9473 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.947 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | -| 0.9461 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9458 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9452 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | -| 0.9451 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9448 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.9439 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9437 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9433 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | -| 0.943 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | -| 0.9424 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9411 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.941 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9408 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | -| 0.9404 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9402 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9394 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | -| 0.9378 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9369 | n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9359 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9357 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9353 | n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9318 | n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | -| 0.9303 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.93 | n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | -| 0.9298 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.929 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9283 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9275 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9274 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9248 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.9244 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | -| 0.9244 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | -| 0.923 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | -| 0.9158 | n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | -| 0.9155 | n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | -| 0.9058 | n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | -| 0.9053 | n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | -| 0.9031 | n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | -| 0.9018 | n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | -| 0.9016 | n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | -| 0.901 | n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | -| 0.8987 | n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | -| 0.887 | n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | -| 0.8855 | n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | -| 0.859 | n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8803 | | -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9567 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="entropy" | -| 0.9559 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="entropy" | -| 0.9553 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="gini" | -| 0.9553 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="gini" | -| 0.9553 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="entropy" | -| 0.9552 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="entropy" | -| 0.9552 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="entropy" | -| 0.955 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="entropy" | -| 0.955 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="entropy" | -| 0.9546 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="gini" | -| 0.9545 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="entropy" | -| 0.9544 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="gini" | -| 0.9544 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="gini" | -| 0.9544 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="gini" | -| 0.9541 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="gini" | -| 0.9539 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="entropy" | -| 0.9539 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="gini" | -| 0.9539 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="gini" | -| 0.9536 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9536 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="entropy" | -| 0.9536 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.9536 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9535 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="gini" | -| 0.9533 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="entropy" | -| 0.9533 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="gini" | -| 0.953 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="entropy" | -| 0.9523 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9521 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9519 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="entropy" | -| 0.9519 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="gini" | -| 0.9515 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9505 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="gini" | -| 0.9504 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9504 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="entropy" | -| 0.9502 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9492 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9492 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9491 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.9483 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="gini" | -| 0.9478 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9474 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="gini" | -| 0.9473 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9473 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="entropy" | -| 0.9465 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9465 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.9448 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="gini" | -| 0.9437 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="gini" | -| 0.9436 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="gini" | -| 0.9434 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.9425 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="gini" | -| 0.9422 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9399 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="entropy" | -| 0.939 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="gini" | -| 0.936 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.9336 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="gini" | -| 0.9259 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="gini" | -| 0.9209 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="entropy" | -| 0.9185 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="gini" | -| 0.88 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="entropy" | -| 0.8732 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="gini" | +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.9262 | penalty="l2", C=1 | +| 0.9248 | penalty="l2", C=10 | +| 0.9247 | penalty="l2", C=0.1 | diff --git a/tuning_reports/sqwiki.goodfaith.md b/tuning_reports/sqwiki.goodfaith.md index 130ae0e0..ac46e725 100644 --- a/tuning_reports/sqwiki.goodfaith.md +++ b/tuning_reports/sqwiki.goodfaith.md @@ -1,175 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.sqwiki.goodfaith -- Date: 2017-09-14T13:25:13.213392 -- Observations: 19978 +- Date: 2021-02-12T18:18:10.350565 +- Observations: 19543 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9438 | min_samples_leaf=13, n_estimators=320, criterion="gini", max_features="log2" | -| RandomForestClassifier | 0.9437 | min_samples_leaf=13, n_estimators=160, criterion="gini", max_features="log2" | -| RandomForestClassifier | 0.9432 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9428 | min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9419 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9416 | min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9415 | min_samples_leaf=7, n_estimators=160, criterion="gini", max_features="log2" | -| RandomForestClassifier | 0.9414 | min_samples_leaf=7, n_estimators=320, criterion="gini", max_features="log2" | -| GradientBoosting | 0.9413 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | -| RandomForestClassifier | 0.9412 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9464 | | +| RandomForestClassifier | 0.9398 | min_samples_leaf=13, max_features="log2", n_estimators=80, criterion="entropy" | +| RandomForestClassifier | 0.9396 | min_samples_leaf=7, max_features="log2", n_estimators=640, criterion="entropy" | +| RandomForestClassifier | 0.9394 | min_samples_leaf=13, max_features="log2", n_estimators=40, criterion="entropy" | +| RandomForestClassifier | 0.939 | min_samples_leaf=7, max_features="log2", n_estimators=320, criterion="entropy" | +| RandomForestClassifier | 0.9388 | min_samples_leaf=13, max_features="log2", n_estimators=320, criterion="entropy" | +| RandomForestClassifier | 0.9388 | min_samples_leaf=5, max_features="log2", n_estimators=320, criterion="entropy" | +| GradientBoosting | 0.9384 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_depth=3, max_features="log2" | +| GradientBoosting | 0.9383 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_depth=3, max_features="log2" | +| GradientBoosting | 0.9383 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_depth=3, max_features="log2" | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9413 | max_depth=5, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9411 | max_depth=7, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9411 | max_depth=5, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9411 | max_depth=7, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.94 | max_depth=7, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.94 | max_depth=3, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9398 | max_depth=3, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9391 | max_depth=5, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9389 | max_depth=5, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9384 | max_depth=3, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9374 | max_depth=5, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9374 | max_depth=1, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.937 | max_depth=7, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9366 | max_depth=1, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9366 | max_depth=3, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9363 | max_depth=1, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.935 | max_depth=3, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9326 | max_depth=1, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.932 | max_depth=3, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9319 | max_depth=1, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9316 | max_depth=3, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9314 | max_depth=1, n_estimators=700, learning_rate=0.01, max_features="log2" | -| 0.9311 | max_depth=7, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9306 | max_depth=5, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9305 | max_depth=1, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.93 | max_depth=1, n_estimators=100, learning_rate=0.1, max_features="log2" | -| 0.9296 | max_depth=3, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9291 | max_depth=1, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.9288 | max_depth=1, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.9281 | max_depth=1, n_estimators=500, learning_rate=0.01, max_features="log2" | -| 0.9263 | max_depth=5, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.925 | max_depth=1, n_estimators=300, learning_rate=0.01, max_features="log2" | -| 0.9237 | max_depth=5, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.9221 | max_depth=3, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9216 | max_depth=1, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.9202 | max_depth=7, n_estimators=300, learning_rate=0.1, max_features="log2" | -| 0.9199 | max_depth=7, n_estimators=700, learning_rate=0.1, max_features="log2" | -| 0.919 | max_depth=1, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.919 | max_depth=1, n_estimators=100, learning_rate=0.01, max_features="log2" | -| 0.9177 | max_depth=7, n_estimators=500, learning_rate=0.1, max_features="log2" | -| 0.9154 | max_depth=1, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.9024 | max_depth=5, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.9006 | max_depth=5, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.8981 | max_depth=3, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.8951 | max_depth=5, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.895 | max_depth=7, n_estimators=100, learning_rate=0.5, max_features="log2" | -| 0.8928 | max_depth=3, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.8919 | max_depth=5, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.8917 | max_depth=7, n_estimators=500, learning_rate=0.5, max_features="log2" | -| 0.8902 | max_depth=3, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.8881 | max_depth=7, n_estimators=300, learning_rate=0.5, max_features="log2" | -| 0.8853 | max_depth=7, n_estimators=700, learning_rate=0.5, max_features="log2" | -| 0.8736 | max_depth=3, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.8732 | max_depth=5, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.8692 | max_depth=3, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.856 | max_depth=7, n_estimators=100, learning_rate=1, max_features="log2" | -| 0.8481 | max_depth=7, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.8453 | max_depth=3, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.8448 | max_depth=5, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.8231 | max_depth=5, n_estimators=700, learning_rate=1, max_features="log2" | -| 0.7945 | max_depth=3, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.7787 | max_depth=5, n_estimators=300, learning_rate=1, max_features="log2" | -| 0.7704 | max_depth=7, n_estimators=500, learning_rate=1, max_features="log2" | -| 0.7407 | max_depth=7, n_estimators=300, learning_rate=1, max_features="log2" | - ## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9258 | penalty="l1", C=0.1 | -| 0.9256 | penalty="l1", C=1 | -| 0.9256 | penalty="l1", C=10 | -| 0.8651 | penalty="l2", C=0.1 | -| 0.8618 | penalty="l2", C=10 | -| 0.8577 | penalty="l2", C=1 | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9438 | min_samples_leaf=13, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9437 | min_samples_leaf=13, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9432 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9428 | min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9419 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9416 | min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9415 | min_samples_leaf=7, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9414 | min_samples_leaf=7, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9412 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9403 | min_samples_leaf=5, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9402 | min_samples_leaf=3, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9402 | min_samples_leaf=5, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.94 | min_samples_leaf=13, n_estimators=80, criterion="gini", max_features="log2" | -| 0.94 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9399 | min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9399 | min_samples_leaf=7, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9396 | min_samples_leaf=5, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9396 | min_samples_leaf=5, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9395 | min_samples_leaf=3, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9391 | min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.939 | min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9385 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9382 | min_samples_leaf=5, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9378 | min_samples_leaf=7, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9377 | min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9375 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9374 | min_samples_leaf=1, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9374 | min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9371 | min_samples_leaf=3, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9367 | min_samples_leaf=3, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9362 | min_samples_leaf=1, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9358 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9354 | min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9352 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9345 | min_samples_leaf=1, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9345 | min_samples_leaf=1, n_estimators=160, criterion="gini", max_features="log2" | -| 0.934 | min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.934 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9336 | min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9327 | min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9323 | min_samples_leaf=1, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9323 | min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9295 | min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9285 | min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9271 | min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9262 | min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9254 | min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.924 | min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9223 | min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9202 | min_samples_leaf=1, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9179 | min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9163 | min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9149 | min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9099 | min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9065 | min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.8976 | min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8891 | min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2" | -| 0.8819 | min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.8432 | min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8356 | min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2" | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.9056 | C=0.1, penalty="l2" | +| 0.9036 | C=1, penalty="l2" | +| 0.9014 | C=10, penalty="l2" | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9464 | | ## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8724 | | +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.8729 | | + +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9398 | min_samples_leaf=13, max_features="log2", n_estimators=80, criterion="entropy" | +| 0.9396 | min_samples_leaf=7, max_features="log2", n_estimators=640, criterion="entropy" | +| 0.9394 | min_samples_leaf=13, max_features="log2", n_estimators=40, criterion="entropy" | +| 0.939 | min_samples_leaf=7, max_features="log2", n_estimators=320, criterion="entropy" | +| 0.9388 | min_samples_leaf=13, max_features="log2", n_estimators=320, criterion="entropy" | +| 0.9388 | min_samples_leaf=5, max_features="log2", n_estimators=320, criterion="entropy" | +| 0.9383 | min_samples_leaf=13, max_features="log2", n_estimators=640, criterion="entropy" | +| 0.9381 | min_samples_leaf=5, max_features="log2", n_estimators=640, criterion="entropy" | +| 0.9379 | min_samples_leaf=7, max_features="log2", n_estimators=80, criterion="entropy" | +| 0.9378 | min_samples_leaf=3, max_features="log2", n_estimators=640, criterion="entropy" | +| 0.9378 | min_samples_leaf=13, max_features="log2", n_estimators=160, criterion="entropy" | +| 0.9374 | min_samples_leaf=3, max_features="log2", n_estimators=320, criterion="entropy" | +| 0.9373 | min_samples_leaf=7, max_features="log2", n_estimators=160, criterion="entropy" | +| 0.9371 | min_samples_leaf=13, max_features="log2", n_estimators=320, criterion="gini" | +| 0.9364 | min_samples_leaf=5, max_features="log2", n_estimators=640, criterion="gini" | +| 0.9364 | min_samples_leaf=3, max_features="log2", n_estimators=160, criterion="entropy" | +| 0.9363 | min_samples_leaf=5, max_features="log2", n_estimators=320, criterion="gini" | +| 0.9363 | min_samples_leaf=13, max_features="log2", n_estimators=160, criterion="gini" | +| 0.9362 | min_samples_leaf=13, max_features="log2", n_estimators=640, criterion="gini" | +| 0.936 | min_samples_leaf=7, max_features="log2", n_estimators=320, criterion="gini" | +| 0.936 | min_samples_leaf=7, max_features="log2", n_estimators=160, criterion="gini" | +| 0.9358 | min_samples_leaf=5, max_features="log2", n_estimators=160, criterion="entropy" | +| 0.9356 | min_samples_leaf=7, max_features="log2", n_estimators=640, criterion="gini" | +| 0.9352 | min_samples_leaf=7, max_features="log2", n_estimators=80, criterion="gini" | +| 0.935 | min_samples_leaf=13, max_features="log2", n_estimators=80, criterion="gini" | +| 0.9348 | min_samples_leaf=5, max_features="log2", n_estimators=80, criterion="entropy" | +| 0.9341 | min_samples_leaf=7, max_features="log2", n_estimators=40, criterion="entropy" | +| 0.934 | min_samples_leaf=7, max_features="log2", n_estimators=40, criterion="gini" | +| 0.9339 | min_samples_leaf=5, max_features="log2", n_estimators=40, criterion="entropy" | +| 0.9337 | min_samples_leaf=5, max_features="log2", n_estimators=80, criterion="gini" | +| 0.9335 | min_samples_leaf=3, max_features="log2", n_estimators=320, criterion="gini" | +| 0.9332 | min_samples_leaf=1, max_features="log2", n_estimators=640, criterion="entropy" | +| 0.9329 | min_samples_leaf=1, max_features="log2", n_estimators=640, criterion="gini" | +| 0.9326 | min_samples_leaf=13, max_features="log2", n_estimators=40, criterion="gini" | +| 0.9324 | min_samples_leaf=13, max_features="log2", n_estimators=20, criterion="entropy" | +| 0.9321 | min_samples_leaf=1, max_features="log2", n_estimators=320, criterion="entropy" | +| 0.9319 | min_samples_leaf=5, max_features="log2", n_estimators=160, criterion="gini" | +| 0.9319 | min_samples_leaf=3, max_features="log2", n_estimators=640, criterion="gini" | +| 0.931 | min_samples_leaf=1, max_features="log2", n_estimators=320, criterion="gini" | +| 0.9305 | min_samples_leaf=3, max_features="log2", n_estimators=80, criterion="entropy" | +| 0.9298 | min_samples_leaf=1, max_features="log2", n_estimators=160, criterion="entropy" | +| 0.9297 | min_samples_leaf=7, max_features="log2", n_estimators=20, criterion="entropy" | +| 0.9295 | min_samples_leaf=3, max_features="log2", n_estimators=160, criterion="gini" | +| 0.9282 | min_samples_leaf=13, max_features="log2", n_estimators=20, criterion="gini" | +| 0.9281 | min_samples_leaf=5, max_features="log2", n_estimators=40, criterion="gini" | +| 0.9274 | min_samples_leaf=3, max_features="log2", n_estimators=40, criterion="entropy" | +| 0.9273 | min_samples_leaf=7, max_features="log2", n_estimators=20, criterion="gini" | +| 0.9265 | min_samples_leaf=13, max_features="log2", n_estimators=10, criterion="entropy" | +| 0.9261 | min_samples_leaf=5, max_features="log2", n_estimators=20, criterion="gini" | +| 0.9256 | min_samples_leaf=3, max_features="log2", n_estimators=40, criterion="gini" | +| 0.925 | min_samples_leaf=3, max_features="log2", n_estimators=80, criterion="gini" | +| 0.9249 | min_samples_leaf=1, max_features="log2", n_estimators=160, criterion="gini" | +| 0.9245 | min_samples_leaf=1, max_features="log2", n_estimators=80, criterion="gini" | +| 0.9238 | min_samples_leaf=5, max_features="log2", n_estimators=20, criterion="entropy" | +| 0.9233 | min_samples_leaf=1, max_features="log2", n_estimators=80, criterion="entropy" | +| 0.9219 | min_samples_leaf=7, max_features="log2", n_estimators=10, criterion="gini" | +| 0.9203 | min_samples_leaf=13, max_features="log2", n_estimators=10, criterion="gini" | +| 0.9195 | min_samples_leaf=3, max_features="log2", n_estimators=20, criterion="entropy" | +| 0.919 | min_samples_leaf=3, max_features="log2", n_estimators=20, criterion="gini" | +| 0.9147 | min_samples_leaf=5, max_features="log2", n_estimators=10, criterion="entropy" | +| 0.9124 | min_samples_leaf=1, max_features="log2", n_estimators=40, criterion="entropy" | +| 0.9109 | min_samples_leaf=7, max_features="log2", n_estimators=10, criterion="entropy" | +| 0.9084 | min_samples_leaf=1, max_features="log2", n_estimators=40, criterion="gini" | +| 0.9081 | min_samples_leaf=5, max_features="log2", n_estimators=10, criterion="gini" | +| 0.9025 | min_samples_leaf=3, max_features="log2", n_estimators=10, criterion="gini" | +| 0.8974 | min_samples_leaf=3, max_features="log2", n_estimators=10, criterion="entropy" | +| 0.8863 | min_samples_leaf=1, max_features="log2", n_estimators=20, criterion="gini" | +| 0.8811 | min_samples_leaf=1, max_features="log2", n_estimators=20, criterion="entropy" | +| 0.8519 | min_samples_leaf=1, max_features="log2", n_estimators=10, criterion="entropy" | +| 0.8324 | min_samples_leaf=1, max_features="log2", n_estimators=10, criterion="gini" | + +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9384 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9383 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9383 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9382 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9381 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.938 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.938 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9379 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9377 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9376 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9376 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9374 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9374 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9374 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9372 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.937 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.937 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9369 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9368 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9368 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9367 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9365 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9365 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9365 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9363 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9363 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9362 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9361 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.936 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9359 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9359 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9358 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9358 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9357 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9356 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9356 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9355 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9353 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9353 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9353 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9352 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9351 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.935 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.935 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.935 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9349 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9349 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9349 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9349 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9348 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9348 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9348 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9347 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9346 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9345 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9345 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9344 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9341 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9341 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9341 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.934 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9339 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9338 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9337 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9336 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9336 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9335 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9335 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9334 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9332 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9329 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9328 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9328 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_depth=5, max_features="log2" | +| 0.9326 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9326 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9325 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9324 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9323 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9319 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9319 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9319 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9317 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9317 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9317 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_depth=7, max_features="log2" | +| 0.9316 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9314 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9314 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9314 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9311 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9311 | n_estimators=700, min_samples_leaf=13, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.931 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9308 | n_estimators=700, min_samples_leaf=5, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9306 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_depth=1, max_features="log2" | +| 0.9299 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9299 | n_estimators=700, min_samples_leaf=7, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9297 | n_estimators=700, min_samples_leaf=1, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9296 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9294 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9293 | n_estimators=100, min_samples_leaf=13, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.9293 | n_estimators=700, min_samples_leaf=3, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9287 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9287 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9286 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_depth=3, max_features="log2" | +| 0.9286 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9284 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9283 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9283 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9281 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9279 | n_estimators=500, min_samples_leaf=5, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9275 | n_estimators=500, min_samples_leaf=13, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9274 | n_estimators=500, min_samples_leaf=1, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9271 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9269 | n_estimators=500, min_samples_leaf=7, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9268 | n_estimators=500, min_samples_leaf=3, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9265 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9258 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9253 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9252 | n_estimators=100, min_samples_leaf=7, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.9252 | n_estimators=300, min_samples_leaf=3, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9251 | n_estimators=100, min_samples_leaf=1, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.925 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9249 | n_estimators=300, min_samples_leaf=7, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9247 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9244 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9241 | n_estimators=300, min_samples_leaf=13, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.924 | n_estimators=100, min_samples_leaf=3, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.9238 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9237 | n_estimators=100, min_samples_leaf=5, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.9236 | n_estimators=300, min_samples_leaf=1, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9235 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9232 | n_estimators=300, min_samples_leaf=5, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9227 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9213 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9213 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9212 | n_estimators=100, min_samples_leaf=1, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9211 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9211 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9209 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9209 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9208 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9206 | n_estimators=100, min_samples_leaf=7, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9205 | n_estimators=100, min_samples_leaf=5, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9205 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9204 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9204 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9198 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_depth=1, max_features="log2" | +| 0.9192 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9189 | n_estimators=100, min_samples_leaf=13, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9189 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_depth=1, max_features="log2" | +| 0.918 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9175 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9175 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9174 | n_estimators=100, min_samples_leaf=3, learning_rate=0.01, max_depth=1, max_features="log2" | +| 0.9172 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.917 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9164 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9156 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9149 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9148 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9148 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9136 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9127 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9117 | n_estimators=300, min_samples_leaf=13, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.9107 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_depth=3, max_features="log2" | +| 0.9105 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9102 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9099 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9084 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9073 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9066 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9055 | n_estimators=300, min_samples_leaf=7, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.9043 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9037 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9035 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9032 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9025 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9022 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9021 | n_estimators=300, min_samples_leaf=5, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.9004 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_depth=1, max_features="log2" | +| 0.9002 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.9002 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_depth=1, max_features="log2" | +| 0.8997 | n_estimators=300, min_samples_leaf=3, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8987 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8985 | n_estimators=300, min_samples_leaf=1, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8974 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.8973 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.8969 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_depth=1, max_features="log2" | +| 0.8959 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8951 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.895 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.8946 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_depth=1, max_features="log2" | +| 0.8904 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.8848 | n_estimators=500, min_samples_leaf=13, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8845 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8836 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8809 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_depth=5, max_features="log2" | +| 0.8781 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8778 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8762 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8762 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8753 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.874 | n_estimators=500, min_samples_leaf=7, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8704 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8692 | n_estimators=500, min_samples_leaf=3, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8671 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8664 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8656 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_depth=3, max_features="log2" | +| 0.864 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_depth=3, max_features="log2" | +| 0.863 | n_estimators=100, min_samples_leaf=13, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.8627 | n_estimators=500, min_samples_leaf=5, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8623 | n_estimators=500, min_samples_leaf=1, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8599 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8591 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8553 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_depth=3, max_features="log2" | +| 0.8521 | n_estimators=700, min_samples_leaf=13, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8503 | n_estimators=100, min_samples_leaf=5, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.8489 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8478 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8478 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8432 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8421 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8413 | n_estimators=100, min_samples_leaf=7, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.8412 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8408 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8408 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8406 | n_estimators=700, min_samples_leaf=3, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8395 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_depth=3, max_features="log2" | +| 0.8369 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8364 | n_estimators=700, min_samples_leaf=7, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8362 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_depth=3, max_features="log2" | +| 0.8304 | n_estimators=100, min_samples_leaf=3, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.8303 | n_estimators=700, min_samples_leaf=1, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8301 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8285 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8263 | n_estimators=700, min_samples_leaf=5, learning_rate=0.1, max_depth=7, max_features="log2" | +| 0.8249 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_depth=3, max_features="log2" | +| 0.8143 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_depth=3, max_features="log2" | +| 0.8136 | n_estimators=100, min_samples_leaf=1, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.8086 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8063 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.8058 | n_estimators=300, min_samples_leaf=13, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.8038 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_depth=3, max_features="log2" | +| 0.8037 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7984 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_depth=5, max_features="log2" | +| 0.796 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7937 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7902 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7855 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7852 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7851 | n_estimators=300, min_samples_leaf=3, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7845 | n_estimators=700, min_samples_leaf=13, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7828 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7823 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7821 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7818 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7805 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7805 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7803 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7802 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7797 | n_estimators=300, min_samples_leaf=1, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7793 | n_estimators=500, min_samples_leaf=13, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7788 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7786 | n_estimators=300, min_samples_leaf=5, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7781 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7774 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7768 | n_estimators=300, min_samples_leaf=7, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7751 | n_estimators=700, min_samples_leaf=5, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7749 | n_estimators=500, min_samples_leaf=1, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7747 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7745 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7744 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7743 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7726 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7722 | n_estimators=100, min_samples_leaf=13, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7713 | n_estimators=500, min_samples_leaf=7, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7696 | n_estimators=500, min_samples_leaf=5, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7681 | n_estimators=500, min_samples_leaf=3, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7616 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.758 | n_estimators=700, min_samples_leaf=7, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7569 | n_estimators=100, min_samples_leaf=3, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7559 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7539 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.7523 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7507 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7507 | n_estimators=700, min_samples_leaf=3, learning_rate=0.5, max_depth=5, max_features="log2" | +| 0.7481 | n_estimators=700, min_samples_leaf=1, learning_rate=0.5, max_depth=7, max_features="log2" | +| 0.744 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7397 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7381 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_depth=3, max_features="log2" | +| 0.7371 | n_estimators=100, min_samples_leaf=1, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7314 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7312 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7287 | n_estimators=300, min_samples_leaf=3, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7286 | n_estimators=100, min_samples_leaf=5, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7265 | n_estimators=100, min_samples_leaf=7, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7166 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7137 | n_estimators=500, min_samples_leaf=5, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7128 | n_estimators=500, min_samples_leaf=1, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7121 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7106 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_depth=5, max_features="log2" | +| 0.709 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_depth=7, max_features="log2" | +| 0.709 | n_estimators=300, min_samples_leaf=1, learning_rate=1, max_depth=7, max_features="log2" | +| 0.7071 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7055 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_depth=5, max_features="log2" | +| 0.7021 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_depth=5, max_features="log2" | +| 0.6998 | n_estimators=500, min_samples_leaf=3, learning_rate=1, max_depth=5, max_features="log2" | +| 0.6988 | n_estimators=300, min_samples_leaf=13, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6986 | n_estimators=300, min_samples_leaf=5, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6946 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_depth=5, max_features="log2" | +| 0.6898 | n_estimators=500, min_samples_leaf=13, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6879 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6773 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_depth=3, max_features="log2" | +| 0.6756 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_depth=3, max_features="log2" | +| 0.6703 | n_estimators=700, min_samples_leaf=5, learning_rate=1, max_depth=7, max_features="log2" | +| 0.669 | n_estimators=700, min_samples_leaf=7, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6579 | n_estimators=500, min_samples_leaf=7, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6546 | n_estimators=300, min_samples_leaf=7, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6523 | n_estimators=700, min_samples_leaf=1, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6501 | n_estimators=700, min_samples_leaf=3, learning_rate=1, max_depth=7, max_features="log2" | +| 0.6054 | n_estimators=700, min_samples_leaf=13, learning_rate=1, max_depth=5, max_features="log2" | diff --git a/tuning_reports/srwiki.damaging.md b/tuning_reports/srwiki.damaging.md index 496483b4..bd78bde7 100644 --- a/tuning_reports/srwiki.damaging.md +++ b/tuning_reports/srwiki.damaging.md @@ -1,186 +1,439 @@ # Model tuning report -- Revscoring version: 2.2.3 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.srwiki.damaging -- Date: 2018-05-23T18:11:56.222375 -- Observations: 118840 +- Date: 2021-02-12T18:46:53.638209 +- Observations: 118983 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9824 | max_depth=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| RandomForestClassifier | 0.982 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9819 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9819 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9817 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9816 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9816 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9815 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9815 | max_depth=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| RandomForestClassifier | 0.9814 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.984 | learning_rate=0.01, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9837 | learning_rate=0.01, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9836 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9836 | learning_rate=0.01, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9835 | learning_rate=0.01, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9835 | learning_rate=0.1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| GradientBoosting | 0.9835 | learning_rate=0.01, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9834 | learning_rate=0.01, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| GradientBoosting | 0.9834 | learning_rate=0.01, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| GradientBoosting | 0.9833 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | # Models ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.982 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9819 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9819 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9817 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9816 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9816 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9815 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9814 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9811 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9811 | n_estimators=640, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9809 | n_estimators=640, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9807 | n_estimators=640, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9807 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9806 | n_estimators=640, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9806 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9806 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9805 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9802 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.98 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9798 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9798 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9795 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9795 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9793 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9793 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9792 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9791 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9787 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9787 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9783 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9783 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9781 | n_estimators=640, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9773 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9766 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9766 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9766 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9759 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9753 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.975 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9748 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9748 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9746 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9741 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.974 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.974 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9722 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9695 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9694 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9673 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9668 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9666 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9651 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9647 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9641 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9641 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9625 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9588 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9567 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9555 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.951 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9494 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9416 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9403 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9366 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9309 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9284 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9144 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9125 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.862 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8532 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | - -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.7358 | | +| 0.9828 | criterion="entropy", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9827 | criterion="entropy", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9827 | criterion="entropy", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.9826 | criterion="entropy", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9821 | criterion="entropy", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9821 | criterion="gini", min_samples_leaf=13, n_estimators=640, max_features="log2" | +| 0.982 | criterion="gini", min_samples_leaf=13, n_estimators=320, max_features="log2" | +| 0.9817 | criterion="entropy", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.9816 | criterion="entropy", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9815 | criterion="gini", min_samples_leaf=7, n_estimators=640, max_features="log2" | +| 0.9813 | criterion="entropy", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9813 | criterion="gini", min_samples_leaf=5, n_estimators=640, max_features="log2" | +| 0.9812 | criterion="gini", min_samples_leaf=5, n_estimators=320, max_features="log2" | +| 0.9811 | criterion="gini", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9811 | criterion="entropy", min_samples_leaf=13, n_estimators=160, max_features="log2" | +| 0.9809 | criterion="gini", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9804 | criterion="entropy", min_samples_leaf=13, n_estimators=80, max_features="log2" | +| 0.9802 | criterion="gini", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9801 | criterion="gini", min_samples_leaf=7, n_estimators=320, max_features="log2" | +| 0.98 | criterion="gini", min_samples_leaf=3, n_estimators=640, max_features="log2" | +| 0.9798 | criterion="gini", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9797 | criterion="entropy", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9793 | criterion="gini", min_samples_leaf=5, n_estimators=160, max_features="log2" | +| 0.9787 | criterion="entropy", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.9783 | criterion="entropy", min_samples_leaf=3, n_estimators=320, max_features="log2" | +| 0.9783 | criterion="gini", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9779 | criterion="entropy", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9777 | criterion="entropy", min_samples_leaf=7, n_estimators=80, max_features="log2" | +| 0.9774 | criterion="entropy", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9774 | criterion="entropy", min_samples_leaf=13, n_estimators=40, max_features="log2" | +| 0.9773 | criterion="gini", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9769 | criterion="entropy", min_samples_leaf=1, n_estimators=640, max_features="log2" | +| 0.9769 | criterion="gini", min_samples_leaf=7, n_estimators=160, max_features="log2" | +| 0.9754 | criterion="gini", min_samples_leaf=5, n_estimators=80, max_features="log2" | +| 0.9739 | criterion="gini", min_samples_leaf=3, n_estimators=160, max_features="log2" | +| 0.9731 | criterion="entropy", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9727 | criterion="entropy", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.9715 | criterion="gini", min_samples_leaf=1, n_estimators=320, max_features="log2" | +| 0.9714 | criterion="entropy", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9703 | criterion="gini", min_samples_leaf=7, n_estimators=40, max_features="log2" | +| 0.9701 | criterion="entropy", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9697 | criterion="gini", min_samples_leaf=3, n_estimators=80, max_features="log2" | +| 0.9683 | criterion="entropy", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9678 | criterion="gini", min_samples_leaf=13, n_estimators=20, max_features="log2" | +| 0.967 | criterion="gini", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9667 | criterion="gini", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.9661 | criterion="entropy", min_samples_leaf=5, n_estimators=40, max_features="log2" | +| 0.9655 | criterion="entropy", min_samples_leaf=7, n_estimators=20, max_features="log2" | +| 0.962 | criterion="gini", min_samples_leaf=1, n_estimators=160, max_features="log2" | +| 0.9614 | criterion="entropy", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.9596 | criterion="entropy", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.9564 | criterion="gini", min_samples_leaf=13, n_estimators=10, max_features="log2" | +| 0.9558 | criterion="gini", min_samples_leaf=3, n_estimators=40, max_features="log2" | +| 0.9558 | criterion="gini", min_samples_leaf=5, n_estimators=20, max_features="log2" | +| 0.9517 | criterion="entropy", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.9516 | criterion="gini", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.9464 | criterion="entropy", min_samples_leaf=7, n_estimators=10, max_features="log2" | +| 0.946 | criterion="entropy", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.9432 | criterion="gini", min_samples_leaf=3, n_estimators=20, max_features="log2" | +| 0.9419 | criterion="gini", min_samples_leaf=1, n_estimators=80, max_features="log2" | +| 0.937 | criterion="entropy", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.9334 | criterion="gini", min_samples_leaf=5, n_estimators=10, max_features="log2" | +| 0.9268 | criterion="gini", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.9158 | criterion="entropy", min_samples_leaf=1, n_estimators=40, max_features="log2" | +| 0.9137 | criterion="entropy", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.9089 | criterion="gini", min_samples_leaf=3, n_estimators=10, max_features="log2" | +| 0.8857 | criterion="gini", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8817 | criterion="entropy", min_samples_leaf=1, n_estimators=20, max_features="log2" | +| 0.8367 | criterion="entropy", min_samples_leaf=1, n_estimators=10, max_features="log2" | +| 0.8269 | criterion="gini", min_samples_leaf=1, n_estimators=10, max_features="log2" | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.969 | penalty="l1", C=0.1 | -| 0.9651 | penalty="l1", C=1 | -| 0.9359 | penalty="l1", C=10 | -| 0.8291 | penalty="l2", C=0.1 | -| 0.8176 | penalty="l2", C=10 | -| 0.8073 | penalty="l2", C=1 | +| 0.8235 | penalty="l2", C=1 | +| 0.8183 | penalty="l2", C=10 | +| 0.8096 | penalty="l2", C=0.1 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.9283 | | +| 0.9373 | | ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9824 | max_depth=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9815 | max_depth=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9813 | max_depth=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9811 | max_depth=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.981 | max_depth=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9809 | max_depth=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9805 | max_depth=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9802 | max_depth=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9802 | max_depth=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.98 | max_depth=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.98 | max_depth=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9799 | max_depth=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9798 | max_depth=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9798 | max_depth=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9797 | max_depth=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9794 | max_depth=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.979 | max_depth=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9785 | max_depth=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9783 | max_depth=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9782 | max_depth=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9779 | max_depth=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9778 | max_depth=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9774 | max_depth=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9772 | max_depth=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9769 | max_depth=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9751 | max_depth=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9739 | max_depth=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9734 | max_depth=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9708 | max_depth=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9707 | max_depth=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9705 | max_depth=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.966 | max_depth=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9648 | max_depth=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.963 | max_depth=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9624 | max_depth=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9617 | max_depth=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9594 | max_depth=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9428 | max_depth=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9404 | max_depth=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.935 | max_depth=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9312 | max_depth=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.8959 | max_depth=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.8935 | max_depth=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.8733 | max_depth=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8654 | max_depth=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.8504 | max_depth=3, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.843 | max_depth=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.8416 | max_depth=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.8374 | max_depth=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.8263 | max_depth=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.8224 | max_depth=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.8 | max_depth=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.7804 | max_depth=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7734 | max_depth=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7707 | max_depth=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7706 | max_depth=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.7615 | max_depth=7, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7512 | max_depth=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.7304 | max_depth=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.6946 | max_depth=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6901 | max_depth=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.6786 | max_depth=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.6602 | max_depth=3, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.6567 | max_depth=7, learning_rate=1, n_estimators=500, max_features="log2" | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.984 | learning_rate=0.01, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9837 | learning_rate=0.01, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9836 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9836 | learning_rate=0.01, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9835 | learning_rate=0.01, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9835 | learning_rate=0.1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9835 | learning_rate=0.01, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9834 | learning_rate=0.01, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9834 | learning_rate=0.01, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9833 | learning_rate=0.01, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9833 | learning_rate=0.01, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9833 | learning_rate=0.01, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9832 | learning_rate=0.01, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9832 | learning_rate=0.01, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.9832 | learning_rate=0.01, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9832 | learning_rate=0.01, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.9831 | learning_rate=0.01, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.983 | learning_rate=0.01, min_samples_leaf=3, n_estimators=300, 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learning_rate=0.1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9654 | learning_rate=0.01, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=1 | +| 0.9639 | learning_rate=0.5, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=3 | +| 0.9635 | learning_rate=0.1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9625 | learning_rate=0.1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9623 | learning_rate=0.1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.9567 | learning_rate=0.1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9551 | learning_rate=0.5, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=3 | +| 0.9546 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=1 | +| 0.9544 | learning_rate=0.1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9538 | learning_rate=0.5, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=3 | +| 0.9537 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=1 | +| 0.9509 | learning_rate=0.1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9507 | learning_rate=0.5, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=3 | +| 0.9505 | learning_rate=0.1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9499 | learning_rate=0.1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9483 | learning_rate=0.1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9467 | learning_rate=0.1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9453 | learning_rate=0.1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9451 | learning_rate=0.1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=7 | +| 0.9447 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=1 | +| 0.9406 | learning_rate=0.1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.9383 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=1 | +| 0.9368 | learning_rate=0.5, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=3 | +| 0.936 | learning_rate=0.5, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9341 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=1 | +| 0.9332 | learning_rate=0.5, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9253 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=1 | +| 0.916 | learning_rate=0.5, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9131 | learning_rate=0.5, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=3 | +| 0.9127 | learning_rate=0.5, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=3 | +| 0.9078 | learning_rate=0.5, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| 0.9044 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=1 | +| 0.9032 | learning_rate=0.5, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=5 | +| 0.9022 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8991 | learning_rate=0.1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8984 | learning_rate=0.5, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8965 | learning_rate=0.1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8956 | learning_rate=0.5, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8954 | learning_rate=0.1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8944 | learning_rate=0.5, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8923 | learning_rate=0.5, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8895 | learning_rate=0.5, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8886 | learning_rate=0.5, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8861 | learning_rate=0.1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8853 | learning_rate=0.5, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8819 | learning_rate=0.5, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8812 | learning_rate=0.1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8714 | learning_rate=0.5, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=3 | +| 0.8712 | learning_rate=0.5, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8674 | learning_rate=0.1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8673 | learning_rate=0.1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8663 | learning_rate=0.1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8651 | learning_rate=0.1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8625 | learning_rate=0.1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8602 | learning_rate=0.5, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=5 | +| 0.8511 | learning_rate=0.5, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=7 | +| 0.841 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8402 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8384 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=3 | +| 0.83 | learning_rate=0.5, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8298 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8293 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8286 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=3 | +| 0.8285 | learning_rate=0.5, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8269 | learning_rate=1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8262 | learning_rate=0.5, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=5 | +| 0.8245 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8236 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=1 | +| 0.8218 | learning_rate=0.5, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=5 | +| 0.821 | learning_rate=0.5, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.8194 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8171 | learning_rate=0.5, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.8138 | learning_rate=0.5, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=7 | +| 0.8128 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.8112 | learning_rate=0.5, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=5 | +| 0.811 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=5 | +| 0.8106 | learning_rate=0.5, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8101 | learning_rate=0.5, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.8096 | learning_rate=0.5, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8086 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=1 | +| 0.8063 | learning_rate=0.5, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.8043 | learning_rate=0.5, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=5 | +| 0.8034 | learning_rate=0.5, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=7 | +| 0.8026 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=3 | +| 0.8017 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=3 | +| 0.8002 | learning_rate=1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=3 | +| 0.7999 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=3 | +| 0.7979 | learning_rate=1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=3 | +| 0.797 | learning_rate=0.5, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | +| 0.7955 | learning_rate=0.5, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.7933 | learning_rate=0.5, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.7903 | learning_rate=1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=5 | +| 0.7891 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=3 | +| 0.7886 | learning_rate=0.5, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=7 | +| 0.7886 | learning_rate=0.5, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.7878 | learning_rate=0.5, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| 0.784 | learning_rate=0.5, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.7831 | learning_rate=0.5, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=7 | +| 0.7823 | learning_rate=1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=5 | +| 0.7804 | learning_rate=0.5, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=7 | +| 0.7791 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=1 | +| 0.7776 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=3 | +| 0.7771 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=1 | +| 0.7757 | learning_rate=0.5, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.7712 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=3 | +| 0.7709 | learning_rate=0.5, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.77 | learning_rate=0.5, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.7699 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=3 | +| 0.7677 | learning_rate=0.5, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=7 | +| 0.7671 | learning_rate=0.5, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=7 | +| 0.7643 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=5 | +| 0.7601 | learning_rate=1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=5 | +| 0.7565 | learning_rate=1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=7 | +| 0.7524 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=5 | +| 0.7494 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=5 | +| 0.7458 | learning_rate=0.5, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.7457 | learning_rate=1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=3 | +| 0.7432 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.7421 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=3 | +| 0.7378 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=5 | +| 0.7366 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=5 | +| 0.733 | learning_rate=0.5, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.7323 | learning_rate=1, min_samples_leaf=3, n_estimators=100, max_features="log2", max_depth=7 | +| 0.728 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=5 | +| 0.7256 | learning_rate=0.5, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=7 | +| 0.7251 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=3 | +| 0.7208 | learning_rate=1, min_samples_leaf=1, n_estimators=100, max_features="log2", max_depth=7 | +| 0.7166 | learning_rate=0.5, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=7 | +| 0.7148 | learning_rate=1, min_samples_leaf=13, n_estimators=100, max_features="log2", max_depth=7 | +| 0.712 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=7 | +| 0.7048 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=3 | +| 0.7011 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=5 | +| 0.697 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=3 | +| 0.6851 | learning_rate=1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=7 | +| 0.6816 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=5 | +| 0.6715 | learning_rate=1, min_samples_leaf=1, n_estimators=300, max_features="log2", max_depth=5 | +| 0.6709 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=5 | +| 0.6707 | learning_rate=1, min_samples_leaf=3, n_estimators=300, max_features="log2", max_depth=7 | +| 0.6638 | learning_rate=1, min_samples_leaf=13, n_estimators=300, max_features="log2", max_depth=7 | +| 0.6624 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=7 | +| 0.6585 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=7 | +| 0.6523 | learning_rate=1, min_samples_leaf=7, n_estimators=500, max_features="log2", max_depth=7 | +| 0.6521 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=5 | +| 0.647 | learning_rate=1, min_samples_leaf=7, n_estimators=300, max_features="log2", max_depth=7 | +| 0.6453 | learning_rate=1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=3 | +| 0.6409 | learning_rate=1, min_samples_leaf=5, n_estimators=100, max_features="log2", max_depth=7 | +| 0.6323 | learning_rate=1, min_samples_leaf=3, n_estimators=700, max_features="log2", max_depth=3 | +| 0.6273 | learning_rate=1, min_samples_leaf=13, n_estimators=500, max_features="log2", max_depth=5 | +| 0.6266 | learning_rate=1, min_samples_leaf=5, n_estimators=300, max_features="log2", max_depth=5 | +| 0.6236 | learning_rate=1, min_samples_leaf=13, n_estimators=700, max_features="log2", max_depth=5 | +| 0.6214 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=7 | +| 0.6014 | learning_rate=1, min_samples_leaf=7, n_estimators=100, max_features="log2", max_depth=7 | +| 0.5973 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=7 | +| 0.5921 | learning_rate=1, min_samples_leaf=1, n_estimators=700, max_features="log2", max_depth=7 | +| 0.5879 | learning_rate=1, min_samples_leaf=3, n_estimators=500, max_features="log2", max_depth=5 | +| 0.5856 | learning_rate=1, min_samples_leaf=1, n_estimators=500, max_features="log2", max_depth=7 | +| 0.5763 | learning_rate=1, min_samples_leaf=7, n_estimators=700, max_features="log2", max_depth=7 | +| 0.5612 | learning_rate=1, min_samples_leaf=5, n_estimators=500, max_features="log2", max_depth=5 | +| 0.5548 | learning_rate=1, min_samples_leaf=5, n_estimators=700, max_features="log2", max_depth=5 | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.7545 | | diff --git a/tuning_reports/srwiki.goodfaith.md b/tuning_reports/srwiki.goodfaith.md index 4514293e..0eb040e3 100644 --- a/tuning_reports/srwiki.goodfaith.md +++ b/tuning_reports/srwiki.goodfaith.md @@ -1,185 +1,439 @@ # Model tuning report -- Revscoring version: 2.4.0 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.srwiki.goodfaith -- Date: 2019-05-29T18:27:00.533705 -- Observations: 119869 +- Date: 2021-02-12T21:56:41.987941 +- Observations: 118983 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9882 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| RandomForestClassifier | 0.988 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.988 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.9879 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.9879 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=7 | -| RandomForestClassifier | 0.9876 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.9876 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=13 | -| RandomForestClassifier | 0.9874 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=5 | -| RandomForestClassifier | 0.9874 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | -| GradientBoosting | 0.9873 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9877 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2" | +| RandomForestClassifier | 0.9876 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | +| RandomForestClassifier | 0.9874 | min_samples_leaf=13, n_estimators=320, criterion="gini", max_features="log2" | +| RandomForestClassifier | 0.9874 | min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2" | +| GradientBoosting | 0.9874 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2" | +| GradientBoosting | 0.9874 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2" | +| GradientBoosting | 0.9873 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2" | +| GradientBoosting | 0.9873 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2" | +| GradientBoosting | 0.9872 | learning_rate=0.01, n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2" | +| GradientBoosting | 0.9872 | learning_rate=0.01, n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2" | # Models -## RandomForestClassifier -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------| -| 0.9882 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.988 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.988 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9879 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9879 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9876 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9876 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9874 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9874 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9873 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.985 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9846 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9846 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9845 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9844 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.9844 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9844 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9843 | n_estimators=640, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9841 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9841 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9841 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.984 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9838 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9819 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.9815 | n_estimators=320, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9813 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9813 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9813 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9813 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9806 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9779 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9778 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9776 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9774 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9749 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9749 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9748 | n_estimators=640, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.9748 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9747 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9747 | n_estimators=320, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.9746 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9738 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9738 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9718 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.9717 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.971 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9709 | n_estimators=160, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9707 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9649 | n_estimators=160, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.9616 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9612 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=7 | -| 0.9609 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=13 | -| 0.9605 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=13 | -| 0.9578 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9574 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9557 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=5 | -| 0.9514 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9513 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=5 | -| 0.9483 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=7 | -| 0.945 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9358 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=3 | -| 0.9353 | n_estimators=40, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.9348 | n_estimators=80, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.9318 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=3 | -| 0.9316 | n_estimators=80, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.9287 | n_estimators=40, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.9121 | n_estimators=20, criterion="entropy", max_features="log2", min_samples_leaf=1 | -| 0.8984 | n_estimators=20, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8718 | n_estimators=10, criterion="gini", max_features="log2", min_samples_leaf=1 | -| 0.8717 | n_estimators=10, criterion="entropy", max_features="log2", min_samples_leaf=1 | - -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:-----------------------------------------------------------------------| -| 0.9873 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.9872 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.9872 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.987 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.9861 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.986 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.986 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.9853 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.985 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.985 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.9841 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.9838 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.9837 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.9837 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.01 | -| 0.9829 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.9829 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.01 | -| 0.9809 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.9808 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.9801 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.01 | -| 0.9797 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.9788 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.01 | -| 0.9722 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.9716 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.9716 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.964 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.9627 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.9587 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.9544 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.939 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.9387 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.1 | -| 0.8873 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.8858 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8855 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8854 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.1 | -| 0.8757 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.1 | -| 0.8753 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.1 | -| 0.8702 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.8298 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.8052 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.7787 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.7786 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7784 | max_depth=3, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.7748 | max_depth=3, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.77 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7528 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.7357 | max_depth=3, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.7301 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.7285 | max_depth=1, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7219 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.7171 | max_depth=5, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.7146 | max_depth=5, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.6953 | max_depth=5, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.6945 | max_depth=1, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.6943 | max_depth=5, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.6794 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=0.5 | -| 0.675 | max_depth=7, n_estimators=700, max_features="log2", learning_rate=0.5 | -| 0.6749 | max_depth=1, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.6715 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=0.5 | -| 0.6671 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=0.5 | -| 0.6665 | max_depth=7, n_estimators=500, max_features="log2", learning_rate=1 | -| 0.6395 | max_depth=7, n_estimators=100, max_features="log2", learning_rate=1 | -| 0.6241 | max_depth=7, n_estimators=300, max_features="log2", learning_rate=1 | -| 0.5264 | max_depth=3, n_estimators=700, max_features="log2", learning_rate=1 | -| 0.3655 | max_depth=1, n_estimators=700, max_features="log2", learning_rate=1 | - ## LogisticRegression | roc_auc.labels.false | params | |-----------------------:|:--------------------| -| 0.9782 | C=1, penalty="l1" | -| 0.978 | C=0.1, penalty="l1" | -| 0.7792 | C=1, penalty="l2" | -| 0.76 | C=0.1, penalty="l2" | -| 0.7556 | C=10, penalty="l2" | +| 0.8519 | penalty="l2", C=10 | +| 0.8484 | penalty="l2", C=0.1 | +| 0.8336 | penalty="l2", C=1 | ## BernoulliNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.9667 | | +| 0.9663 | | ## GaussianNB | roc_auc.labels.false | params | |-----------------------:|:---------| -| 0.9102 | | +| 0.941 | | + +## RandomForestClassifier +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9876 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | +| 0.9874 | min_samples_leaf=13, n_estimators=320, criterion="gini", max_features="log2" | +| 0.9874 | min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2" | +| 0.9851 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | +| 0.9849 | min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2" | +| 0.9848 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | +| 0.9847 | min_samples_leaf=7, n_estimators=320, criterion="gini", max_features="log2" | +| 0.9846 | min_samples_leaf=13, n_estimators=640, criterion="entropy", max_features="log2" | +| 0.9845 | min_samples_leaf=13, n_estimators=160, criterion="gini", max_features="log2" | +| 0.9845 | min_samples_leaf=3, n_estimators=640, criterion="gini", max_features="log2" | +| 0.9845 | min_samples_leaf=7, n_estimators=160, criterion="gini", max_features="log2" | +| 0.9845 | min_samples_leaf=5, n_estimators=640, criterion="entropy", max_features="log2" | +| 0.9845 | min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2" | +| 0.9844 | min_samples_leaf=5, n_estimators=320, criterion="entropy", max_features="log2" | +| 0.9842 | min_samples_leaf=3, n_estimators=640, criterion="entropy", max_features="log2" | +| 0.9842 | min_samples_leaf=7, n_estimators=640, criterion="gini", max_features="log2" | +| 0.9841 | min_samples_leaf=13, n_estimators=640, criterion="gini", max_features="log2" | +| 0.9841 | min_samples_leaf=5, n_estimators=640, criterion="gini", max_features="log2" | +| 0.984 | min_samples_leaf=7, n_estimators=640, criterion="entropy", max_features="log2" | +| 0.984 | min_samples_leaf=7, n_estimators=80, criterion="entropy", max_features="log2" | +| 0.9838 | min_samples_leaf=5, n_estimators=80, criterion="entropy", max_features="log2" | +| 0.9838 | min_samples_leaf=13, n_estimators=80, criterion="gini", max_features="log2" | +| 0.9812 | min_samples_leaf=1, n_estimators=640, criterion="entropy", max_features="log2" | +| 0.9812 | min_samples_leaf=3, n_estimators=320, criterion="entropy", max_features="log2" | +| 0.9809 | min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2" | +| 0.9809 | min_samples_leaf=3, n_estimators=160, criterion="gini", max_features="log2" | +| 0.9808 | min_samples_leaf=7, n_estimators=80, criterion="gini", max_features="log2" | +| 0.9807 | min_samples_leaf=3, n_estimators=320, criterion="gini", max_features="log2" | +| 0.9806 | min_samples_leaf=5, n_estimators=160, criterion="gini", max_features="log2" | +| 0.9805 | min_samples_leaf=5, n_estimators=320, criterion="gini", max_features="log2" | +| 0.9805 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | +| 0.9805 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | +| 0.9778 | min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2" | +| 0.9748 | min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2" | +| 0.9743 | min_samples_leaf=1, n_estimators=640, criterion="gini", max_features="log2" | +| 0.9739 | min_samples_leaf=5, n_estimators=80, criterion="gini", max_features="log2" | +| 0.9737 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | +| 0.9715 | min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2" | +| 0.9712 | min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2" | +| 0.9709 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | +| 0.9709 | min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2" | +| 0.968 | min_samples_leaf=1, n_estimators=320, criterion="gini", max_features="log2" | +| 0.9678 | min_samples_leaf=3, n_estimators=80, criterion="entropy", max_features="log2" | +| 0.9676 | min_samples_leaf=1, n_estimators=320, criterion="entropy", max_features="log2" | +| 0.9676 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | +| 0.967 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | +| 0.9669 | min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2" | +| 0.9653 | min_samples_leaf=1, n_estimators=160, criterion="entropy", max_features="log2" | +| 0.9646 | min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2" | +| 0.9645 | min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2" | +| 0.9632 | min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2" | +| 0.9615 | min_samples_leaf=1, n_estimators=160, criterion="gini", max_features="log2" | +| 0.9611 | min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2" | +| 0.9611 | min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2" | +| 0.9584 | min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2" | +| 0.9579 | min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2" | +| 0.9552 | min_samples_leaf=1, n_estimators=80, criterion="gini", max_features="log2" | +| 0.9491 | min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2" | +| 0.948 | min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2" | +| 0.9421 | min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2" | +| 0.9415 | min_samples_leaf=1, n_estimators=80, criterion="entropy", max_features="log2" | +| 0.9387 | min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2" | +| 0.9382 | min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2" | +| 0.9349 | min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2" | +| 0.932 | min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2" | +| 0.9217 | min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2" | +| 0.9187 | min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2" | +| 0.9085 | min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2" | +| 0.8618 | min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2" | +| 0.8448 | min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2" | + +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9877 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.9874 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9874 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.9873 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.9873 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.9872 | learning_rate=0.01, n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.9872 | learning_rate=0.01, n_estimators=300, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.9872 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9871 | learning_rate=0.01, n_estimators=500, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.9871 | learning_rate=0.1, n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.987 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.987 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.987 | learning_rate=0.1, n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.987 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9869 | learning_rate=0.01, n_estimators=500, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.9869 | learning_rate=0.01, n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9869 | learning_rate=0.01, n_estimators=500, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.9869 | learning_rate=0.1, n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9869 | learning_rate=0.01, n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.9869 | learning_rate=0.01, n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.9868 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.9868 | learning_rate=0.01, n_estimators=300, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.9868 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.9867 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9866 | learning_rate=0.01, n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.9866 | learning_rate=0.01, n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.9866 | learning_rate=0.01, n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.9865 | learning_rate=0.01, n_estimators=500, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.9865 | learning_rate=0.01, n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.9865 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.9864 | learning_rate=0.1, n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9864 | learning_rate=0.01, n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.9864 | learning_rate=0.01, n_estimators=500, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.9864 | learning_rate=0.1, n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9864 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9863 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9863 | learning_rate=0.01, n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.9861 | learning_rate=0.01, n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.9861 | learning_rate=0.1, n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9861 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9861 | learning_rate=0.01, n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.986 | learning_rate=0.01, n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.986 | learning_rate=0.01, n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.986 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.986 | learning_rate=0.1, n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9858 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.9858 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9858 | learning_rate=0.01, n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9857 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.9857 | learning_rate=0.01, n_estimators=100, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9857 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9856 | learning_rate=0.1, n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9856 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9855 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.9855 | learning_rate=0.1, n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9854 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9854 | learning_rate=0.01, n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9853 | learning_rate=0.01, n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.9852 | learning_rate=0.1, n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.9851 | learning_rate=0.01, n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9851 | learning_rate=0.1, n_estimators=100, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9849 | learning_rate=0.01, n_estimators=100, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9848 | learning_rate=0.01, n_estimators=100, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9848 | learning_rate=0.01, n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9845 | learning_rate=0.1, n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.9845 | learning_rate=0.1, n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9844 | learning_rate=0.01, n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9844 | learning_rate=0.1, n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9843 | learning_rate=0.1, n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9843 | learning_rate=0.01, n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9842 | learning_rate=0.1, n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9842 | learning_rate=0.1, n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9842 | learning_rate=0.1, n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9842 | learning_rate=0.01, n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9841 | learning_rate=0.01, n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.9841 | learning_rate=0.01, n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.984 | learning_rate=0.01, n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.984 | learning_rate=0.01, n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.984 | learning_rate=0.01, n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9839 | learning_rate=0.1, n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9839 | learning_rate=0.1, n_estimators=700, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.9838 | learning_rate=0.01, n_estimators=500, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9838 | learning_rate=0.1, n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9838 | learning_rate=0.01, n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.9838 | learning_rate=0.1, n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9836 | learning_rate=0.1, n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9836 | learning_rate=0.01, n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9835 | learning_rate=0.01, n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9835 | learning_rate=0.01, n_estimators=500, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9832 | learning_rate=0.1, n_estimators=100, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9831 | learning_rate=0.01, n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.983 | learning_rate=0.01, n_estimators=300, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.983 | learning_rate=0.01, n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9829 | learning_rate=0.1, n_estimators=500, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.9821 | learning_rate=0.01, n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9821 | learning_rate=0.01, n_estimators=300, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.982 | learning_rate=0.01, n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9818 | learning_rate=0.01, n_estimators=100, max_depth=1, min_samples_leaf=3, max_features="log2" | +| 0.9817 | learning_rate=0.01, n_estimators=100, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9815 | learning_rate=0.01, n_estimators=100, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9786 | learning_rate=0.01, n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.9785 | learning_rate=0.01, n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.9781 | learning_rate=0.1, n_estimators=300, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9779 | learning_rate=0.1, n_estimators=100, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.9775 | learning_rate=0.5, n_estimators=300, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9753 | learning_rate=0.1, n_estimators=300, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9752 | learning_rate=0.01, n_estimators=700, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.9751 | learning_rate=0.01, n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.9751 | learning_rate=0.01, n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.9746 | learning_rate=0.1, n_estimators=300, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9744 | learning_rate=0.1, n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9742 | learning_rate=0.1, n_estimators=100, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.9717 | learning_rate=0.1, n_estimators=300, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9696 | learning_rate=0.5, n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9686 | learning_rate=0.5, n_estimators=700, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9682 | learning_rate=0.1, n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.9679 | learning_rate=0.5, n_estimators=100, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9679 | learning_rate=0.5, n_estimators=700, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.9657 | learning_rate=0.1, n_estimators=500, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9655 | learning_rate=0.1, n_estimators=500, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.9649 | learning_rate=0.1, n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.9648 | learning_rate=0.1, n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.9643 | learning_rate=0.5, n_estimators=500, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.9624 | learning_rate=0.1, n_estimators=500, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9617 | learning_rate=0.1, n_estimators=500, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.96 | learning_rate=0.5, n_estimators=300, max_depth=1, min_samples_leaf=13, max_features="log2" | +| 0.959 | learning_rate=0.1, n_estimators=700, max_depth=3, min_samples_leaf=13, max_features="log2" | +| 0.9586 | learning_rate=0.1, n_estimators=500, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9556 | learning_rate=0.1, n_estimators=700, max_depth=3, min_samples_leaf=5, max_features="log2" | +| 0.9556 | learning_rate=0.1, n_estimators=700, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.9555 | learning_rate=0.1, n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.9521 | learning_rate=0.1, n_estimators=100, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.9493 | learning_rate=0.1, n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.9489 | learning_rate=0.1, n_estimators=700, max_depth=3, min_samples_leaf=3, max_features="log2" | +| 0.9471 | learning_rate=0.5, n_estimators=700, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9456 | learning_rate=0.5, n_estimators=100, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9455 | learning_rate=0.1, n_estimators=700, max_depth=3, min_samples_leaf=1, max_features="log2" | +| 0.943 | learning_rate=0.1, n_estimators=100, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.9395 | learning_rate=0.1, n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.939 | learning_rate=0.1, n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.939 | learning_rate=0.1, n_estimators=300, max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.9387 | learning_rate=0.1, n_estimators=100, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.9373 | learning_rate=1, n_estimators=500, max_depth=1, min_samples_leaf=1, max_features="log2" | +| 0.93 | learning_rate=0.5, n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.9298 | learning_rate=1, n_estimators=300, max_depth=1, min_samples_leaf=5, max_features="log2" | +| 0.9288 | learning_rate=0.1, n_estimators=300, max_depth=5, min_samples_leaf=5, max_features="log2" | +| 0.922 | learning_rate=0.1, n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.9088 | learning_rate=0.1, 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max_depth=5, min_samples_leaf=13, max_features="log2" | +| 0.6366 | learning_rate=1, n_estimators=300, max_depth=3, min_samples_leaf=7, max_features="log2" | +| 0.6356 | learning_rate=0.5, n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.6309 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.6293 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.6282 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.6279 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.6251 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=7, max_features="log2" | +| 0.6251 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.6192 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.6188 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.6167 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.6159 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.613 | learning_rate=1, n_estimators=500, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.613 | learning_rate=1, n_estimators=300, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.6066 | learning_rate=0.5, n_estimators=500, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.5979 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.5962 | learning_rate=0.5, n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.5948 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.5889 | learning_rate=1, n_estimators=100, max_depth=5, min_samples_leaf=7, max_features="log2" | +| 0.5847 | learning_rate=1, n_estimators=700, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.5825 | learning_rate=1, n_estimators=700, max_depth=1, min_samples_leaf=7, max_features="log2" | +| 0.5785 | learning_rate=1, n_estimators=700, max_depth=5, min_samples_leaf=3, max_features="log2" | +| 0.5722 | learning_rate=1, n_estimators=500, max_depth=7, min_samples_leaf=1, max_features="log2" | +| 0.5701 | learning_rate=1, n_estimators=300, max_depth=5, min_samples_leaf=1, max_features="log2" | +| 0.5302 | learning_rate=1, n_estimators=100, max_depth=7, min_samples_leaf=3, max_features="log2" | +| 0.5118 | learning_rate=0.5, n_estimators=700, max_depth=7, min_samples_leaf=5, max_features="log2" | +| 0.4895 | learning_rate=1, n_estimators=100, max_depth=7, min_samples_leaf=13, max_features="log2" | +| 0.4347 | learning_rate=1, n_estimators=500, max_depth=5, min_samples_leaf=1, max_features="log2" | diff --git a/tuning_reports/svwiki.damaging.md b/tuning_reports/svwiki.damaging.md index 892cdc3b..321d5612 100644 --- a/tuning_reports/svwiki.damaging.md +++ b/tuning_reports/svwiki.damaging.md @@ -1,157 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.svwiki.damaging -- Date: 2017-09-05T18:44:01.052417 -- Observations: 38945 +- Date: 2021-02-13T00:57:22.785322 +- Observations: 32250 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9759 | learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9757 | learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| GradientBoosting | 0.9756 | learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| GradientBoosting | 0.9753 | learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| RandomForestClassifier | 0.9751 | min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9751 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9749 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9749 | learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| GradientBoosting | 0.9749 | learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| GradientBoosting | 0.9747 | learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9745 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9743 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.9741 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| GradientBoosting | 0.9741 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| GradientBoosting | 0.974 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| GradientBoosting | 0.974 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.974 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| GradientBoosting | 0.974 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| GradientBoosting | 0.974 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| GradientBoosting | 0.9739 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | # Models -## BernoulliNB +## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.8761 | | +| 0.9618 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.9751 | min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9751 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9749 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9746 | min_samples_leaf=5, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9743 | min_samples_leaf=7, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9743 | min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9737 | min_samples_leaf=13, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9736 | min_samples_leaf=7, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9733 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.973 | min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9722 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9721 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9715 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9711 | min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9699 | min_samples_leaf=1, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9698 | min_samples_leaf=3, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9679 | min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9678 | min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9676 | min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9673 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9672 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9672 | min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9669 | min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9663 | min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.965 | min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9649 | min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9629 | min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9627 | min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9616 | min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9608 | min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9602 | min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9586 | min_samples_leaf=1, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9572 | min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9546 | min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9527 | min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9524 | min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9498 | min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9466 | min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9406 | min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9345 | min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9149 | min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9105 | min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2" | - -## GaussianNB -| roc_auc.labels.true | params | -|| - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9759 | learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9757 | learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9756 | learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9753 | learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9749 | learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9749 | learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9747 | learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9746 | learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9745 | learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9743 | learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9742 | learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9741 | learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9738 | learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9736 | learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9735 | learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9734 | learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9733 | learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9732 | learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.973 | learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9729 | learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9725 | learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9723 | learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9722 | learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9718 | learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9713 | learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9712 | learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9706 | learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9695 | learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9693 | learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9693 | learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9692 | learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9689 | learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9684 | learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.968 | learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9678 | learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9677 | learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9659 | learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9652 | learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.965 | learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9613 | learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9603 | learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9573 | learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9566 | learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9544 | learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9541 | learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9536 | learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9514 | learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9403 | learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9383 | learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9095 | learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9056 | learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8843 | learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8665 | learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8587 | learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.8514 | learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8092 | learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.7471 | learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.744 | learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.6807 | learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.648 | learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.6036 | learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.5964 | learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.5891 | learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.5247 | learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | +| 0.9734 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9731 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.973 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.973 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.973 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9729 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9725 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.972 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.972 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.9718 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.9718 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9711 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=640 | +| 0.971 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9709 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9708 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9707 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9707 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9706 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=80 | +| 0.9705 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9704 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9703 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9703 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9702 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9698 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=640 | +| 0.9696 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=80 | +| 0.9695 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.9695 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.9694 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=40 | +| 0.9693 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.9691 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.9687 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.9686 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.9686 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.9685 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9682 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=40 | +| 0.968 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9676 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9676 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=80 | +| 0.9674 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=640 | +| 0.9673 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=320 | +| 0.9671 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9667 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=80 | +| 0.9664 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9663 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=40 | +| 0.9652 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.965 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=40 | +| 0.9646 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=320 | +| 0.9637 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=160 | +| 0.963 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9628 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=160 | +| 0.9626 | min_samples_leaf=13, max_features="log2", criterion="gini", n_estimators=10 | +| 0.9621 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9605 | min_samples_leaf=13, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.9595 | min_samples_leaf=7, max_features="log2", criterion="gini", n_estimators=10 | +| 0.9591 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9582 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=80 | +| 0.957 | min_samples_leaf=7, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.9564 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9559 | min_samples_leaf=5, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.9559 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=80 | +| 0.9534 | min_samples_leaf=5, max_features="log2", criterion="gini", n_estimators=10 | +| 0.9533 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9519 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=40 | +| 0.9497 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=40 | +| 0.9451 | min_samples_leaf=3, max_features="log2", criterion="gini", n_estimators=10 | +| 0.9435 | min_samples_leaf=3, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.9379 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=20 | +| 0.9355 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=20 | +| 0.9153 | min_samples_leaf=1, max_features="log2", criterion="entropy", n_estimators=10 | +| 0.9084 | min_samples_leaf=1, max_features="log2", criterion="gini", n_estimators=10 | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.9733 | penalty="l1", C=1 | -| 0.9723 | penalty="l1", C=10 | -| 0.968 | penalty="l1", C=0.1 | -| 0.9326 | penalty="l2", C=10 | -| 0.9311 | penalty="l2", C=1 | -| 0.9306 | penalty="l2", C=0.1 | +| 0.9395 | C=10, penalty="l2" | +| 0.9378 | C=0.1, penalty="l2" | +| 0.9368 | C=1, penalty="l2" | + +## GradientBoosting +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9745 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9743 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9741 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9741 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.974 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.974 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.974 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.974 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.974 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9739 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9738 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9738 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9737 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9737 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9737 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9736 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9735 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9735 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9733 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9733 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9732 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9732 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9732 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9731 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9731 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.973 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9729 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9729 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9729 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9729 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9728 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9728 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9728 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9728 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9728 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9727 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9726 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9726 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9726 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9725 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9725 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9724 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9723 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9723 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9722 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9722 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9722 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9722 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9721 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9721 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9721 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9719 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9719 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9719 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9718 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9718 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9718 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9718 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9717 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9717 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9717 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9716 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9716 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9716 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9716 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9715 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9715 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9715 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9715 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9715 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9714 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9713 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9713 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9713 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9712 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9712 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9712 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9712 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9712 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9712 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9711 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9711 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9711 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9711 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.971 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.971 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=300 | +| 0.971 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.971 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.971 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9709 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9709 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9708 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9708 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9707 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9707 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9706 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9706 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9705 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9704 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9703 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9703 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9701 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9701 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9701 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9701 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9699 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9696 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9696 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9695 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9695 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9695 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9695 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9695 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9695 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9694 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9694 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9694 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9694 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9692 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9692 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9692 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.969 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=300 | +| 0.969 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9687 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9687 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9684 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9684 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9675 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9672 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9672 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.967 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9669 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9668 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9667 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9664 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9662 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9659 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9657 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9657 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9656 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9656 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9655 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9655 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9654 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9654 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9652 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.965 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9649 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9648 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9647 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9646 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9643 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9643 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9642 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9642 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9642 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9641 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9641 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.964 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=100 | +| 0.964 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9638 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9633 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9631 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9622 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.962 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9619 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9619 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9616 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9614 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9611 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9611 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=1, n_estimators=500 | +| 0.961 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9608 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9608 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9606 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=500 | +| 0.9605 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.96 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9598 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9595 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9592 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9588 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9584 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9579 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9575 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9571 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.957 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=1, n_estimators=700 | +| 0.9569 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.9567 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9555 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.9541 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9541 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=300 | +| 0.954 | min_samples_leaf=7, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9537 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9533 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9527 | min_samples_leaf=1, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9526 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9521 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9513 | min_samples_leaf=5, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9509 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9508 | min_samples_leaf=13, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.9499 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9491 | min_samples_leaf=3, learning_rate=0.01, max_features="log2", max_depth=1, n_estimators=100 | +| 0.948 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9477 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9474 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9472 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9434 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9422 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9403 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9393 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=100 | +| 0.9376 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9363 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9353 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9337 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9334 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.9315 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.93 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9286 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.928 | min_samples_leaf=13, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9271 | min_samples_leaf=7, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9243 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9238 | min_samples_leaf=5, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.923 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9222 | min_samples_leaf=3, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9216 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9206 | min_samples_leaf=1, learning_rate=0.1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9188 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=300 | +| 0.9161 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9142 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9132 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9125 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9125 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9124 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.912 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.9114 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=100 | +| 0.907 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9057 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.9038 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=100 | +| 0.9035 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=700 | +| 0.9025 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.9019 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.9014 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.9007 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=3, n_estimators=500 | +| 0.9004 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8991 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.896 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8955 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8949 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8906 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8904 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8876 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8848 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8812 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8779 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8754 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8751 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=500 | +| 0.875 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8748 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8731 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8696 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8666 | min_samples_leaf=7, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8646 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8613 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8591 | min_samples_leaf=3, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8591 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=5, n_estimators=700 | +| 0.858 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8566 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=700 | +| 0.8475 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8453 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.8449 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8417 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=300 | +| 0.8346 | min_samples_leaf=5, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8303 | min_samples_leaf=1, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.8296 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=300 | +| 0.8209 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.8185 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=100 | +| 0.8073 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8066 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.8061 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.7916 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.7827 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7804 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.7803 | min_samples_leaf=13, learning_rate=0.5, max_features="log2", max_depth=7, n_estimators=500 | +| 0.7746 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.7702 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.7641 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7639 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.7536 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.7499 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.7487 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7476 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7458 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.7359 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.7353 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.7332 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.7322 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7309 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=100 | +| 0.7282 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.7265 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.7216 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | +| 0.7169 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.7164 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.713 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.7116 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.7101 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7046 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7034 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.7031 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=300 | +| 0.7028 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.7013 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.6942 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.6896 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=700 | +| 0.6882 | min_samples_leaf=7, learning_rate=1, max_features="log2", max_depth=7, n_estimators=700 | +| 0.6861 | min_samples_leaf=13, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.6825 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.6772 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=7, n_estimators=500 | +| 0.676 | min_samples_leaf=1, learning_rate=1, max_features="log2", max_depth=5, n_estimators=500 | +| 0.673 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=500 | +| 0.6641 | min_samples_leaf=3, learning_rate=1, max_features="log2", max_depth=5, n_estimators=300 | +| 0.6108 | min_samples_leaf=5, learning_rate=1, max_features="log2", max_depth=3, n_estimators=700 | + +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8869 | | diff --git a/tuning_reports/svwiki.goodfaith.md b/tuning_reports/svwiki.goodfaith.md index f9eefb33..226b352d 100644 --- a/tuning_reports/svwiki.goodfaith.md +++ b/tuning_reports/svwiki.goodfaith.md @@ -1,165 +1,439 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.svwiki.goodfaith -- Date: 2017-09-06T01:10:06.009912 -- Observations: 38945 +- Date: 2021-02-13T01:45:48.406058 +- Observations: 32250 - Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) +- Statistic: roc_auc.labels.false (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9786 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9771 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| RandomForestClassifier | 0.9766 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9765 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| RandomForestClassifier | 0.9765 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| LogisticRegression | 0.9763 | penalty="l1", C=10 | -| RandomForestClassifier | 0.9763 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9762 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| GradientBoosting | 0.976 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=500 | -| GradientBoosting | 0.9758 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=700 | +| model | roc_auc.labels.false | params | +|:-----------------------|-----------------------:|:--------------------------------------------------------------------------------------------| +| GradientBoosting | 0.9782 | n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9781 | n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2" | +| RandomForestClassifier | 0.9781 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| RandomForestClassifier | 0.978 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| GradientBoosting | 0.9778 | n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2" | +| GradientBoosting | 0.9775 | n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2" | +| GradientBoosting | 0.9771 | n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2" | +| GradientBoosting | 0.977 | n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2" | +| GradientBoosting | 0.977 | n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2" | +| GradientBoosting | 0.9769 | n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2" | # Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.976 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9758 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9754 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9752 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9749 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9742 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9741 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9732 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9729 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9705 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9704 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.97 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.969 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9686 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9683 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9666 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9659 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9656 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9656 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9624 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.959 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9584 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9552 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9488 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9375 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9347 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9023 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.8903 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.8235 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.7232 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.6827 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.6809 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.6696 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.656 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.6469 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.6382 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.6292 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.6165 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.6122 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.6091 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.6009 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.5966 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.5939 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.5928 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.5846 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.5831 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.579 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.5729 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.5672 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.5654 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.5579 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.5493 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.5443 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.5418 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.5403 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.538 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.5313 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.5108 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.5014 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.4976 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.4756 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.4693 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.4604 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.3904 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=300 | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.9464 | penalty="l2", C=0.1 | +| 0.9398 | penalty="l2", C=10 | +| 0.9387 | penalty="l2", C=1 | ## GaussianNB -| roc_auc.labels.true | params | -|| +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9725 | | ## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9786 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9771 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9766 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.9765 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9765 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9763 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9762 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9757 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.9749 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=80 | -| 0.9747 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9744 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9741 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=160 | -| 0.974 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=160 | -| 0.9738 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=160 | -| 0.9737 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9735 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=80 | -| 0.9734 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=80 | -| 0.9728 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=160 | -| 0.9722 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=40 | -| 0.9722 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.9718 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=80 | -| 0.9715 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=40 | -| 0.9712 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.9709 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.9706 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=20 | -| 0.9705 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.9703 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=40 | -| 0.9703 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.9685 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=160 | -| 0.968 | criterion="entropy", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9675 | criterion="gini", min_samples_leaf=13, max_features="log2", n_estimators=10 | -| 0.9671 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.9668 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=20 | -| 0.9667 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=20 | -| 0.9662 | criterion="entropy", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9656 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=80 | -| 0.9651 | criterion="entropy", min_samples_leaf=5, max_features="log2", n_estimators=10 | -| 0.9649 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=40 | -| 0.9641 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.9635 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=20 | -| 0.9605 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.9579 | criterion="gini", min_samples_leaf=7, max_features="log2", n_estimators=10 | -| 0.9576 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=40 | -| 0.9537 | criterion="gini", min_samples_leaf=5, max_features="log2", n_estimators=10 | -| 0.9535 | criterion="entropy", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.9527 | criterion="gini", min_samples_leaf=3, max_features="log2", n_estimators=10 | -| 0.9492 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.9483 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=20 | -| 0.9215 | criterion="entropy", min_samples_leaf=1, max_features="log2", n_estimators=10 | -| 0.9113 | criterion="gini", min_samples_leaf=1, max_features="log2", n_estimators=10 | +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------| +| 0.9781 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.978 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9769 | n_estimators=640, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9768 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9767 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9767 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9765 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9763 | n_estimators=640, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9762 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.976 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9759 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9757 | n_estimators=640, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9757 | n_estimators=160, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9755 | n_estimators=320, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9755 | n_estimators=320, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9754 | n_estimators=320, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9752 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9752 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9749 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9749 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9748 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9748 | n_estimators=160, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9748 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9743 | n_estimators=80, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9741 | n_estimators=640, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.974 | n_estimators=320, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9739 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9739 | n_estimators=80, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9739 | n_estimators=640, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9738 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9737 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9736 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9734 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9729 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9727 | n_estimators=80, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9726 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9725 | n_estimators=160, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.972 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9719 | n_estimators=80, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9717 | n_estimators=160, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9716 | n_estimators=40, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9711 | n_estimators=20, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9705 | n_estimators=320, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9697 | n_estimators=40, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9687 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9686 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9684 | n_estimators=20, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9684 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9679 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9679 | n_estimators=160, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9676 | n_estimators=40, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.967 | n_estimators=40, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.967 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="entropy" | +| 0.9668 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9659 | n_estimators=80, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9651 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="entropy" | +| 0.9649 | n_estimators=20, max_features="log2", min_samples_leaf=5, criterion="entropy" | +| 0.9648 | n_estimators=10, max_features="log2", min_samples_leaf=13, criterion="gini" | +| 0.9628 | n_estimators=10, max_features="log2", min_samples_leaf=7, criterion="gini" | +| 0.9596 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9592 | n_estimators=20, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.9592 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="entropy" | +| 0.959 | n_estimators=10, max_features="log2", min_samples_leaf=3, criterion="gini" | +| 0.9587 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.9574 | n_estimators=10, max_features="log2", min_samples_leaf=5, criterion="gini" | +| 0.9559 | n_estimators=40, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9444 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.9436 | n_estimators=20, max_features="log2", min_samples_leaf=1, criterion="gini" | +| 0.914 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="entropy" | +| 0.912 | n_estimators=10, max_features="log2", min_samples_leaf=1, criterion="gini" | -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9102 | | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9782 | n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9781 | n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9778 | n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9775 | n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9771 | n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.977 | n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.977 | n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9769 | n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9768 | n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9767 | n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9767 | n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9766 | n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9766 | n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9766 | n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9766 | n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9765 | n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9765 | n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9765 | n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9765 | n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9764 | n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9764 | n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9764 | n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9763 | n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9763 | n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9763 | n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9763 | n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9762 | n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9761 | n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9761 | n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.976 | n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.976 | n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.976 | n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9759 | n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9759 | n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9759 | n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9759 | n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9758 | n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9758 | n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9758 | n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9758 | n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9758 | n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9757 | n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9757 | n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9757 | n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9756 | n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9755 | n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9755 | n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9754 | n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9754 | n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9754 | n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9752 | n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9752 | n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9751 | n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9751 | n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9751 | n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9751 | n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9751 | n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9751 | n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.975 | n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.975 | n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9749 | n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9749 | n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9748 | n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9746 | n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9746 | n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9745 | n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9744 | n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9744 | n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9744 | n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9743 | n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9743 | n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9743 | n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9742 | n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9742 | n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9742 | n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9742 | n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9741 | n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9741 | n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9741 | n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.974 | n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9739 | n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9738 | n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9738 | n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9738 | n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9738 | n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9738 | n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9737 | n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9736 | n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9736 | n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9736 | n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9735 | n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.9735 | n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9735 | n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9735 | n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=0.01, max_features="log2" | +| 0.9734 | n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9734 | n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9733 | n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9733 | n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9733 | n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9732 | n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9732 | n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9731 | n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9731 | n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9731 | n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9731 | n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.973 | n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=0.01, max_features="log2" | +| 0.973 | n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9729 | n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9729 | n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9729 | n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9728 | n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9728 | n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9726 | n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9724 | n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9723 | n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9721 | n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9721 | n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.972 | n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9719 | n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9719 | n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9718 | n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9717 | n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9717 | n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9717 | n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9716 | n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9716 | n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9714 | n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9714 | n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9714 | n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=0.01, max_features="log2" | +| 0.9713 | n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=0.1, max_features="log2" | +| 0.9711 | n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.971 | n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9709 | n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9709 | n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9708 | n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9706 | n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9706 | n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9701 | n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.97 | n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=0.1, max_features="log2" | +| 0.9697 | n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9692 | n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=0.5, max_features="log2" | +| 0.9691 | n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.969 | n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9689 | n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9689 | n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9689 | n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9688 | n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9688 | n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9682 | n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9674 | n_estimators=500, min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9672 | n_estimators=300, min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9671 | n_estimators=500, min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9669 | n_estimators=300, min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9667 | n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9665 | n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9665 | n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9664 | n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9661 | n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9659 | n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9657 | n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9651 | n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9649 | n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9647 | n_estimators=300, min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9637 | n_estimators=700, min_samples_leaf=5, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9637 | n_estimators=700, min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9635 | n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9629 | n_estimators=100, min_samples_leaf=7, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9625 | n_estimators=100, min_samples_leaf=5, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9611 | n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9604 | n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9601 | n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9599 | n_estimators=100, min_samples_leaf=13, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9596 | n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9594 | n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9583 | n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9582 | n_estimators=100, min_samples_leaf=1, max_depth=1, learning_rate=0.01, max_features="log2" | +| 0.9569 | n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9556 | n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9552 | n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9543 | n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9534 | n_estimators=500, min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9529 | n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.951 | n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9505 | n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9498 | n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9496 | n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9493 | n_estimators=700, min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2" | +| 0.948 | n_estimators=500, min_samples_leaf=1, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9472 | n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.946 | n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9456 | n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9445 | n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9436 | n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=0.1, max_features="log2" | +| 0.9393 | n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9367 | n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9365 | n_estimators=500, min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9354 | n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9314 | n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9311 | n_estimators=300, min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9296 | n_estimators=100, min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2" | +| 0.929 | n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9279 | n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9278 | n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9277 | n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9267 | n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9258 | n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9254 | n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9243 | n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.923 | n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.923 | n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9229 | n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=0.1, max_features="log2" | +| 0.9219 | n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9216 | n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9201 | n_estimators=100, min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2" | +| 0.9195 | n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9179 | n_estimators=100, min_samples_leaf=3, max_depth=1, learning_rate=1, max_features="log2" | +| 0.9162 | n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9157 | n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9156 | n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9148 | n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9145 | n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9131 | n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.913 | n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9102 | n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9093 | n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9073 | n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9072 | n_estimators=100, min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2" | +| 0.9065 | n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9048 | n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9041 | n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9035 | n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9029 | n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9022 | n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9019 | n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.9019 | n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.9014 | n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9003 | n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.9 | n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.8999 | n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.899 | n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.8987 | n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.8982 | n_estimators=100, min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2" | +| 0.8972 | n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.896 | n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.8823 | n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.8809 | n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.8735 | n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.8734 | n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.8718 | n_estimators=300, min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2" | +| 0.8539 | n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.8515 | n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.8479 | n_estimators=300, min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2" | +| 0.8446 | n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.8432 | n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.8397 | n_estimators=500, min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2" | +| 0.8376 | n_estimators=700, min_samples_leaf=13, max_depth=1, learning_rate=1, max_features="log2" | +| 0.8357 | n_estimators=300, min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2" | +| 0.8342 | n_estimators=300, min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2" | +| 0.834 | n_estimators=300, min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2" | +| 0.8328 | n_estimators=100, min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2" | +| 0.8322 | n_estimators=100, min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2" | +| 0.8282 | n_estimators=300, min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2" | +| 0.8243 | n_estimators=700, min_samples_leaf=7, max_depth=1, learning_rate=1, max_features="log2" | +| 0.8242 | n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.8241 | n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.8215 | n_estimators=300, min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2" | +| 0.8128 | n_estimators=100, min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2" | +| 0.8088 | n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7976 | n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=0.5, max_features="log2" | +| 0.7906 | n_estimators=500, min_samples_leaf=3, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.787 | n_estimators=300, min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7868 | n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=0.5, max_features="log2" | +| 0.7851 | n_estimators=700, min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7769 | n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.773 | n_estimators=100, min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7725 | n_estimators=700, min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7721 | n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.7699 | n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.7663 | n_estimators=700, min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7662 | n_estimators=500, min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7647 | n_estimators=300, min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7611 | n_estimators=300, min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7603 | n_estimators=100, min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7592 | n_estimators=500, min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7581 | n_estimators=100, min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7569 | n_estimators=700, min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7548 | n_estimators=500, min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7525 | n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=0.5, max_features="log2" | +| 0.7498 | n_estimators=100, min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7478 | n_estimators=300, min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7446 | n_estimators=700, min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7421 | n_estimators=700, min_samples_leaf=5, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7409 | n_estimators=300, min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7394 | n_estimators=500, min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7393 | n_estimators=500, min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7373 | n_estimators=500, min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2" | +| 0.732 | n_estimators=300, min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7286 | n_estimators=100, min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7269 | n_estimators=500, min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7258 | n_estimators=700, min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7252 | n_estimators=500, min_samples_leaf=3, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7219 | n_estimators=300, min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7194 | n_estimators=700, min_samples_leaf=3, max_depth=7, learning_rate=1, max_features="log2" | +| 0.7187 | n_estimators=700, min_samples_leaf=1, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7177 | n_estimators=100, min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7172 | n_estimators=500, min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2" | +| 0.717 | n_estimators=100, min_samples_leaf=5, max_depth=7, learning_rate=1, max_features="log2" | +| 0.714 | n_estimators=300, min_samples_leaf=7, max_depth=3, learning_rate=1, max_features="log2" | +| 0.7096 | n_estimators=700, min_samples_leaf=13, max_depth=5, learning_rate=1, max_features="log2" | +| 0.7071 | n_estimators=100, min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2" | +| 0.6988 | n_estimators=700, min_samples_leaf=7, max_depth=5, learning_rate=1, max_features="log2" | +| 0.6941 | n_estimators=500, min_samples_leaf=13, max_depth=7, learning_rate=1, max_features="log2" | +| 0.6882 | n_estimators=300, min_samples_leaf=1, max_depth=7, learning_rate=1, max_features="log2" | +| 0.6839 | n_estimators=500, min_samples_leaf=5, max_depth=3, learning_rate=1, max_features="log2" | +| 0.6809 | n_estimators=700, min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2" | +| 0.6801 | n_estimators=700, min_samples_leaf=3, max_depth=5, learning_rate=1, max_features="log2" | +| 0.6715 | n_estimators=700, min_samples_leaf=7, max_depth=7, learning_rate=1, max_features="log2" | +| 0.67 | n_estimators=500, min_samples_leaf=1, max_depth=5, learning_rate=1, max_features="log2" | +| 0.6457 | n_estimators=700, min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2" | +| 0.6305 | n_estimators=500, min_samples_leaf=13, max_depth=3, learning_rate=1, max_features="log2" | -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9763 | penalty="l1", C=10 | -| 0.9752 | penalty="l1", C=1 | -| 0.9706 | penalty="l1", C=0.1 | -| 0.9388 | penalty="l2", C=1 | -| 0.9315 | penalty="l2", C=0.1 | -| 0.9278 | penalty="l2", C=10 | +## BernoulliNB +| roc_auc.labels.false | params | +|-----------------------:|:---------| +| 0.9262 | | diff --git a/tuning_reports/tawiki.reverted.md b/tuning_reports/tawiki.reverted.md index 8f06a89e..5cb73c57 100644 --- a/tuning_reports/tawiki.reverted.md +++ b/tuning_reports/tawiki.reverted.md @@ -1,8 +1,8 @@ # Model tuning report -- Revscoring version: 2.0.5 +- Revscoring version: 2.9.3 - Features: editquality.feature_lists.tawiki.reverted -- Date: 2017-09-14T17:37:52.024072 -- Observations: 19869 +- Date: 2021-02-13T02:31:22.164618 +- Observations: 19145 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 @@ -10,166 +10,430 @@ # Top scoring configurations | model | roc_auc.labels.true | params | |:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9148 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| RandomForestClassifier | 0.9148 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| RandomForestClassifier | 0.9143 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| RandomForestClassifier | 0.9138 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| RandomForestClassifier | 0.9126 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| RandomForestClassifier | 0.9111 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| RandomForestClassifier | 0.9111 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| RandomForestClassifier | 0.9107 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| RandomForestClassifier | 0.9106 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| RandomForestClassifier | 0.9096 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | +| GaussianNB | 0.9509 | | +| RandomForestClassifier | 0.9075 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=640 | +| RandomForestClassifier | 0.906 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | +| RandomForestClassifier | 0.9049 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=640 | +| RandomForestClassifier | 0.9039 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | +| RandomForestClassifier | 0.9037 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | +| RandomForestClassifier | 0.9037 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | +| RandomForestClassifier | 0.903 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | +| RandomForestClassifier | 0.9027 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | +| RandomForestClassifier | 0.9027 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=640 | # Models -## GaussianNB -| roc_auc.labels.true | params | -|| - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9148 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.9148 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.9143 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.9138 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.9126 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9111 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.9111 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.9107 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.9106 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9096 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9086 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.9085 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.9081 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.9074 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.9074 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.9071 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9071 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.9066 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.9066 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.9061 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.9055 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.9052 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.9048 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.9046 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.9044 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.9025 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.9024 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.9023 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.9014 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.9009 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.9005 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.8998 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.8995 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.8987 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8983 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.8941 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.8926 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8913 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.8913 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8908 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.8907 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8901 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.8893 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.8891 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.8865 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8864 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8848 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8723 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8714 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8659 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8578 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.8563 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.8519 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8513 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.8502 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.8492 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8356 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.8281 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.7822 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.7758 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | - ## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.8997 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8995 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8975 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8969 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.895 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.895 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8944 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8942 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8928 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8921 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8903 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8886 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8863 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8856 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8854 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8845 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8828 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8816 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.881 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8803 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8802 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8799 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8782 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8776 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8771 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8766 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8757 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.8757 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.874 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.8738 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.8735 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8699 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.8666 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.8659 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.864 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8627 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8596 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.8566 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8559 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8556 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8515 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.851 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8508 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.8498 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.8489 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8488 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8485 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8476 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.8463 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.8437 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.8425 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.831 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.8197 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8173 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8115 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8053 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8031 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8027 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.8017 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.793 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.7414 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.7164 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.7025 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.662 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.8995 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.8983 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.8978 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.8973 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.8971 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.8964 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.8963 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.8962 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.8961 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.8961 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.8961 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.8959 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.8957 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.8954 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.8949 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.8949 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.8947 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.8947 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.8947 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.01 | +| 0.8944 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.8944 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.8944 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.8942 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.01 | +| 0.8941 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.8936 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.01 | +| 0.8935 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.8927 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.8925 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.892 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.01 | +| 0.8912 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.8912 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.8912 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.8911 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.8905 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.8903 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.8901 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.8901 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.8901 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.01 | +| 0.89 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.8899 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.8899 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.8894 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.8888 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.8887 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.8885 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.8885 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.8883 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.01 | +| 0.8881 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.8879 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.8876 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.8876 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.8875 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.01 | +| 0.8874 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.8872 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.01 | +| 0.8872 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.1 | +| 0.8872 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.8872 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.8871 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.1 | +| 0.887 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.887 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.8869 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.8868 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.8868 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.8864 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.01 | +| 0.8861 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.8854 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.8853 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.885 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.8843 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.1 | +| 0.8842 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.884 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.8839 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.8838 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.01 | +| 0.8838 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.1 | +| 0.8838 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.8828 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.8827 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.8824 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.882 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.8818 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.8816 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.881 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.881 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.8809 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.8809 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.8808 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.8807 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.8807 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.8805 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.5 | +| 0.8804 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.1 | +| 0.8802 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.8801 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.1 | +| 0.88 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.8798 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.8793 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.8792 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.8791 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.8789 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.8788 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.1 | +| 0.8786 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.8783 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.8782 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.8781 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.8781 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.878 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.8778 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.8774 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.8773 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.8763 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.8763 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.8761 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.8755 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.8753 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.875 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.5 | +| 0.8749 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.8748 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.01 | +| 0.8746 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.8745 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.8744 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.1 | +| 0.8742 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.8741 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=100, learning_rate=1 | +| 0.8736 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.1 | +| 0.8735 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.8732 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.1 | +| 0.8728 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.5 | +| 0.8722 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.8712 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.5 | +| 0.8701 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.8699 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.8682 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=100, learning_rate=1 | +| 0.8678 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.8675 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.8657 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.8655 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.8654 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.1 | +| 0.8641 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.8638 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.8634 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.8626 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.8624 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=300, learning_rate=1 | +| 0.8624 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=100, learning_rate=1 | +| 0.8623 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=300, learning_rate=1 | +| 0.862 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.1 | +| 0.8615 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.8615 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=300, learning_rate=1 | +| 0.8613 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=500, learning_rate=1 | +| 0.8606 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=500, learning_rate=1 | +| 0.8596 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=300, learning_rate=1 | +| 0.859 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.859 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.8587 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=500, learning_rate=1 | +| 0.8586 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.8586 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.8586 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.8585 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.8585 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.8582 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=300, learning_rate=1 | +| 0.858 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.8571 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=700, learning_rate=0.01 | +| 0.8562 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=700, learning_rate=1 | +| 0.8559 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.8553 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.8541 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.8539 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.01 | +| 0.8537 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=500, learning_rate=1 | +| 0.8536 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=500, learning_rate=1 | +| 0.8525 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.8522 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=100, learning_rate=1 | +| 0.8516 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.8515 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.8511 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.8507 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.8504 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.8503 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.8499 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=700, learning_rate=1 | +| 0.8499 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.1 | +| 0.8492 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.8488 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=700, learning_rate=1 | +| 0.8484 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.8479 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.8475 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.8475 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.847 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.8462 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=100, learning_rate=0.5 | +| 0.8456 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=300, learning_rate=0.5 | +| 0.8452 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=500, learning_rate=0.01 | +| 0.8445 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=700, learning_rate=1 | +| 0.8433 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.8419 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.8404 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.1 | +| 0.8381 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.8357 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.8341 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.8335 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.8332 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.8332 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.8332 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=300, learning_rate=0.01 | +| 0.8289 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.8282 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.8267 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.822 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.8208 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=500, learning_rate=0.5 | +| 0.8203 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=100, learning_rate=0.5 | +| 0.8184 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.8173 | min_samples_leaf=13, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.8155 | min_samples_leaf=1, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.8155 | min_samples_leaf=3, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.8146 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=100, learning_rate=0.01 | +| 0.8139 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.8133 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.8091 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.8072 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.8068 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.8041 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=100, learning_rate=1 | +| 0.8016 | min_samples_leaf=7, max_features="log2", max_depth=1, n_estimators=100, learning_rate=1 | +| 0.7991 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=100, learning_rate=1 | +| 0.7985 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=100, learning_rate=1 | +| 0.7966 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.7959 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=100, learning_rate=1 | +| 0.7944 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.7937 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=700, learning_rate=0.5 | +| 0.7929 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.7927 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.7925 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.7896 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.7891 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.7891 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=300, learning_rate=1 | +| 0.7867 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.1 | +| 0.7851 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.783 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=100, learning_rate=1 | +| 0.781 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=300, learning_rate=1 | +| 0.7781 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.7759 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.1 | +| 0.7758 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.7745 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=300, learning_rate=1 | +| 0.7739 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=300, learning_rate=1 | +| 0.7722 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.7719 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.771 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=100, learning_rate=0.5 | +| 0.7673 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.767 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.7666 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.7653 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.7645 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.7644 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.764 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.7627 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.7626 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.7616 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.7613 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.7605 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.7601 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.76 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=500, learning_rate=0.5 | +| 0.7591 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.7587 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.7585 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.7572 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.7569 | min_samples_leaf=5, max_features="log2", max_depth=1, n_estimators=700, learning_rate=1 | +| 0.7568 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=300, learning_rate=0.5 | +| 0.7556 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.7554 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.7539 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.7536 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=300, learning_rate=0.5 | +| 0.7518 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.7497 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=100, learning_rate=1 | +| 0.7477 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.7452 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=500, learning_rate=0.5 | +| 0.7436 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=100, learning_rate=1 | +| 0.7387 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=700, learning_rate=0.5 | +| 0.7385 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=700, learning_rate=1 | +| 0.7384 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=700, learning_rate=0.5 | +| 0.7362 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=700, learning_rate=1 | +| 0.7341 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=500, learning_rate=1 | +| 0.7337 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=500, learning_rate=1 | +| 0.7329 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=100, learning_rate=1 | +| 0.7259 | min_samples_leaf=1, max_features="log2", max_depth=3, n_estimators=500, learning_rate=1 | +| 0.7253 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=500, learning_rate=1 | +| 0.7232 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=700, learning_rate=1 | +| 0.7222 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=100, learning_rate=1 | +| 0.7179 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=700, learning_rate=1 | +| 0.7161 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=300, learning_rate=1 | +| 0.7132 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | +| 0.7115 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=300, learning_rate=1 | +| 0.7111 | min_samples_leaf=3, max_features="log2", max_depth=3, n_estimators=500, learning_rate=1 | +| 0.7066 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=300, learning_rate=1 | +| 0.7064 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=100, learning_rate=1 | +| 0.7061 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=500, learning_rate=1 | +| 0.7054 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | +| 0.7043 | min_samples_leaf=1, max_features="log2", max_depth=5, n_estimators=700, learning_rate=1 | +| 0.7012 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=500, learning_rate=1 | +| 0.7011 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=500, learning_rate=1 | +| 0.6994 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=300, learning_rate=1 | +| 0.6993 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | +| 0.6988 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=100, learning_rate=1 | +| 0.6981 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=100, learning_rate=1 | +| 0.6959 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=700, learning_rate=1 | +| 0.6943 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=500, learning_rate=1 | +| 0.6924 | min_samples_leaf=1, max_features="log2", max_depth=7, n_estimators=700, learning_rate=1 | +| 0.692 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=100, learning_rate=1 | +| 0.6838 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=100, learning_rate=1 | +| 0.6717 | min_samples_leaf=3, max_features="log2", max_depth=5, n_estimators=300, learning_rate=1 | +| 0.6712 | min_samples_leaf=5, max_features="log2", max_depth=3, n_estimators=700, learning_rate=1 | +| 0.6694 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=700, learning_rate=1 | +| 0.6665 | min_samples_leaf=7, max_features="log2", max_depth=3, n_estimators=500, learning_rate=1 | +| 0.6663 | min_samples_leaf=13, max_features="log2", max_depth=3, n_estimators=300, learning_rate=1 | +| 0.6637 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=300, learning_rate=1 | +| 0.6541 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=300, learning_rate=1 | +| 0.6535 | min_samples_leaf=7, max_features="log2", max_depth=5, n_estimators=700, learning_rate=1 | +| 0.6531 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=700, learning_rate=1 | +| 0.6486 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=300, learning_rate=1 | +| 0.6482 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=300, learning_rate=1 | +| 0.6472 | min_samples_leaf=13, max_features="log2", max_depth=5, n_estimators=700, learning_rate=1 | +| 0.6425 | min_samples_leaf=5, max_features="log2", max_depth=5, n_estimators=700, learning_rate=1 | +| 0.6402 | min_samples_leaf=3, max_features="log2", max_depth=7, n_estimators=700, learning_rate=1 | +| 0.6389 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | +| 0.6337 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=700, learning_rate=1 | +| 0.6305 | min_samples_leaf=13, max_features="log2", max_depth=7, n_estimators=100, learning_rate=1 | +| 0.6282 | min_samples_leaf=7, max_features="log2", max_depth=7, n_estimators=300, learning_rate=1 | +| 0.5756 | min_samples_leaf=5, max_features="log2", max_depth=7, n_estimators=500, learning_rate=1 | ## BernoulliNB | roc_auc.labels.true | params | |----------------------:|:---------| -| 0.7751 | | +| 0.7456 | | + +## GaussianNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.9509 | | ## LogisticRegression | roc_auc.labels.true | params | |----------------------:|:--------------------| -| 0.8794 | penalty="l1", C=1 | -| 0.8793 | penalty="l1", C=10 | -| 0.879 | penalty="l1", C=0.1 | -| 0.8542 | penalty="l2", C=0.1 | -| 0.8462 | penalty="l2", C=10 | -| 0.8311 | penalty="l2", C=1 | +| 0.8521 | penalty="l2", C=10 | +| 0.848 | penalty="l2", C=0.1 | +| 0.8475 | penalty="l2", C=1 | + +## RandomForestClassifier +| roc_auc.labels.true | params | +|----------------------:|:--------------------------------------------------------------------------------| +| 0.9075 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.906 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9049 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9039 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9037 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9037 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.903 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9027 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9027 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.9016 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | +| 0.9015 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | +| 0.9015 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9013 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.9002 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=640 | +| 0.9001 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=640 | +| 0.8999 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=640 | +| 0.8997 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8992 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8992 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | +| 0.899 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=640 | +| 0.8988 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.8987 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=640 | +| 0.8987 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=640 | +| 0.8986 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | +| 0.8986 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8983 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | +| 0.898 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8973 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.897 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8951 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8948 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8947 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8946 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.894 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8911 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | +| 0.8901 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8896 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8884 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8864 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8854 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8844 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.884 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8839 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8836 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8816 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | +| 0.8799 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8799 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8793 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8772 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | +| 0.8768 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8763 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8709 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8694 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | +| 0.8688 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8659 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8607 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8584 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8578 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8577 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8563 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8513 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8472 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.8376 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | +| 0.8375 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | +| 0.8342 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | +| 0.8192 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | +| 0.8141 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | +| 0.8078 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.7654 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | +| 0.7644 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | diff --git a/tuning_reports/translatewiki.reverted.md b/tuning_reports/translatewiki.reverted.md deleted file mode 100644 index 2146d469..00000000 --- a/tuning_reports/translatewiki.reverted.md +++ /dev/null @@ -1,186 +0,0 @@ -# Model tuning report -- Revscoring version: 2.2.6 -- Features: editquality.feature_lists.translatewiki.reverted -- Date: 2018-12-17T20:21:11.678079 -- Observations: 23713 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9711 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=1 | -| RandomForestClassifier | 0.9711 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=1 | -| RandomForestClassifier | 0.9711 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=1 | -| RandomForestClassifier | 0.971 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=1 | -| RandomForestClassifier | 0.971 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=1 | -| RandomForestClassifier | 0.9705 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=1 | -| RandomForestClassifier | 0.9702 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=1 | -| RandomForestClassifier | 0.9697 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=1 | -| RandomForestClassifier | 0.9685 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=1 | -| RandomForestClassifier | 0.9682 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=1 | - -# Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9655 | max_depth=7, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9648 | max_depth=5, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9646 | max_depth=5, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9646 | max_depth=7, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9645 | max_depth=7, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9635 | max_depth=5, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9635 | max_depth=3, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9629 | max_depth=7, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9627 | max_depth=7, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9622 | max_depth=3, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9606 | max_depth=7, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9604 | max_depth=3, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9603 | max_depth=5, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.959 | max_depth=5, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9583 | max_depth=3, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9578 | max_depth=7, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9576 | max_depth=1, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9575 | max_depth=3, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9567 | max_depth=3, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9565 | max_depth=5, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9563 | max_depth=3, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9563 | max_depth=1, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9554 | max_depth=1, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9552 | max_depth=5, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9546 | max_depth=1, learning_rate=0.1, n_estimators=700, max_features="log2" | -| 0.9537 | max_depth=3, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9532 | max_depth=1, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.9531 | max_depth=5, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9529 | max_depth=1, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.9528 | max_depth=5, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9528 | max_depth=5, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.952 | max_depth=1, learning_rate=0.1, n_estimators=500, max_features="log2" | -| 0.9519 | max_depth=7, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9514 | max_depth=1, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.9507 | max_depth=3, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9503 | max_depth=7, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.9496 | max_depth=5, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9491 | max_depth=1, learning_rate=0.5, n_estimators=100, max_features="log2" | -| 0.949 | max_depth=3, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.948 | max_depth=1, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9479 | max_depth=1, learning_rate=0.1, n_estimators=300, max_features="log2" | -| 0.9465 | max_depth=3, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.9462 | max_depth=3, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.9445 | max_depth=7, learning_rate=0.5, n_estimators=700, max_features="log2" | -| 0.9426 | max_depth=5, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9414 | max_depth=3, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.9409 | max_depth=5, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9356 | max_depth=7, learning_rate=0.5, n_estimators=500, max_features="log2" | -| 0.9336 | max_depth=7, learning_rate=0.5, n_estimators=300, max_features="log2" | -| 0.9333 | max_depth=7, learning_rate=1, n_estimators=100, max_features="log2" | -| 0.9291 | max_depth=1, learning_rate=0.1, n_estimators=100, max_features="log2" | -| 0.9224 | max_depth=3, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.9218 | max_depth=1, learning_rate=0.01, n_estimators=700, max_features="log2" | -| 0.9206 | max_depth=3, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.9153 | max_depth=5, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.913 | max_depth=1, learning_rate=0.01, n_estimators=500, max_features="log2" | -| 0.8958 | max_depth=1, learning_rate=0.01, n_estimators=300, max_features="log2" | -| 0.8799 | max_depth=3, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.8534 | max_depth=1, learning_rate=0.01, n_estimators=100, max_features="log2" | -| 0.8253 | max_depth=5, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7971 | max_depth=7, learning_rate=1, n_estimators=500, max_features="log2" | -| 0.7765 | max_depth=7, learning_rate=1, n_estimators=300, max_features="log2" | -| 0.7704 | max_depth=5, learning_rate=1, n_estimators=700, max_features="log2" | -| 0.7487 | max_depth=7, learning_rate=1, n_estimators=700, max_features="log2" | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9463 | | - -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9633 | | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9711 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=1 | -| 0.9711 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=1 | -| 0.9711 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=1 | -| 0.971 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=1 | -| 0.971 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=1 | -| 0.9705 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=1 | -| 0.9702 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=1 | -| 0.9697 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=1 | -| 0.9685 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=1 | -| 0.9682 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=1 | -| 0.9677 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=3 | -| 0.9674 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=3 | -| 0.9673 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=3 | -| 0.9673 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=3 | -| 0.9671 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=3 | -| 0.9671 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=3 | -| 0.9669 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=3 | -| 0.9668 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=3 | -| 0.9668 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=3 | -| 0.9665 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=3 | -| 0.9664 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=3 | -| 0.9663 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=1 | -| 0.966 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=5 | -| 0.9659 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=5 | -| 0.9657 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=1 | -| 0.9657 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=5 | -| 0.9655 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=5 | -| 0.9654 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=5 | -| 0.9654 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=5 | -| 0.9654 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=5 | -| 0.9652 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=3 | -| 0.9651 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=5 | -| 0.9649 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=5 | -| 0.9646 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=7 | -| 0.9645 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=7 | -| 0.9645 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=7 | -| 0.9643 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=5 | -| 0.9643 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=7 | -| 0.9642 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=5 | -| 0.9642 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=7 | -| 0.964 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=7 | -| 0.9639 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=7 | -| 0.9639 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=7 | -| 0.9637 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=7 | -| 0.9633 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=5 | -| 0.9632 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=3 | -| 0.9631 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=7 | -| 0.963 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=5 | -| 0.9628 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=3 | -| 0.9622 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=7 | -| 0.9622 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=7 | -| 0.9615 | max_features="log2", criterion="entropy", n_estimators=640, min_samples_leaf=13 | -| 0.9614 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=5 | -| 0.9613 | max_features="log2", criterion="entropy", n_estimators=160, min_samples_leaf=13 | -| 0.9612 | max_features="log2", criterion="gini", n_estimators=640, min_samples_leaf=13 | -| 0.961 | max_features="log2", criterion="entropy", n_estimators=320, min_samples_leaf=13 | -| 0.9608 | max_features="log2", criterion="gini", n_estimators=320, min_samples_leaf=13 | -| 0.9607 | max_features="log2", criterion="gini", n_estimators=160, min_samples_leaf=13 | -| 0.9607 | max_features="log2", criterion="entropy", n_estimators=40, min_samples_leaf=13 | -| 0.9606 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=7 | -| 0.9606 | max_features="log2", criterion="gini", n_estimators=80, min_samples_leaf=13 | -| 0.9605 | max_features="log2", criterion="entropy", n_estimators=80, min_samples_leaf=13 | -| 0.9601 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=7 | -| 0.9599 | max_features="log2", criterion="gini", n_estimators=40, min_samples_leaf=13 | -| 0.9592 | max_features="log2", criterion="entropy", n_estimators=20, min_samples_leaf=13 | -| 0.9589 | max_features="log2", criterion="gini", n_estimators=20, min_samples_leaf=13 | -| 0.9581 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=1 | -| 0.9579 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=1 | -| 0.9574 | max_features="log2", criterion="entropy", n_estimators=10, min_samples_leaf=13 | -| 0.9566 | max_features="log2", criterion="gini", n_estimators=10, min_samples_leaf=13 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9466 | penalty="l1", C=10 | -| 0.9463 | penalty="l2", C=10 | -| 0.9461 | penalty="l1", C=1 | -| 0.9449 | penalty="l2", C=1 | -| 0.943 | penalty="l2", C=0.1 | -| 0.942 | penalty="l1", C=0.1 | - diff --git a/tuning_reports/trwiki.damaging.md b/tuning_reports/trwiki.damaging.md deleted file mode 100644 index 21a6f3a1..00000000 --- a/tuning_reports/trwiki.damaging.md +++ /dev/null @@ -1,175 +0,0 @@ -# Model tuning report -- Revscoring version: 2.0.5 -- Features: editquality.feature_lists.trwiki.damaging -- Date: 2017-09-14T21:26:09.355734 -- Observations: 19523 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9072 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=5 | -| RandomForestClassifier | 0.9065 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9064 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9061 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9058 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=1 | -| RandomForestClassifier | 0.9057 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| GradientBoosting | 0.9056 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=1 | -| RandomForestClassifier | 0.9056 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9054 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| RandomForestClassifier | 0.9054 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | - -# Models -## GaussianNB -| roc_auc.labels.true | params | -|| - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9072 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=5 | -| 0.9058 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9056 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.9054 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=5 | -| 0.9052 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.9046 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.9044 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=3 | -| 0.9042 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=7 | -| 0.9042 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=7 | -| 0.904 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=1 | -| 0.904 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.9037 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9034 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.9028 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=3 | -| 0.9023 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=7 | -| 0.9019 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=1 | -| 0.9012 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=5 | -| 0.9006 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.8999 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=3 | -| 0.8992 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=1 | -| 0.8985 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.8983 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=3 | -| 0.8977 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.8976 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=7 | -| 0.8975 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=1 | -| 0.8949 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=3 | -| 0.8944 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=5 | -| 0.8941 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=1 | -| 0.8938 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.8928 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=3 | -| 0.8926 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=1 | -| 0.8924 | learning_rate=0.1, n_estimators=300, max_features="log2", max_depth=7 | -| 0.8901 | learning_rate=0.1, n_estimators=100, max_features="log2", max_depth=1 | -| 0.8891 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.889 | learning_rate=0.1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.8884 | learning_rate=0.01, n_estimators=700, max_features="log2", max_depth=1 | -| 0.8873 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=3 | -| 0.8852 | learning_rate=0.01, n_estimators=500, max_features="log2", max_depth=1 | -| 0.8848 | learning_rate=0.1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8819 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=3 | -| 0.8794 | learning_rate=0.01, n_estimators=300, max_features="log2", max_depth=1 | -| 0.8763 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=5 | -| 0.8757 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=3 | -| 0.8746 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=5 | -| 0.8739 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8732 | learning_rate=0.5, n_estimators=700, max_features="log2", max_depth=3 | -| 0.8718 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=5 | -| 0.8713 | learning_rate=0.5, n_estimators=500, max_features="log2", max_depth=7 | -| 0.8708 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=3 | -| 0.8706 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=5 | -| 0.87 | learning_rate=0.5, n_estimators=300, max_features="log2", max_depth=7 | -| 0.8672 | learning_rate=0.01, n_estimators=100, max_features="log2", max_depth=1 | -| 0.8655 | learning_rate=0.5, n_estimators=100, max_features="log2", max_depth=7 | -| 0.8591 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=5 | -| 0.8587 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=3 | -| 0.8566 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=5 | -| 0.8558 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=7 | -| 0.8553 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=5 | -| 0.8535 | learning_rate=1, n_estimators=700, max_features="log2", max_depth=7 | -| 0.8516 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=3 | -| 0.8484 | learning_rate=1, n_estimators=300, max_features="log2", max_depth=7 | -| 0.8484 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=7 | -| 0.8426 | learning_rate=1, n_estimators=100, max_features="log2", max_depth=5 | -| 0.8425 | learning_rate=1, n_estimators=500, max_features="log2", max_depth=3 | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9065 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9064 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9061 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9057 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9056 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9054 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9054 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9052 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9051 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.905 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.905 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9049 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9049 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9047 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9046 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9045 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9045 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9044 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9044 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9042 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9042 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9042 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9041 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9039 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9038 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9036 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9033 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9024 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9024 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9023 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.901 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9009 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9009 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9007 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9002 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8997 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8995 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8992 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8992 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8991 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8977 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8957 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8947 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8946 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8937 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8935 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8934 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8929 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8927 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.89 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8881 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8831 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.882 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8789 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.874 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8713 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8633 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8151 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8117 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8407 | | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8967 | penalty="l1", C=1 | -| 0.8965 | penalty="l1", C=10 | -| 0.8927 | penalty="l1", C=0.1 | -| 0.6719 | penalty="l2", C=1 | -| 0.6642 | penalty="l2", C=0.1 | -| 0.6572 | penalty="l2", C=10 | - diff --git a/tuning_reports/trwiki.goodfaith.md b/tuning_reports/trwiki.goodfaith.md deleted file mode 100644 index a7f93e28..00000000 --- a/tuning_reports/trwiki.goodfaith.md +++ /dev/null @@ -1,175 +0,0 @@ -# Model tuning report -- Revscoring version: 2.0.5 -- Features: editquality.feature_lists.trwiki.goodfaith -- Date: 2017-09-15T01:25:46.461389 -- Observations: 19523 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------| -| GradientBoosting | 0.9065 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.01 | -| GradientBoosting | 0.9063 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.01 | -| RandomForestClassifier | 0.9058 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9056 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9056 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.9051 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| RandomForestClassifier | 0.905 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | -| GradientBoosting | 0.9049 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.1 | -| RandomForestClassifier | 0.9049 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| RandomForestClassifier | 0.9048 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | - -# Models -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8408 | | - -## GaussianNB -| roc_auc.labels.true | params | -|| - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8972 | C=10, penalty="l1" | -| 0.8962 | C=1, penalty="l1" | -| 0.8929 | C=0.1, penalty="l1" | -| 0.6305 | C=0.1, penalty="l2" | -| 0.6086 | C=10, penalty="l2" | -| 0.5853 | C=1, penalty="l2" | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9058 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9056 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9056 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9051 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=320 | -| 0.905 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9049 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9048 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9047 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9042 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.904 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9038 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9037 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9033 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=160 | -| 0.9033 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.903 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=160 | -| 0.903 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9029 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9029 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9027 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.9025 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=320 | -| 0.9024 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9024 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9022 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9017 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.9014 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9014 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9013 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=40 | -| 0.9012 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=320 | -| 0.9006 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=80 | -| 0.9004 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.9 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=160 | -| 0.8996 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.899 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.899 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8989 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8989 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8985 | min_samples_leaf=13, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8983 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=160 | -| 0.898 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=20 | -| 0.897 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8968 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8967 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8965 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8944 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=80 | -| 0.8934 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=80 | -| 0.8927 | min_samples_leaf=13, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8922 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8911 | min_samples_leaf=7, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8901 | min_samples_leaf=7, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8895 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8858 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=40 | -| 0.8852 | min_samples_leaf=5, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.885 | min_samples_leaf=5, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8818 | min_samples_leaf=3, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8814 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=40 | -| 0.8752 | min_samples_leaf=3, criterion="gini", max_features="log2", n_estimators=10 | -| 0.8536 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=20 | -| 0.8512 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=20 | -| 0.8214 | min_samples_leaf=1, criterion="entropy", max_features="log2", n_estimators=10 | -| 0.8021 | min_samples_leaf=1, criterion="gini", max_features="log2", n_estimators=10 | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9065 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9063 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9049 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9047 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9045 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.9044 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.9042 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.9032 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.9029 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.9027 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9027 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.9014 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.9013 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.8998 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.8997 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.8995 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.8995 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.8994 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.8992 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.8979 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.8977 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.8971 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.8969 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.8964 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.8964 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.8961 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.8961 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.8929 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.8919 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.8909 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.8896 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.8894 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.8892 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.8891 | max_depth=1, max_features="log2", n_estimators=700, learning_rate=0.01 | -| 0.889 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.1 | -| 0.8887 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.1 | -| 0.8872 | max_depth=1, max_features="log2", n_estimators=500, learning_rate=0.01 | -| 0.8869 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.1 | -| 0.8841 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.1 | -| 0.8804 | max_depth=1, max_features="log2", n_estimators=300, learning_rate=0.01 | -| 0.8802 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.8765 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.8759 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.8747 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.8743 | max_depth=1, max_features="log2", n_estimators=100, learning_rate=0.01 | -| 0.8737 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=0.5 | -| 0.8733 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=0.5 | -| 0.8727 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.8698 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.8697 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.866 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=0.5 | -| 0.8646 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=0.5 | -| 0.8636 | max_depth=3, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.8597 | max_depth=3, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.8569 | max_depth=5, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.8556 | max_depth=5, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.8555 | max_depth=5, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.8552 | max_depth=3, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.8526 | max_depth=7, max_features="log2", n_estimators=300, learning_rate=1 | -| 0.8501 | max_depth=5, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.8483 | max_depth=7, max_features="log2", n_estimators=100, learning_rate=1 | -| 0.8455 | max_depth=7, max_features="log2", n_estimators=700, learning_rate=1 | -| 0.8427 | max_depth=7, max_features="log2", n_estimators=500, learning_rate=1 | -| 0.8367 | max_depth=3, max_features="log2", n_estimators=500, learning_rate=1 | - diff --git a/tuning_reports/ukwiki.damaging.md b/tuning_reports/ukwiki.damaging.md deleted file mode 100644 index d9221c93..00000000 --- a/tuning_reports/ukwiki.damaging.md +++ /dev/null @@ -1,442 +0,0 @@ -# Model tuning report -- Revscoring version: 2.6.9 -- Features: editquality.feature_lists.ukwiki.damaging -- Date: 2020-06-04T16:51:20.758343 -- Observations: 19236 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:--------------------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9521 | min_samples_leaf=5, n_estimators=640, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9518 | min_samples_leaf=3, n_estimators=640, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9506 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9506 | min_samples_leaf=5, n_estimators=320, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9505 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| GradientBoosting | 0.9504 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=7 | -| RandomForestClassifier | 0.9503 | min_samples_leaf=7, n_estimators=640, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9503 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=5 | -| GradientBoosting | 0.9502 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=5 | -| GradientBoosting | 0.9501 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=7 | - -# Models -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.7225 | | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8609 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9505 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9504 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.9503 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9502 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9501 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.9499 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.9499 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9497 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9497 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9496 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.9495 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.9495 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9493 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9492 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9492 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9492 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9491 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9491 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.949 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.949 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.949 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.9489 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9486 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.9486 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9485 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.9485 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9484 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9484 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.9484 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9483 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9481 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.9479 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.9479 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.9479 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9479 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.9478 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9477 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.9477 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9476 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.9476 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9476 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.9476 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9475 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9475 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9475 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9474 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9474 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9474 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9472 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9472 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9472 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9471 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9471 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9469 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9468 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.9467 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9467 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9466 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.9465 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9465 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9464 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9464 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9462 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.9462 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.9462 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9461 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.946 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9459 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.9459 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9457 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9457 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9456 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9455 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9455 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9455 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.9455 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9455 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9453 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9453 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.9453 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.9452 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9452 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9452 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9451 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.945 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9449 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9449 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9449 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9448 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.9446 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9446 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9446 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9445 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9444 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9441 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9441 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9438 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9436 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.9435 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9434 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9431 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.943 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9429 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9429 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9428 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9426 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9425 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9424 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.942 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.942 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9419 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9417 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9416 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9415 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9412 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9411 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9411 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9408 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.9407 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9407 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9404 | n_estimators=700, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9403 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9402 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.94 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9398 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9398 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9396 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9396 | n_estimators=100, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9394 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9389 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9388 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.9387 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9386 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9385 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9384 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9384 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.938 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9379 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9379 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9379 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9378 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9376 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9375 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9375 | n_estimators=500, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9372 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9371 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.937 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9364 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9362 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9359 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9352 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.9348 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9344 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9342 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.934 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9339 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9338 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9331 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9331 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.933 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9329 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.9322 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9322 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9322 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9321 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9318 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.9318 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9317 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9315 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9313 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9309 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.9309 | n_estimators=300, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9307 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9304 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9303 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9289 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.928 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9277 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9275 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9273 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9271 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9258 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9258 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9248 | n_estimators=300, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.9248 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.924 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.924 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9236 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9231 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.9229 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9215 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9209 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9207 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9207 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9204 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9204 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9197 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9185 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9175 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9173 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9173 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9171 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9169 | n_estimators=100, learning_rate=0.01, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9167 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9164 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9161 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9122 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9101 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9095 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9093 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9024 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.9016 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8957 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8931 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8931 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8926 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8903 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8896 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8895 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8884 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8865 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.8849 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8842 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8792 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8791 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8774 | n_estimators=500, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8733 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.873 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8722 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8714 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8679 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8669 | n_estimators=700, learning_rate=0.1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.865 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8623 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8599 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8593 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8563 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8545 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.8538 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8524 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8481 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8472 | n_estimators=100, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8448 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.8439 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8438 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8415 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8413 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8405 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8397 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8394 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8379 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8378 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.837 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8367 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8367 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.8365 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8362 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8351 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8345 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8336 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8334 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.832 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.83 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8295 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8292 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.829 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8288 | n_estimators=300, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8274 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8267 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8229 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8225 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8224 | n_estimators=700, learning_rate=0.5, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8217 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8179 | n_estimators=500, learning_rate=0.5, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8176 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8168 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8108 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8085 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8066 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.805 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8021 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.7959 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.7937 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.7934 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.792 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.7918 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.7913 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.7906 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.7894 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.7889 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.7864 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.7863 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.7861 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.7855 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.7854 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.784 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.784 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.783 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.7816 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.7781 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.778 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.7777 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.7774 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.7759 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.7754 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.7752 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.7742 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.7742 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.773 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.7691 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.7674 | n_estimators=300, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.7665 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.7618 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.7494 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.7468 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.7375 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.7332 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.729 | n_estimators=100, learning_rate=1, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.7195 | n_estimators=500, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.7023 | n_estimators=700, learning_rate=1, max_features="log2", min_samples_leaf=5, max_depth=3 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8995 | C=0.1, penalty="l1" | -| 0.8723 | C=10, penalty="l1" | -| 0.8701 | C=1, penalty="l1" | -| 0.6118 | C=0.1, penalty="l2" | -| 0.5736 | C=1, penalty="l2" | -| 0.5528 | C=10, penalty="l2" | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9521 | min_samples_leaf=5, n_estimators=640, criterion="entropy", max_features="log2" | -| 0.9518 | min_samples_leaf=3, n_estimators=640, criterion="entropy", max_features="log2" | -| 0.9506 | min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9506 | min_samples_leaf=5, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9503 | min_samples_leaf=7, n_estimators=640, criterion="entropy", max_features="log2" | -| 0.9498 | min_samples_leaf=13, n_estimators=640, criterion="entropy", max_features="log2" | -| 0.9495 | min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9495 | min_samples_leaf=3, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9492 | min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9486 | min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9485 | min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9483 | min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9482 | min_samples_leaf=1, n_estimators=640, criterion="entropy", max_features="log2" | -| 0.9478 | min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.947 | min_samples_leaf=7, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9464 | min_samples_leaf=13, n_estimators=640, criterion="gini", max_features="log2" | -| 0.9459 | min_samples_leaf=5, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9458 | min_samples_leaf=5, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9455 | min_samples_leaf=1, n_estimators=320, criterion="entropy", max_features="log2" | -| 0.9454 | min_samples_leaf=3, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9451 | min_samples_leaf=3, n_estimators=640, criterion="gini", max_features="log2" | -| 0.9448 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9447 | min_samples_leaf=7, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9446 | min_samples_leaf=13, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9446 | min_samples_leaf=7, n_estimators=640, criterion="gini", max_features="log2" | -| 0.9446 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9446 | min_samples_leaf=5, n_estimators=640, criterion="gini", max_features="log2" | -| 0.944 | min_samples_leaf=13, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9435 | min_samples_leaf=13, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9431 | min_samples_leaf=3, n_estimators=320, criterion="gini", max_features="log2" | -| 0.943 | min_samples_leaf=1, n_estimators=160, criterion="entropy", max_features="log2" | -| 0.9427 | min_samples_leaf=7, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9424 | min_samples_leaf=5, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9424 | min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9413 | min_samples_leaf=5, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9407 | min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9407 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | -| 0.94 | min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2" | -| 0.94 | min_samples_leaf=1, n_estimators=640, criterion="gini", max_features="log2" | -| 0.9398 | min_samples_leaf=7, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9397 | min_samples_leaf=1, n_estimators=320, criterion="gini", max_features="log2" | -| 0.9394 | min_samples_leaf=3, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9382 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9376 | min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9372 | min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9364 | min_samples_leaf=1, n_estimators=80, criterion="entropy", max_features="log2" | -| 0.9361 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9359 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9338 | min_samples_leaf=1, n_estimators=160, criterion="gini", max_features="log2" | -| 0.9329 | min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9326 | min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9321 | min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9306 | min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9296 | min_samples_leaf=1, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9283 | min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9279 | min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9274 | min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.924 | min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9229 | min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9216 | min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9184 | min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9176 | min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9075 | min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9069 | min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9027 | min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9012 | min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.892 | min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8808 | min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2" | -| 0.8371 | min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8309 | min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2" | - diff --git a/tuning_reports/ukwiki.goodfaith.md b/tuning_reports/ukwiki.goodfaith.md deleted file mode 100644 index 8fc1e389..00000000 --- a/tuning_reports/ukwiki.goodfaith.md +++ /dev/null @@ -1,442 +0,0 @@ -# Model tuning report -- Revscoring version: 2.6.9 -- Features: editquality.feature_lists.ukwiki.goodfaith -- Date: 2020-06-04T18:17:09.282961 -- Observations: 19236 -- Labels: [true, false] -- Statistic: roc_auc.labels.false (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.false | params | -|:-----------------|-----------------------:|:--------------------------------------------------------------------------------------------| -| GradientBoosting | 0.9573 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | -| GradientBoosting | 0.957 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | -| GradientBoosting | 0.9566 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | -| GradientBoosting | 0.9566 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | -| GradientBoosting | 0.9566 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | -| GradientBoosting | 0.9565 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | -| GradientBoosting | 0.9565 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | -| GradientBoosting | 0.9564 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | -| GradientBoosting | 0.9564 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | -| GradientBoosting | 0.9563 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | - -# Models -## BernoulliNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.8743 | | - -## GaussianNB -| roc_auc.labels.false | params | -|-----------------------:|:---------| -| 0.6998 | | - -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9573 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | -| 0.957 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | -| 0.9566 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | -| 0.9566 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | -| 0.9566 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | -| 0.9565 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | -| 0.9565 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | -| 0.9564 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | -| 0.9564 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | -| 0.9563 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | -| 0.9563 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | -| 0.9563 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | -| 0.9563 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | -| 0.9562 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | -| 0.9561 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | -| 0.956 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | -| 0.956 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | -| 0.956 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | -| 0.9559 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | -| 0.9558 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | -| 0.9558 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | -| 0.9558 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | -| 0.9557 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | -| 0.9557 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | -| 0.9556 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | -| 0.9556 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | -| 0.9556 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | -| 0.9556 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | -| 0.9556 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | -| 0.9555 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | -| 0.9555 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | -| 0.9552 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | -| 0.9552 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | -| 0.9552 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | -| 0.9552 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | -| 0.9551 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | -| 0.9551 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | -| 0.9551 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | -| 0.9551 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | -| 0.955 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | -| 0.955 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | -| 0.955 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | -| 0.955 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | -| 0.955 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | -| 0.955 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | -| 0.9549 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | -| 0.9549 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | -| 0.9548 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | -| 0.9548 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | -| 0.9547 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | -| 0.9546 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | -| 0.9544 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | -| 0.9544 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | -| 0.9544 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | -| 0.9543 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | -| 0.9542 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | -| 0.9542 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | -| 0.9541 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | -| 0.954 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | -| 0.9539 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | -| 0.9539 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | -| 0.9539 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | -| 0.9538 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | -| 0.9538 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | -| 0.9538 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | -| 0.9537 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | -| 0.9537 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | -| 0.9535 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | -| 0.9534 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | -| 0.9534 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | -| 0.9534 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=0.01 | -| 0.9532 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=0.1 | -| 0.9532 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | -| 0.9532 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | -| 0.9531 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | -| 0.9531 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | -| 0.9531 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=0.01 | -| 0.953 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | -| 0.9529 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | -| 0.9528 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | -| 0.9527 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | -| 0.9527 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | -| 0.9527 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=0.01 | -| 0.9526 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | -| 0.9526 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | -| 0.9526 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | -| 0.9525 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | -| 0.9525 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | -| 0.9524 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | -| 0.9524 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=0.5 | -| 0.9524 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | -| 0.9524 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | -| 0.9524 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | -| 0.9523 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=0.1 | -| 0.9523 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | -| 0.9523 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | -| 0.9522 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | -| 0.9521 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=0.01 | -| 0.9521 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | -| 0.952 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | -| 0.952 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | -| 0.952 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | -| 0.952 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | -| 0.952 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=0.5 | -| 0.9516 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | -| 0.9515 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | -| 0.9515 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=0.5 | -| 0.9515 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=0.01 | -| 0.9513 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=0.01 | -| 0.9513 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=0.5 | -| 0.9512 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | -| 0.9509 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=0.01 | -| 0.9509 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=0.1 | -| 0.9508 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=0.1 | -| 0.9505 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=0.1 | -| 0.9503 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=0.01 | -| 0.9502 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=0.01 | -| 0.9501 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=0.5 | -| 0.95 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=0.1 | -| 0.9497 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=0.1 | -| 0.9495 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=0.01 | -| 0.9493 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | -| 0.9489 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | -| 0.9487 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=0.1 | -| 0.9485 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | -| 0.9479 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | -| 0.9478 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | -| 0.9477 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=0.1 | -| 0.9477 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=0.1 | -| 0.9473 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | -| 0.9472 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=1 | -| 0.9466 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | -| 0.9466 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | -| 0.9465 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | -| 0.9465 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | -| 0.9462 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | -| 0.9459 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | -| 0.9451 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=1 | -| 0.9451 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=1 | -| 0.9438 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=1 | -| 0.9437 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=0.01 | -| 0.9432 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=0.01 | -| 0.9431 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | -| 0.943 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=0.01 | -| 0.9429 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=1 | -| 0.9428 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | -| 0.9428 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=1 | -| 0.9425 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=0.01 | -| 0.9422 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=1 | -| 0.9414 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=0.01 | -| 0.9414 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=1 | -| 0.9411 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | -| 0.9407 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | -| 0.9407 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | -| 0.9401 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=1 | -| 0.9393 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | -| 0.9392 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=5, learning_rate=1 | -| 0.9387 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=1 | -| 0.9381 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=1, learning_rate=1 | -| 0.9378 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=5, learning_rate=1 | -| 0.9376 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | -| 0.9369 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=3, learning_rate=1 | -| 0.9366 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=1, learning_rate=1 | -| 0.9365 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | -| 0.9365 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | -| 0.9354 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | -| 0.9347 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=13, learning_rate=1 | -| 0.9346 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | -| 0.9343 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | -| 0.9336 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | -| 0.9317 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | -| 0.9316 | max_features="log2", n_estimators=300, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | -| 0.9311 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=3, learning_rate=1 | -| 0.9296 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | -| 0.9294 | max_features="log2", n_estimators=500, max_depth=1, min_samples_leaf=13, learning_rate=1 | -| 0.9278 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | -| 0.9276 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | -| 0.9275 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | -| 0.9245 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | -| 0.924 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=0.01 | -| 0.924 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=13, learning_rate=0.01 | -| 0.9236 | max_features="log2", n_estimators=700, max_depth=1, min_samples_leaf=7, learning_rate=1 | -| 0.9224 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=1, learning_rate=0.01 | -| 0.9224 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=3, learning_rate=0.01 | -| 0.9211 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | -| 0.9204 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | -| 0.9197 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | -| 0.9192 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | -| 0.9189 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=5, learning_rate=0.01 | -| 0.9179 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | -| 0.9157 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | -| 0.9129 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | -| 0.9092 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | -| 0.9088 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | -| 0.906 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=0.1 | -| 0.905 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=0.1 | -| 0.9028 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | -| 0.9024 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | -| 0.9022 | max_features="log2", n_estimators=100, max_depth=1, min_samples_leaf=7, learning_rate=1 | -| 0.9014 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=0.1 | -| 0.8962 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | -| 0.8955 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | -| 0.895 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=5, learning_rate=1 | -| 0.8947 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=0.1 | -| 0.892 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=13, learning_rate=1 | -| 0.8916 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=0.1 | -| 0.8884 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | -| 0.8748 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | -| 0.8738 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | -| 0.8723 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | -| 0.8716 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | -| 0.8698 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=1, learning_rate=1 | -| 0.8698 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | -| 0.8678 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=3, learning_rate=1 | -| 0.8561 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | -| 0.8547 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | -| 0.8517 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=0.1 | -| 0.8486 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | -| 0.8486 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | -| 0.847 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=0.1 | -| 0.84 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | -| 0.8399 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=0.1 | -| 0.8395 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=0.1 | -| 0.839 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=1, learning_rate=1 | -| 0.838 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=0.1 | -| 0.8315 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=0.5 | -| 0.83 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=0.5 | -| 0.8265 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=7, learning_rate=1 | -| 0.823 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | -| 0.8218 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | -| 0.8208 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=0.5 | -| 0.8206 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | -| 0.8205 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=0.5 | -| 0.8198 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | -| 0.8196 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | -| 0.8189 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | -| 0.8186 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | -| 0.8176 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=0.5 | -| 0.8147 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | -| 0.8139 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | -| 0.8127 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | -| 0.8122 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | -| 0.8105 | max_features="log2", n_estimators=100, max_depth=3, min_samples_leaf=7, learning_rate=1 | -| 0.8101 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | -| 0.8095 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | -| 0.809 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | -| 0.8085 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | -| 0.8074 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | -| 0.8068 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=0.5 | -| 0.8058 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=3, learning_rate=1 | -| 0.8054 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | -| 0.8054 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | -| 0.8052 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | -| 0.8051 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | -| 0.8039 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | -| 0.8031 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=0.5 | -| 0.8013 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | -| 0.8011 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=0.5 | -| 0.8004 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | -| 0.8001 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=0.5 | -| 0.7989 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | -| 0.7985 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=0.5 | -| 0.798 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=0.5 | -| 0.7966 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=0.5 | -| 0.7956 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=0.5 | -| 0.7925 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | -| 0.7921 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=0.5 | -| 0.788 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=0.5 | -| 0.7825 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=13, learning_rate=1 | -| 0.7793 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=1, learning_rate=1 | -| 0.7793 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=3, learning_rate=1 | -| 0.777 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=5, learning_rate=1 | -| 0.7739 | max_features="log2", n_estimators=300, max_depth=3, min_samples_leaf=5, learning_rate=1 | -| 0.7729 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=1, learning_rate=1 | -| 0.7723 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=1, learning_rate=1 | -| 0.769 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=13, learning_rate=1 | -| 0.7683 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=7, learning_rate=1 | -| 0.768 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=1, learning_rate=1 | -| 0.7673 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=5, learning_rate=1 | -| 0.7653 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=1, learning_rate=1 | -| 0.765 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=5, learning_rate=1 | -| 0.7634 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=3, learning_rate=1 | -| 0.7619 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=3, learning_rate=1 | -| 0.7614 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=13, learning_rate=1 | -| 0.7606 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=1, learning_rate=1 | -| 0.7602 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=3, learning_rate=1 | -| 0.7594 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=3, learning_rate=1 | -| 0.7573 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=1, learning_rate=1 | -| 0.7573 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=1, learning_rate=1 | -| 0.7569 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=3, learning_rate=1 | -| 0.7557 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=13, learning_rate=1 | -| 0.7543 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=13, learning_rate=1 | -| 0.7537 | max_features="log2", n_estimators=100, max_depth=5, min_samples_leaf=5, learning_rate=1 | -| 0.7527 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=7, learning_rate=1 | -| 0.7469 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=7, learning_rate=1 | -| 0.7466 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=13, learning_rate=1 | -| 0.7436 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=3, learning_rate=1 | -| 0.7425 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=5, learning_rate=1 | -| 0.7409 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=3, learning_rate=1 | -| 0.7401 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=7, learning_rate=1 | -| 0.7381 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=3, learning_rate=1 | -| 0.7362 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=13, learning_rate=1 | -| 0.7347 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=1, learning_rate=1 | -| 0.7328 | max_features="log2", n_estimators=100, max_depth=7, min_samples_leaf=1, learning_rate=1 | -| 0.7224 | max_features="log2", n_estimators=300, max_depth=5, min_samples_leaf=5, learning_rate=1 | -| 0.7202 | max_features="log2", n_estimators=500, max_depth=5, min_samples_leaf=7, learning_rate=1 | -| 0.7132 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=5, learning_rate=1 | -| 0.7103 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=3, learning_rate=1 | -| 0.7091 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=13, learning_rate=1 | -| 0.7064 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=7, learning_rate=1 | -| 0.7038 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=7, learning_rate=1 | -| 0.6973 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=13, learning_rate=1 | -| 0.6851 | max_features="log2", n_estimators=300, max_depth=7, min_samples_leaf=5, learning_rate=1 | -| 0.6727 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=7, learning_rate=1 | -| 0.6709 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=5, learning_rate=1 | -| 0.6679 | max_features="log2", n_estimators=500, max_depth=7, min_samples_leaf=7, learning_rate=1 | -| 0.6669 | max_features="log2", n_estimators=700, max_depth=3, min_samples_leaf=7, learning_rate=1 | -| 0.6628 | max_features="log2", n_estimators=700, max_depth=7, min_samples_leaf=13, learning_rate=1 | -| 0.6547 | max_features="log2", n_estimators=500, max_depth=3, min_samples_leaf=13, learning_rate=1 | -| 0.6436 | max_features="log2", n_estimators=700, max_depth=5, min_samples_leaf=5, learning_rate=1 | - -## LogisticRegression -| roc_auc.labels.false | params | -|-----------------------:|:--------------------| -| 0.8836 | C=0.1, penalty="l1" | -| 0.8826 | C=1, penalty="l1" | -| 0.8774 | C=10, penalty="l1" | -| 0.6028 | C=1, penalty="l2" | -| 0.5527 | C=0.1, penalty="l2" | -| 0.5178 | C=10, penalty="l2" | - -## RandomForestClassifier -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------| -| 0.9551 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=13 | -| 0.955 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=3 | -| 0.9549 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=13 | -| 0.9541 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=7 | -| 0.9541 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=1 | -| 0.954 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=13 | -| 0.9539 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=3 | -| 0.9535 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=7 | -| 0.9535 | criterion="entropy", max_features="log2", n_estimators=640, min_samples_leaf=5 | -| 0.9533 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=13 | -| 0.9531 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=7 | -| 0.9526 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=5 | -| 0.9525 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=7 | -| 0.9524 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=13 | -| 0.9516 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=5 | -| 0.9513 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=7 | -| 0.9511 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=3 | -| 0.9499 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=7 | -| 0.9498 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=13 | -| 0.9493 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=5 | -| 0.9489 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=13 | -| 0.9486 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=13 | -| 0.9484 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=13 | -| 0.9477 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=5 | -| 0.9475 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=7 | -| 0.9466 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=13 | -| 0.9466 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=5 | -| 0.9462 | criterion="entropy", max_features="log2", n_estimators=320, min_samples_leaf=1 | -| 0.9461 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=7 | -| 0.946 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=3 | -| 0.9458 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=5 | -| 0.9456 | criterion="entropy", max_features="log2", n_estimators=160, min_samples_leaf=1 | -| 0.9455 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=5 | -| 0.9452 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=3 | -| 0.9447 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=3 | -| 0.9447 | criterion="gini", max_features="log2", n_estimators=640, min_samples_leaf=1 | -| 0.9435 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=3 | -| 0.9428 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=13 | -| 0.9411 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=3 | -| 0.9409 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=13 | -| 0.9402 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=7 | -| 0.939 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=5 | -| 0.9389 | criterion="gini", max_features="log2", n_estimators=320, min_samples_leaf=1 | -| 0.9385 | criterion="gini", max_features="log2", n_estimators=160, min_samples_leaf=1 | -| 0.9385 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=5 | -| 0.9382 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=7 | -| 0.937 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=13 | -| 0.9369 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=3 | -| 0.9349 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=7 | -| 0.9346 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=3 | -| 0.934 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=3 | -| 0.9309 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=7 | -| 0.9303 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=5 | -| 0.9292 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=7 | -| 0.9291 | criterion="entropy", max_features="log2", n_estimators=80, min_samples_leaf=1 | -| 0.9251 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=5 | -| 0.9229 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=3 | -| 0.9196 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=13 | -| 0.919 | criterion="gini", max_features="log2", n_estimators=80, min_samples_leaf=1 | -| 0.9139 | criterion="entropy", max_features="log2", n_estimators=40, min_samples_leaf=1 | -| 0.9119 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=7 | -| 0.909 | criterion="gini", max_features="log2", n_estimators=40, min_samples_leaf=1 | -| 0.9001 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=5 | -| 0.8995 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=3 | -| 0.8981 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=5 | -| 0.8898 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=3 | -| 0.8775 | criterion="entropy", max_features="log2", n_estimators=20, min_samples_leaf=1 | -| 0.8693 | criterion="gini", max_features="log2", n_estimators=20, min_samples_leaf=1 | -| 0.8189 | criterion="entropy", max_features="log2", n_estimators=10, min_samples_leaf=1 | -| 0.8075 | criterion="gini", max_features="log2", n_estimators=10, min_samples_leaf=1 | - diff --git a/tuning_reports/ukwiki.reverted.md b/tuning_reports/ukwiki.reverted.md deleted file mode 100644 index 179001ca..00000000 --- a/tuning_reports/ukwiki.reverted.md +++ /dev/null @@ -1,175 +0,0 @@ -# Model tuning report -- Revscoring version: 2.0.5 -- Features: editquality.feature_lists.ukwiki.reverted -- Date: 2017-09-15T05:05:02.117608 -- Observations: 19826 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.8656 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2" | -| GradientBoosting | 0.8637 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2" | -| GradientBoosting | 0.8628 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.8623 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2" | -| GradientBoosting | 0.8621 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2" | -| GradientBoosting | 0.862 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2" | -| RandomForestClassifier | 0.8614 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.8611 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2" | -| RandomForestClassifier | 0.8606 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.8602 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2" | - -# Models -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.8656 | learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2" | -| 0.8637 | learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2" | -| 0.8628 | learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2" | -| 0.8623 | learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2" | -| 0.8621 | learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2" | -| 0.862 | learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2" | -| 0.8611 | learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2" | -| 0.8602 | learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2" | -| 0.86 | learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2" | -| 0.8584 | learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2" | -| 0.8582 | learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2" | -| 0.8574 | learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2" | -| 0.8568 | learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2" | -| 0.8557 | learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2" | -| 0.8555 | learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2" | -| 0.8536 | learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2" | -| 0.8528 | learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2" | -| 0.8516 | learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2" | -| 0.8506 | learning_rate=1, max_depth=1, n_estimators=100, max_features="log2" | -| 0.8496 | learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2" | -| 0.849 | learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2" | -| 0.8461 | learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2" | -| 0.8435 | learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2" | -| 0.8433 | learning_rate=0.1, max_depth=1, n_estimators=100, max_features="log2" | -| 0.8426 | learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2" | -| 0.8424 | learning_rate=1, max_depth=1, n_estimators=300, max_features="log2" | -| 0.8417 | learning_rate=0.01, max_depth=1, n_estimators=700, max_features="log2" | -| 0.8375 | learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2" | -| 0.8363 | learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2" | -| 0.836 | learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2" | -| 0.8321 | learning_rate=0.01, max_depth=1, n_estimators=500, max_features="log2" | -| 0.8316 | learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2" | -| 0.8301 | learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2" | -| 0.8296 | learning_rate=1, max_depth=1, n_estimators=700, max_features="log2" | -| 0.8296 | learning_rate=0.01, max_depth=1, n_estimators=300, max_features="log2" | -| 0.8277 | learning_rate=1, max_depth=1, n_estimators=500, max_features="log2" | -| 0.8272 | learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2" | -| 0.8241 | learning_rate=0.1, max_depth=7, n_estimators=500, max_features="log2" | -| 0.8234 | learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2" | -| 0.8227 | learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2" | -| 0.8138 | learning_rate=0.5, max_depth=5, n_estimators=100, max_features="log2" | -| 0.8096 | learning_rate=0.01, max_depth=1, n_estimators=100, max_features="log2" | -| 0.8092 | learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2" | -| 0.8079 | learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2" | -| 0.8057 | learning_rate=0.5, max_depth=3, n_estimators=300, max_features="log2" | -| 0.805 | learning_rate=0.5, max_depth=3, n_estimators=500, max_features="log2" | -| 0.8041 | learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2" | -| 0.8039 | learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2" | -| 0.8035 | learning_rate=0.5, max_depth=3, n_estimators=700, max_features="log2" | -| 0.7994 | learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2" | -| 0.7957 | learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2" | -| 0.7956 | learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2" | -| 0.786 | learning_rate=1, max_depth=3, n_estimators=700, max_features="log2" | -| 0.7827 | learning_rate=1, max_depth=3, n_estimators=300, max_features="log2" | -| 0.7796 | learning_rate=1, max_depth=5, n_estimators=500, max_features="log2" | -| 0.7733 | learning_rate=1, max_depth=3, n_estimators=100, max_features="log2" | -| 0.7675 | learning_rate=1, max_depth=5, n_estimators=300, max_features="log2" | -| 0.7655 | learning_rate=1, max_depth=5, n_estimators=700, max_features="log2" | -| 0.7646 | learning_rate=1, max_depth=7, n_estimators=500, max_features="log2" | -| 0.7587 | learning_rate=1, max_depth=7, n_estimators=100, max_features="log2" | -| 0.7491 | learning_rate=1, max_depth=5, n_estimators=100, max_features="log2" | -| 0.7473 | learning_rate=1, max_depth=7, n_estimators=300, max_features="log2" | -| 0.741 | learning_rate=1, max_depth=3, n_estimators=500, max_features="log2" | -| 0.7374 | learning_rate=1, max_depth=7, n_estimators=700, max_features="log2" | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8484 | C=1, penalty="l1" | -| 0.8464 | C=10, penalty="l1" | -| 0.8463 | C=0.1, penalty="l1" | -| 0.5534 | C=1, penalty="l2" | -| 0.5498 | C=0.1, penalty="l2" | -| 0.5085 | C=10, penalty="l2" | - -## GaussianNB -| roc_auc.labels.true | params | -|| - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.7486 | | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.8614 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8606 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.86 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8599 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8598 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8598 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8597 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8585 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8585 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8583 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.858 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8579 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8571 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.857 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8569 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8565 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.856 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.855 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8547 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8542 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8535 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8513 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8505 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8505 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8504 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.85 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8493 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8493 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8485 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8484 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.8464 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8454 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8432 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.843 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8418 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8408 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.84 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8377 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8376 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.8355 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8302 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8296 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8287 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.8276 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.8263 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8257 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8177 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.814 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.8135 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.8123 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.8094 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.8079 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.8067 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.8024 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.7947 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.7876 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.7671 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.7631 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.7203 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.7062 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | - diff --git a/tuning_reports/viwiki.reverted.md b/tuning_reports/viwiki.reverted.md deleted file mode 100644 index 3f0ca106..00000000 --- a/tuning_reports/viwiki.reverted.md +++ /dev/null @@ -1,145 +0,0 @@ -# Model tuning report -- Revscoring version: 2.0.5 -- Features: editquality.feature_lists.viwiki.reverted -- Date: 2017-09-15T09:03:49.954654 -- Observations: 99607 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| RandomForestClassifier | 0.9577 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9577 | min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2" | -| RandomForestClassifier | 0.9576 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | -| GradientBoosting | 0.9575 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=700 | -| RandomForestClassifier | 0.9573 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9572 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9572 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=500 | -| RandomForestClassifier | 0.9567 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | -| GradientBoosting | 0.9567 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=300 | -| RandomForestClassifier | 0.9564 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | - -# Models -## GaussianNB -| roc_auc.labels.true | params | -|| - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8261 | | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:-------------------------------------------------------------------------------| -| 0.9577 | min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9577 | min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9576 | min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9573 | min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9572 | min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9567 | min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9564 | min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9548 | min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9547 | min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9533 | min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9515 | min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9513 | min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9511 | min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9491 | min_samples_leaf=1, n_estimators=80, criterion="gini", max_features="log2" | -| 0.9486 | min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2" | -| 0.9482 | min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9461 | min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9441 | min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2" | -| 0.944 | min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9425 | min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9393 | min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.9369 | min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9336 | min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2" | -| 0.9297 | min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9289 | min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2" | -| 0.928 | min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2" | -| 0.9144 | min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2" | -| 0.9144 | min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2" | -| 0.9012 | min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2" | -| 0.8939 | min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2" | -| 0.8527 | min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2" | -| 0.8517 | min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2" | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9575 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9572 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9567 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9559 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9539 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9539 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9536 | max_depth=7, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9531 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9525 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.952 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9519 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9517 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9509 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9498 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9486 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.947 | max_depth=5, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9452 | max_depth=3, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.9449 | max_depth=5, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9445 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.9432 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.9426 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9412 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.9402 | max_depth=7, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9396 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.9396 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.9377 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.9368 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.9352 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.9351 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.9347 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.9333 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=700 | -| 0.9331 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.9312 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.9312 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.931 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=500 | -| 0.9308 | max_depth=3, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.9303 | max_depth=1, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.928 | max_depth=1, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.9264 | max_depth=3, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.9253 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=300 | -| 0.9229 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.9228 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.9228 | max_depth=5, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.9224 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=500 | -| 0.922 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=100 | -| 0.9182 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=300 | -| 0.9092 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.9085 | max_depth=1, max_features="log2", learning_rate=0.1, n_estimators=100 | -| 0.903 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=700 | -| 0.8952 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.8946 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=500 | -| 0.8902 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.8855 | max_depth=7, max_features="log2", learning_rate=0.5, n_estimators=700 | -| 0.8769 | max_depth=3, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.8746 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=300 | -| 0.8744 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.8608 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.8586 | max_depth=1, max_features="log2", learning_rate=0.01, n_estimators=100 | -| 0.8553 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=100 | -| 0.8221 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=500 | -| 0.8003 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=300 | -| 0.7531 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.6282 | max_depth=5, max_features="log2", learning_rate=1, n_estimators=700 | -| 0.6246 | max_depth=7, max_features="log2", learning_rate=1, n_estimators=500 | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8598 | penalty="l1", C=10 | -| 0.3371 | penalty="l2", C=1 | -| 0.3334 | penalty="l2", C=0.1 | -| 0.3249 | penalty="l2", C=10 | - diff --git a/tuning_reports/wikidatawiki.damaging.md b/tuning_reports/wikidatawiki.damaging.md deleted file mode 100644 index 76ecf400..00000000 --- a/tuning_reports/wikidatawiki.damaging.md +++ /dev/null @@ -1,186 +0,0 @@ -# Model tuning report -- Revscoring version: 2.2.4 -- Features: editquality.feature_lists.wikidatawiki.damaging -- Date: 2018-08-03T15:22:17.170989 -- Observations: 16451 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.985 | learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| RandomForestClassifier | 0.985 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.985 | learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| GradientBoosting | 0.985 | learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| RandomForestClassifier | 0.9849 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| RandomForestClassifier | 0.9849 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9848 | learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| RandomForestClassifier | 0.9848 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| GradientBoosting | 0.9848 | learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| RandomForestClassifier | 0.9847 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | - -# Models -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9662 | | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.985 | n_estimators=320, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9849 | n_estimators=160, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9849 | n_estimators=640, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9848 | n_estimators=320, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9847 | n_estimators=320, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9847 | n_estimators=640, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9847 | n_estimators=160, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9847 | n_estimators=160, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9846 | n_estimators=640, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9846 | n_estimators=320, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9846 | n_estimators=80, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9845 | n_estimators=160, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9845 | n_estimators=640, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9845 | n_estimators=640, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9845 | n_estimators=640, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9844 | n_estimators=80, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9844 | n_estimators=160, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9844 | n_estimators=640, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9844 | n_estimators=80, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9843 | n_estimators=320, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9843 | n_estimators=80, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9843 | n_estimators=20, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9842 | n_estimators=40, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9842 | n_estimators=160, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9842 | n_estimators=320, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9842 | n_estimators=640, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9841 | n_estimators=320, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9841 | n_estimators=40, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9841 | n_estimators=20, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9841 | n_estimators=80, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9841 | n_estimators=320, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.984 | n_estimators=80, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.984 | n_estimators=160, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9839 | n_estimators=160, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9839 | n_estimators=40, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9839 | n_estimators=40, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9839 | n_estimators=40, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9839 | n_estimators=160, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9838 | n_estimators=320, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9838 | n_estimators=40, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9838 | n_estimators=640, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9837 | n_estimators=640, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9837 | n_estimators=20, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9837 | n_estimators=40, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9836 | n_estimators=20, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9836 | n_estimators=20, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9836 | n_estimators=80, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9836 | n_estimators=320, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9836 | n_estimators=10, min_samples_leaf=3, criterion="gini", max_features="log2" | -| 0.9836 | n_estimators=20, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.9835 | n_estimators=80, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9834 | n_estimators=40, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9834 | n_estimators=80, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9834 | n_estimators=10, min_samples_leaf=5, criterion="entropy", max_features="log2" | -| 0.9834 | n_estimators=160, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9833 | n_estimators=20, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.9831 | n_estimators=10, min_samples_leaf=13, criterion="entropy", max_features="log2" | -| 0.983 | n_estimators=10, min_samples_leaf=7, criterion="entropy", max_features="log2" | -| 0.983 | n_estimators=10, min_samples_leaf=5, criterion="gini", max_features="log2" | -| 0.9829 | n_estimators=40, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9829 | n_estimators=20, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9828 | n_estimators=10, min_samples_leaf=13, criterion="gini", max_features="log2" | -| 0.9828 | n_estimators=10, min_samples_leaf=3, criterion="entropy", max_features="log2" | -| 0.9827 | n_estimators=10, min_samples_leaf=7, criterion="gini", max_features="log2" | -| 0.9824 | n_estimators=80, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9819 | n_estimators=40, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9806 | n_estimators=20, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9804 | n_estimators=20, min_samples_leaf=1, criterion="gini", max_features="log2" | -| 0.9786 | n_estimators=10, min_samples_leaf=1, criterion="entropy", max_features="log2" | -| 0.9775 | n_estimators=10, min_samples_leaf=1, criterion="gini", max_features="log2" | - -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.9835 | penalty="l1", C=10 | -| 0.9834 | penalty="l2", C=10 | -| 0.9832 | penalty="l1", C=1 | -| 0.9828 | penalty="l2", C=1 | -| 0.9804 | penalty="l2", C=0.1 | -| 0.9801 | penalty="l1", C=0.1 | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.985 | learning_rate=0.01, n_estimators=700, max_depth=7, max_features="log2" | -| 0.985 | learning_rate=0.01, n_estimators=700, max_depth=5, max_features="log2" | -| 0.985 | learning_rate=0.01, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9848 | learning_rate=0.01, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9848 | learning_rate=0.01, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9845 | learning_rate=0.01, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9843 | learning_rate=0.1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9842 | learning_rate=0.01, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9841 | learning_rate=0.01, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9839 | learning_rate=0.01, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9838 | learning_rate=0.1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9836 | learning_rate=0.1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9833 | learning_rate=0.1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9831 | learning_rate=0.1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9829 | learning_rate=0.1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9829 | learning_rate=0.01, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9825 | learning_rate=0.01, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9819 | learning_rate=0.1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9818 | learning_rate=0.1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9818 | learning_rate=0.1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9814 | learning_rate=0.5, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9814 | learning_rate=0.1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9808 | learning_rate=0.1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9804 | learning_rate=0.1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9804 | learning_rate=0.5, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9802 | learning_rate=0.1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.9799 | learning_rate=0.1, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9795 | learning_rate=0.01, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9794 | learning_rate=0.5, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9793 | learning_rate=0.1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9791 | learning_rate=0.5, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9789 | learning_rate=0.01, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9782 | learning_rate=0.01, n_estimators=500, max_depth=1, max_features="log2" | -| 0.9776 | learning_rate=0.5, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9772 | learning_rate=0.01, n_estimators=300, max_depth=1, max_features="log2" | -| 0.9759 | learning_rate=0.5, n_estimators=300, max_depth=3, max_features="log2" | -| 0.9756 | learning_rate=0.1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9742 | learning_rate=0.01, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9727 | learning_rate=0.5, n_estimators=500, max_depth=3, max_features="log2" | -| 0.9721 | learning_rate=1, n_estimators=500, max_depth=1, max_features="log2" | -| 0.972 | learning_rate=1, n_estimators=700, max_depth=1, max_features="log2" | -| 0.9699 | learning_rate=1, n_estimators=100, max_depth=3, max_features="log2" | -| 0.9683 | learning_rate=1, n_estimators=300, max_depth=1, max_features="log2" | -| 0.967 | learning_rate=0.5, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9669 | learning_rate=0.5, n_estimators=700, max_depth=5, max_features="log2" | -| 0.9653 | learning_rate=0.5, n_estimators=700, max_depth=7, max_features="log2" | -| 0.9652 | learning_rate=1, n_estimators=100, max_depth=1, max_features="log2" | -| 0.9609 | learning_rate=0.5, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9496 | learning_rate=0.5, n_estimators=300, max_depth=7, max_features="log2" | -| 0.9492 | learning_rate=1, n_estimators=100, max_depth=5, max_features="log2" | -| 0.9472 | learning_rate=0.5, n_estimators=300, max_depth=5, max_features="log2" | -| 0.9377 | learning_rate=1, n_estimators=100, max_depth=7, max_features="log2" | -| 0.9365 | learning_rate=0.5, n_estimators=500, max_depth=5, max_features="log2" | -| 0.9313 | learning_rate=0.5, n_estimators=500, max_depth=7, max_features="log2" | -| 0.9058 | learning_rate=1, n_estimators=700, max_depth=7, max_features="log2" | -| 0.889 | learning_rate=0.5, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8704 | learning_rate=1, n_estimators=300, max_depth=7, max_features="log2" | -| 0.8577 | learning_rate=1, n_estimators=700, max_depth=3, max_features="log2" | -| 0.8502 | learning_rate=1, n_estimators=700, max_depth=5, max_features="log2" | -| 0.8459 | learning_rate=1, n_estimators=300, max_depth=5, max_features="log2" | -| 0.8399 | learning_rate=1, n_estimators=500, max_depth=3, max_features="log2" | -| 0.8371 | learning_rate=1, n_estimators=300, max_depth=3, max_features="log2" | -| 0.8311 | learning_rate=1, n_estimators=500, max_depth=7, max_features="log2" | -| 0.8113 | learning_rate=1, n_estimators=500, max_depth=5, max_features="log2" | - -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9847 | | - diff --git a/tuning_reports/wikidatawiki.goodfaith.md b/tuning_reports/wikidatawiki.goodfaith.md deleted file mode 100644 index 156b8d29..00000000 --- a/tuning_reports/wikidatawiki.goodfaith.md +++ /dev/null @@ -1,186 +0,0 @@ -# Model tuning report -- Revscoring version: 2.2.4 -- Features: editquality.feature_lists.wikidatawiki.goodfaith -- Date: 2018-08-03T15:30:44.916329 -- Observations: 16451 -- Labels: [true, false] -- Statistic: roc_auc.labels.true (maximize) -- Folds: 5 - -# Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------------|----------------------:|:-------------------------------------------------------------------------------| -| GradientBoosting | 0.9769 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| RandomForestClassifier | 0.9764 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| GradientBoosting | 0.9763 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| RandomForestClassifier | 0.9761 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| RandomForestClassifier | 0.9761 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | -| LogisticRegression | 0.976 | C=10, penalty="l1" | -| GradientBoosting | 0.9758 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| LogisticRegression | 0.9758 | C=10, penalty="l2" | -| RandomForestClassifier | 0.9758 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| GradientBoosting | 0.9757 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | - -# Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.976 | C=10, penalty="l1" | -| 0.9758 | C=10, penalty="l2" | -| 0.9753 | C=1, penalty="l1" | -| 0.9729 | C=1, penalty="l2" | -| 0.9694 | C=0.1, penalty="l1" | -| 0.969 | C=0.1, penalty="l2" | - -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9707 | | - -## GaussianNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.9424 | | - -## GradientBoosting -| roc_auc.labels.true | params | -|----------------------:|:-----------------------------------------------------------------------| -| 0.9769 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9763 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9758 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9757 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9757 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9752 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9746 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9746 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9746 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9745 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9745 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9745 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9743 | max_depth=7, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.974 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9736 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9735 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9734 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9733 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9727 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.9724 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9724 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9722 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9721 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.972 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9719 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9719 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=700 | -| 0.9719 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9717 | max_depth=5, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9715 | max_depth=3, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9712 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=500 | -| 0.9712 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9708 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9706 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.9704 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9703 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=300 | -| 0.9703 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=300 | -| 0.9699 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9698 | max_depth=7, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9696 | max_depth=1, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9681 | max_depth=5, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9679 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=700 | -| 0.9674 | max_depth=1, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9672 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9669 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=100 | -| 0.9667 | max_depth=1, learning_rate=0.1, max_features="log2", n_estimators=100 | -| 0.9662 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=500 | -| 0.9655 | max_depth=3, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9649 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=300 | -| 0.9608 | max_depth=1, learning_rate=0.01, max_features="log2", n_estimators=100 | -| 0.9578 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9554 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9521 | max_depth=5, learning_rate=0.5, max_features="log2", n_estimators=500 | -| 0.9465 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=100 | -| 0.9448 | max_depth=3, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9396 | max_depth=7, learning_rate=0.5, max_features="log2", n_estimators=700 | -| 0.9211 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8852 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8837 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.8585 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=300 | -| 0.852 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.8355 | max_depth=7, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.8157 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=500 | -| 0.7732 | max_depth=5, learning_rate=1, max_features="log2", n_estimators=700 | -| 0.715 | max_depth=3, learning_rate=1, max_features="log2", n_estimators=700 | - -## RandomForestClassifier -| roc_auc.labels.true | params | -|----------------------:|:--------------------------------------------------------------------------------| -| 0.9764 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9761 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9761 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9758 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9757 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9754 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9752 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9751 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.975 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.975 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9749 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1 | -| 0.9749 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9747 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9746 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9746 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9744 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1 | -| 0.9744 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9743 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9743 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9742 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9742 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9741 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.974 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.974 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.974 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.974 | n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9739 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9738 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9737 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9737 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9736 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9736 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9735 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9735 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9735 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9732 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9732 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9732 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9732 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9732 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9731 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.973 | n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.973 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.973 | n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.973 | n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9729 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9729 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9729 | n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9729 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3 | -| 0.9728 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9728 | n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9728 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9727 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9727 | n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9726 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3 | -| 0.9725 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9724 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9722 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9722 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13 | -| 0.9722 | n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9721 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9721 | n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7 | -| 0.9716 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5 | -| 0.9716 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9715 | n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.971 | n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5 | -| 0.9708 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7 | -| 0.9704 | n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9695 | n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13 | -| 0.9688 | n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13 | - diff --git a/tuning_reports/zhwiki.damaging.md b/tuning_reports/zhwiki.damaging.md index 374fbc64..c55ae687 100644 --- a/tuning_reports/zhwiki.damaging.md +++ b/tuning_reports/zhwiki.damaging.md @@ -1,439 +1,439 @@ # Model tuning report - Revscoring version: 2.9.3 - Features: editquality.feature_lists.zhwiki.damaging -- Date: 2021-02-04T15:18:18.904032 +- Date: 2021-02-11T14:24:12.259965 - Observations: 68760 - Labels: [true, false] - Statistic: roc_auc.labels.true (maximize) - Folds: 5 # Top scoring configurations -| model | roc_auc.labels.true | params | -|:-----------------|----------------------:|:-------------------------------------------------------------------------------------------| -| GaussianNB | 0.9437 | | -| GradientBoosting | 0.878 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=3 | -| GradientBoosting | 0.8776 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=5 | -| GradientBoosting | 0.8768 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=7 | -| GradientBoosting | 0.8767 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=1 | -| GradientBoosting | 0.8765 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=1 | -| GradientBoosting | 0.8761 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=3 | -| GradientBoosting | 0.876 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=5 | -| GradientBoosting | 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=7 | -| GradientBoosting | 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| model | roc_auc.labels.true | params | +|:-----------------|----------------------:|:--------------------------------------------------------------------------------------------| +| GaussianNB | 0.9437 | | +| GradientBoosting | 0.8779 | min_samples_leaf=7, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| GradientBoosting | 0.8772 | min_samples_leaf=1, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| GradientBoosting | 0.8771 | min_samples_leaf=7, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.877 | min_samples_leaf=5, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| GradientBoosting | 0.8769 | min_samples_leaf=13, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| GradientBoosting | 0.8767 | min_samples_leaf=3, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| GradientBoosting | 0.8764 | min_samples_leaf=1, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.8756 | min_samples_leaf=3, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | +| GradientBoosting | 0.8756 | min_samples_leaf=13, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | # Models -## LogisticRegression -| roc_auc.labels.true | params | -|----------------------:|:--------------------| -| 0.8207 | C=10, penalty="l2" | -| 0.8196 | C=1, penalty="l2" | -| 0.8188 | C=0.1, penalty="l2" | - ## GaussianNB | roc_auc.labels.true | params | |----------------------:|:---------| | 0.9437 | | -## BernoulliNB -| roc_auc.labels.true | params | -|----------------------:|:---------| -| 0.8109 | | +## LogisticRegression +| roc_auc.labels.true | params | +|----------------------:|:--------------------| +| 0.8209 | penalty="l2", C=1 | +| 0.8208 | penalty="l2", C=0.1 | +| 0.8168 | penalty="l2", C=10 | ## GradientBoosting | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------------------| -| 0.878 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=3 | -| 0.8776 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=5 | -| 0.8768 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=7 | -| 0.8767 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=1 | -| 0.8765 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=1 | -| 0.8761 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=3 | -| 0.876 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=5 | -| 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=7 | -| 0.8758 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=5 | -| 0.8757 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=5 | -| 0.8755 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=13 | -| 0.8755 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=13 | -| 0.8754 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=500, min_samples_leaf=7 | -| 0.8753 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=1 | -| 0.8753 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=700, min_samples_leaf=3 | -| 0.8752 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=1 | -| 0.8751 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=3 | -| 0.875 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=1 | -| 0.8748 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=1 | -| 0.8748 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=7 | -| 0.8745 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=13 | -| 0.8741 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=7 | -| 0.8741 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=3 | -| 0.874 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=500, min_samples_leaf=13 | -| 0.874 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=300, min_samples_leaf=13 | -| 0.8737 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=5 | -| 0.8736 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=7 | -| 0.8735 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=1 | -| 0.8732 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=7 | -| 0.8732 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=3 | -| 0.8732 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=300, min_samples_leaf=5 | -| 0.873 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=1 | -| 0.8726 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=7 | -| 0.8723 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=5 | -| 0.8722 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=3 | -| 0.872 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=3 | -| 0.8717 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=1 | -| 0.8717 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=13 | -| 0.8717 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=7 | -| 0.8716 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=5 | -| 0.8713 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=7 | -| 0.8712 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=5 | -| 0.8712 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=13 | -| 0.8712 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=1 | -| 0.8711 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=1 | -| 0.8711 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=13 | -| 0.871 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=1 | -| 0.8707 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=7 | -| 0.8706 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=300, min_samples_leaf=3 | -| 0.8705 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=700, min_samples_leaf=7 | -| 0.8705 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=5 | -| 0.87 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=7 | -| 0.87 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=3 | -| 0.87 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=13 | -| 0.8699 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=5 | -| 0.8698 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=3 | -| 0.8697 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=1 | -| 0.8697 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=3 | -| 0.8696 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=5 | -| 0.8695 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=3 | -| 0.8694 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=1 | -| 0.8692 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=500, min_samples_leaf=13 | -| 0.8691 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=7 | -| 0.8691 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=7 | -| 0.8689 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=5 | -| 0.8689 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=100, min_samples_leaf=5 | -| 0.8687 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=13 | -| 0.8687 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=5 | -| 0.8685 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=5 | -| 0.8684 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=500, min_samples_leaf=13 | -| 0.8683 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=5 | -| 0.8683 | max_features="log2", learning_rate=0.1, max_depth=1, n_estimators=700, min_samples_leaf=13 | -| 0.8682 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=13 | -| 0.8682 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=3 | -| 0.8678 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=3 | -| 0.8677 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=7 | -| 0.8677 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=1 | -| 0.8676 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=3 | -| 0.8674 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=700, min_samples_leaf=13 | -| 0.8673 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=13 | -| 0.8672 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=300, min_samples_leaf=1 | -| 0.8667 | max_features="log2", learning_rate=0.01, max_depth=5, n_estimators=100, min_samples_leaf=7 | -| 0.8667 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=3 | -| 0.8667 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=100, min_samples_leaf=1 | -| 0.8664 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=7 | -| 0.8662 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=1 | -| 0.8662 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=7 | -| 0.8659 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=3 | -| 0.8659 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=100, min_samples_leaf=13 | -| 0.8658 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=13 | -| 0.8657 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=100, min_samples_leaf=13 | -| 0.8657 | max_features="log2", learning_rate=0.01, max_depth=3, n_estimators=100, min_samples_leaf=5 | -| 0.8652 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=1 | -| 0.8651 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=3 | -| 0.8644 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=5 | -| 0.8644 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=7 | -| 0.8644 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=300, min_samples_leaf=13 | -| 0.8643 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=5 | -| 0.8639 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=3 | -| 0.8638 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=500, min_samples_leaf=1 | -| 0.8633 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=1 | -| 0.8628 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=3 | -| 0.8613 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=7 | -| 0.861 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=13 | -| 0.861 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=13 | -| 0.8604 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=5 | -| 0.8603 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=5 | -| 0.8602 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=5 | -| 0.8596 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=7 | -| 0.8595 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=5 | -| 0.8593 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=7 | -| 0.859 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=3 | -| 0.8589 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=13 | -| 0.8586 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=300, min_samples_leaf=7 | -| 0.8585 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=3 | -| 0.8584 | max_features="log2", learning_rate=0.01, max_depth=7, n_estimators=700, min_samples_leaf=1 | -| 0.8575 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=5 | -| 0.8573 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=3 | -| 0.8566 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=13 | -| 0.8565 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=1 | -| 0.8562 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=7 | -| 0.8559 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=3 | -| 0.8558 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=13 | -| 0.8556 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=1 | -| 0.8555 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=7 | -| 0.8554 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=500, min_samples_leaf=7 | -| 0.8548 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=100, min_samples_leaf=13 | -| 0.8546 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=5 | -| 0.8546 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=1 | -| 0.8546 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=3 | -| 0.8545 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=3 | -| 0.8545 | max_features="log2", learning_rate=0.01, max_depth=1, n_estimators=100, min_samples_leaf=5 | -| 0.8537 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=300, min_samples_leaf=1 | -| 0.8531 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=1 | -| 0.8508 | max_features="log2", learning_rate=0.5, max_depth=1, n_estimators=700, min_samples_leaf=13 | -| 0.8493 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=13 | -| 0.8487 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=7 | -| 0.847 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=1 | -| 0.8467 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=7 | -| 0.8466 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=5 | -| 0.8462 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=13 | -| 0.8458 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=1 | -| 0.8456 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=13 | -| 0.8453 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=100, min_samples_leaf=3 | -| 0.8428 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=5 | -| 0.8418 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=500, min_samples_leaf=3 | -| 0.8402 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=7 | -| 0.8382 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=5 | -| 0.8344 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=13 | -| 0.8332 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=3 | -| 0.8331 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=7 | -| 0.833 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=1 | -| 0.8327 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=5 | -| 0.8319 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=3 | -| 0.8311 | max_features="log2", learning_rate=0.1, max_depth=3, n_estimators=700, min_samples_leaf=1 | -| 0.8294 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=300, min_samples_leaf=13 | -| 0.8275 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=7 | -| 0.8273 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=5 | -| 0.8243 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=13 | -| 0.8242 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=3 | -| 0.8223 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=13 | -| 0.8196 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=500, min_samples_leaf=1 | -| 0.8141 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=7 | -| 0.8134 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=5 | -| 0.8129 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=13 | -| 0.8129 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=1 | -| 0.812 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=3 | -| 0.8116 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=5 | -| 0.8113 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=5 | -| 0.8103 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=7 | -| 0.8091 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=1 | -| 0.8089 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=13 | -| 0.8074 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=1 | -| 0.8071 | max_features="log2", learning_rate=0.1, max_depth=5, n_estimators=700, min_samples_leaf=3 | -| 0.8036 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=300, min_samples_leaf=3 | -| 0.8021 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=1 | -| 0.7983 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=1 | -| 0.7972 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=5 | -| 0.7964 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=7 | -| 0.79 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=1 | -| 0.79 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=1 | -| 0.7897 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=3 | -| 0.7837 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=5 | -| 0.7806 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=1 | -| 0.7796 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=3 | -| 0.7784 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=13 | -| 0.7756 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=100, min_samples_leaf=7 | -| 0.774 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=7 | -| 0.7715 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=500, min_samples_leaf=13 | -| 0.7683 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=300, min_samples_leaf=13 | -| 0.7682 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=13 | -| 0.7677 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=1 | -| 0.7672 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=5 | -| 0.7656 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=7 | -| 0.765 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=13 | -| 0.7635 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=3 | -| 0.7623 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=7 | -| 0.7595 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=100, min_samples_leaf=5 | -| 0.7566 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=3 | -| 0.7484 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=5 | -| 0.7483 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=7 | -| 0.7469 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=3 | -| 0.7458 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=1 | -| 0.7392 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=7 | -| 0.7349 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=13 | -| 0.7323 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=500, min_samples_leaf=1 | -| 0.7312 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=13 | -| 0.7262 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=7 | -| 0.7235 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=7 | -| 0.723 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=7 | -| 0.7221 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=5 | -| 0.7189 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=13 | -| 0.7163 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=5 | -| 0.7162 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=5 | -| 0.7126 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=7 | -| 0.7115 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=1 | -| 0.7084 | max_features="log2", learning_rate=0.1, max_depth=7, n_estimators=700, min_samples_leaf=3 | -| 0.7077 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=3 | -| 0.707 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=5 | -| 0.707 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=3 | -| 0.7062 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=13 | -| 0.7026 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=5 | -| 0.7021 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=3 | -| 0.7013 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=13 | -| 0.6987 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=1 | -| 0.6968 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=7 | -| 0.694 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=13 | -| 0.6939 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=5 | -| 0.691 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=1 | -| 0.6886 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=3 | -| 0.6879 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=1 | -| 0.6862 | max_features="log2", learning_rate=0.5, max_depth=3, n_estimators=700, min_samples_leaf=13 | -| 0.6805 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=100, min_samples_leaf=3 | -| 0.6794 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=3 | -| 0.6777 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=7 | -| 0.6775 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=1 | -| 0.6756 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=5 | -| 0.6735 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=3 | -| 0.6729 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=13 | -| 0.6694 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=1 | -| 0.668 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=7 | -| 0.6637 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=1 | -| 0.6631 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=1 | -| 0.6608 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=300, min_samples_leaf=7 | -| 0.6604 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=3 | -| 0.6596 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=13 | -| 0.6586 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=5 | -| 0.6585 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=7 | -| 0.6584 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=5 | -| 0.6512 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=7 | -| 0.649 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=700, min_samples_leaf=3 | -| 0.6467 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=13 | -| 0.6459 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=1 | -| 0.6452 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=7 | -| 0.6442 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=3 | -| 0.6439 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=13 | -| 0.6436 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=3 | -| 0.6417 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=7 | -| 0.6415 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=5 | -| 0.6393 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=1 | -| 0.6376 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=13 | -| 0.6356 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=13 | -| 0.6335 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=3 | -| 0.6334 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=13 | -| 0.6327 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=3 | -| 0.6297 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=7 | -| 0.6294 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=13 | -| 0.6284 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=3 | -| 0.6272 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=1 | -| 0.6263 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=500, min_samples_leaf=5 | -| 0.6259 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=5 | -| 0.6255 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=3 | -| 0.6241 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=1 | -| 0.6239 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=5 | -| 0.6212 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=3 | -| 0.6208 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=1 | -| 0.6196 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=100, min_samples_leaf=3 | -| 0.6195 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=1 | -| 0.6195 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=13 | -| 0.6189 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=1 | -| 0.6145 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=5 | -| 0.6104 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=1 | -| 0.6099 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=13 | -| 0.6097 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=3 | -| 0.608 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=5 | -| 0.6069 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=3 | -| 0.6061 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=13 | -| 0.6013 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=3 | -| 0.5981 | max_features="log2", learning_rate=0.5, max_depth=5, n_estimators=700, min_samples_leaf=7 | -| 0.5965 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=5 | -| 0.596 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=5 | -| 0.5878 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=500, min_samples_leaf=1 | -| 0.5878 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=3 | -| 0.5858 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=7 | -| 0.5829 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=100, min_samples_leaf=5 | -| 0.5815 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=13 | -| 0.5805 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=5 | -| 0.5803 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=5 | -| 0.5795 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=1 | -| 0.5791 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=500, min_samples_leaf=5 | -| 0.5789 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=7 | -| 0.5788 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=700, min_samples_leaf=7 | -| 0.5783 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=700, min_samples_leaf=7 | -| 0.5765 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=7 | -| 0.5761 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=3 | -| 0.5757 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=5 | -| 0.5754 | max_features="log2", learning_rate=0.5, max_depth=7, n_estimators=300, min_samples_leaf=13 | -| 0.5751 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=7 | -| 0.5731 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=100, min_samples_leaf=13 | -| 0.5728 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=700, min_samples_leaf=1 | -| 0.5708 | max_features="log2", learning_rate=1, max_depth=1, n_estimators=300, min_samples_leaf=7 | -| 0.5681 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=500, min_samples_leaf=7 | -| 0.5609 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=300, min_samples_leaf=13 | -| 0.5584 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=1 | -| 0.5574 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=700, min_samples_leaf=1 | -| 0.5485 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=100, min_samples_leaf=13 | -| 0.5483 | max_features="log2", learning_rate=1, max_depth=7, n_estimators=300, min_samples_leaf=3 | -| 0.5437 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=500, min_samples_leaf=5 | -| 0.5222 | max_features="log2", learning_rate=1, max_depth=5, n_estimators=300, min_samples_leaf=7 | -| 0.494 | max_features="log2", learning_rate=1, max_depth=3, n_estimators=500, min_samples_leaf=5 | +| 0.8779 | min_samples_leaf=7, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8772 | min_samples_leaf=1, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8771 | min_samples_leaf=7, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.877 | min_samples_leaf=5, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8769 | min_samples_leaf=13, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8767 | min_samples_leaf=3, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8764 | min_samples_leaf=1, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8756 | min_samples_leaf=3, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8756 | min_samples_leaf=13, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8755 | min_samples_leaf=13, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8748 | min_samples_leaf=3, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8748 | min_samples_leaf=7, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8748 | min_samples_leaf=5, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8746 | min_samples_leaf=5, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8746 | min_samples_leaf=7, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8742 | min_samples_leaf=1, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8742 | min_samples_leaf=7, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8741 | min_samples_leaf=5, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.874 | min_samples_leaf=5, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.874 | min_samples_leaf=1, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8737 | min_samples_leaf=7, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8737 | min_samples_leaf=1, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8731 | min_samples_leaf=1, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8731 | min_samples_leaf=3, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8731 | min_samples_leaf=3, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8731 | min_samples_leaf=7, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.873 | min_samples_leaf=1, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.873 | min_samples_leaf=3, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.873 | min_samples_leaf=13, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.873 | min_samples_leaf=5, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.873 | min_samples_leaf=5, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8728 | min_samples_leaf=13, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8728 | min_samples_leaf=13, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8726 | min_samples_leaf=3, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8726 | min_samples_leaf=7, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8725 | min_samples_leaf=3, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8723 | min_samples_leaf=13, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8723 | min_samples_leaf=7, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8722 | min_samples_leaf=7, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8722 | min_samples_leaf=5, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8722 | min_samples_leaf=7, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.872 | min_samples_leaf=7, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.872 | min_samples_leaf=13, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8719 | min_samples_leaf=5, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8719 | min_samples_leaf=1, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8719 | min_samples_leaf=3, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8718 | min_samples_leaf=13, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8717 | min_samples_leaf=1, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8717 | min_samples_leaf=1, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8715 | min_samples_leaf=5, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8715 | min_samples_leaf=1, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8711 | min_samples_leaf=1, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8709 | min_samples_leaf=3, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8709 | min_samples_leaf=13, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8707 | min_samples_leaf=5, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8705 | min_samples_leaf=13, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.1 | +| 0.8704 | min_samples_leaf=1, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8702 | min_samples_leaf=3, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8702 | min_samples_leaf=1, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8701 | min_samples_leaf=3, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8699 | min_samples_leaf=5, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8698 | min_samples_leaf=3, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8698 | min_samples_leaf=1, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8695 | min_samples_leaf=5, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8695 | min_samples_leaf=7, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8692 | min_samples_leaf=13, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8692 | min_samples_leaf=3, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8688 | min_samples_leaf=7, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8687 | min_samples_leaf=5, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8686 | min_samples_leaf=5, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8683 | min_samples_leaf=13, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8683 | min_samples_leaf=13, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8683 | min_samples_leaf=13, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8681 | min_samples_leaf=5, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8681 | min_samples_leaf=13, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.868 | min_samples_leaf=7, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.868 | min_samples_leaf=3, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.868 | min_samples_leaf=3, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8679 | min_samples_leaf=1, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.01 | +| 0.8679 | min_samples_leaf=7, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8676 | min_samples_leaf=7, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8674 | min_samples_leaf=3, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8674 | min_samples_leaf=1, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8674 | min_samples_leaf=13, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8669 | min_samples_leaf=7, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8668 | min_samples_leaf=5, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8666 | min_samples_leaf=13, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8659 | min_samples_leaf=5, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8656 | min_samples_leaf=7, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8648 | min_samples_leaf=1, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8647 | min_samples_leaf=13, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8645 | min_samples_leaf=7, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8645 | min_samples_leaf=3, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8644 | min_samples_leaf=5, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8643 | min_samples_leaf=5, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.01 | +| 0.8641 | min_samples_leaf=1, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8641 | min_samples_leaf=13, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8639 | min_samples_leaf=3, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8629 | min_samples_leaf=1, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8624 | min_samples_leaf=3, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8616 | min_samples_leaf=5, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8614 | min_samples_leaf=13, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8613 | min_samples_leaf=3, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8604 | min_samples_leaf=7, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8602 | min_samples_leaf=7, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.86 | min_samples_leaf=3, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.86 | min_samples_leaf=13, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8599 | min_samples_leaf=1, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8594 | min_samples_leaf=7, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8594 | min_samples_leaf=1, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8587 | min_samples_leaf=3, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8586 | min_samples_leaf=1, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8584 | min_samples_leaf=5, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8583 | min_samples_leaf=7, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8582 | min_samples_leaf=1, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.01 | +| 0.8579 | min_samples_leaf=7, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8577 | min_samples_leaf=5, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8572 | min_samples_leaf=3, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8564 | min_samples_leaf=3, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8563 | min_samples_leaf=1, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8559 | min_samples_leaf=5, n_estimators=300, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8558 | min_samples_leaf=5, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8558 | min_samples_leaf=5, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8557 | min_samples_leaf=1, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8553 | min_samples_leaf=1, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8552 | min_samples_leaf=13, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8545 | min_samples_leaf=13, n_estimators=100, max_depth=1, max_features="log2", learning_rate=0.01 | +| 0.8545 | min_samples_leaf=7, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8542 | min_samples_leaf=7, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8541 | min_samples_leaf=5, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8534 | min_samples_leaf=3, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8532 | min_samples_leaf=13, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8532 | min_samples_leaf=3, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8506 | min_samples_leaf=13, n_estimators=700, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8504 | min_samples_leaf=7, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8501 | min_samples_leaf=13, n_estimators=500, max_depth=1, max_features="log2", learning_rate=0.5 | +| 0.8477 | min_samples_leaf=7, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8476 | min_samples_leaf=13, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8474 | min_samples_leaf=1, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8451 | min_samples_leaf=1, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8442 | min_samples_leaf=5, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8435 | min_samples_leaf=5, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8431 | min_samples_leaf=3, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8422 | min_samples_leaf=3, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.842 | min_samples_leaf=13, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8404 | min_samples_leaf=5, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8401 | min_samples_leaf=13, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8395 | min_samples_leaf=3, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8372 | min_samples_leaf=7, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8372 | min_samples_leaf=7, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8356 | min_samples_leaf=1, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8356 | min_samples_leaf=3, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8353 | min_samples_leaf=5, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8314 | min_samples_leaf=13, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.1 | +| 0.8292 | min_samples_leaf=1, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8291 | min_samples_leaf=1, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8256 | min_samples_leaf=7, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8246 | min_samples_leaf=7, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.8221 | min_samples_leaf=13, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8193 | min_samples_leaf=5, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8186 | min_samples_leaf=13, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8182 | min_samples_leaf=5, n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | +| 0.8178 | min_samples_leaf=3, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8166 | min_samples_leaf=13, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.8165 | min_samples_leaf=7, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8162 | min_samples_leaf=7, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.814 | min_samples_leaf=5, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.8139 | min_samples_leaf=5, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.813 | min_samples_leaf=5, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8113 | min_samples_leaf=3, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.8105 | min_samples_leaf=1, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.8088 | min_samples_leaf=3, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8077 | min_samples_leaf=13, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8048 | min_samples_leaf=1, n_estimators=100, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.8045 | min_samples_leaf=1, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.1 | +| 0.8036 | min_samples_leaf=3, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.801 | min_samples_leaf=13, n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | +| 0.8003 | min_samples_leaf=1, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.793 | min_samples_leaf=13, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7927 | min_samples_leaf=5, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7925 | min_samples_leaf=1, n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7917 | min_samples_leaf=3, n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7915 | min_samples_leaf=3, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7882 | min_samples_leaf=1, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7879 | min_samples_leaf=13, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.7854 | min_samples_leaf=5, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.7833 | min_samples_leaf=1, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7816 | min_samples_leaf=7, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.7742 | min_samples_leaf=13, n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7742 | min_samples_leaf=3, n_estimators=100, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.7725 | min_samples_leaf=1, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7687 | min_samples_leaf=7, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7666 | min_samples_leaf=13, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7648 | min_samples_leaf=3, n_estimators=300, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7643 | min_samples_leaf=13, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7577 | min_samples_leaf=5, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7573 | min_samples_leaf=7, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7495 | min_samples_leaf=7, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.748 | min_samples_leaf=5, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.748 | min_samples_leaf=5, n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | +| 0.744 | min_samples_leaf=7, n_estimators=500, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7412 | min_samples_leaf=3, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7397 | min_samples_leaf=13, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.7341 | min_samples_leaf=1, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7303 | min_samples_leaf=13, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7293 | min_samples_leaf=7, n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7278 | min_samples_leaf=13, n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7219 | min_samples_leaf=5, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7211 | min_samples_leaf=3, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7203 | min_samples_leaf=13, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.7171 | min_samples_leaf=7, n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7171 | min_samples_leaf=7, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.7153 | min_samples_leaf=7, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.7146 | min_samples_leaf=13, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.7117 | min_samples_leaf=3, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.7103 | min_samples_leaf=1, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.71 | min_samples_leaf=3, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.7099 | min_samples_leaf=5, n_estimators=100, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.708 | min_samples_leaf=5, n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7078 | min_samples_leaf=7, n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | +| 0.705 | min_samples_leaf=3, n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | +| 0.7044 | min_samples_leaf=1, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.1 | +| 0.6989 | min_samples_leaf=5, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.6979 | min_samples_leaf=1, n_estimators=500, max_depth=1, max_features="log2", learning_rate=1 | +| 0.6927 | min_samples_leaf=5, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6907 | min_samples_leaf=5, n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | +| 0.69 | min_samples_leaf=7, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6859 | min_samples_leaf=7, n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | +| 0.6834 | min_samples_leaf=3, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6767 | min_samples_leaf=1, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6747 | min_samples_leaf=3, n_estimators=700, max_depth=3, max_features="log2", learning_rate=0.5 | +| 0.6743 | min_samples_leaf=13, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6659 | min_samples_leaf=5, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6635 | min_samples_leaf=13, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6622 | min_samples_leaf=3, n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6608 | min_samples_leaf=3, n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6598 | min_samples_leaf=1, n_estimators=300, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6592 | min_samples_leaf=3, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.657 | min_samples_leaf=5, n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6567 | min_samples_leaf=3, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6566 | min_samples_leaf=13, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6543 | min_samples_leaf=5, n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6541 | min_samples_leaf=5, n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6507 | min_samples_leaf=5, n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6492 | min_samples_leaf=7, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6486 | min_samples_leaf=3, n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | +| 0.6435 | min_samples_leaf=1, n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6432 | min_samples_leaf=5, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6423 | min_samples_leaf=5, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.642 | min_samples_leaf=3, n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6384 | min_samples_leaf=3, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6382 | min_samples_leaf=13, n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6367 | min_samples_leaf=1, n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6367 | min_samples_leaf=5, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6366 | min_samples_leaf=7, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6356 | min_samples_leaf=1, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.635 | min_samples_leaf=7, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6349 | min_samples_leaf=13, n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6333 | min_samples_leaf=1, n_estimators=700, max_depth=1, max_features="log2", learning_rate=1 | +| 0.6329 | min_samples_leaf=1, n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | +| 0.6303 | min_samples_leaf=13, n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6298 | min_samples_leaf=7, n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6291 | min_samples_leaf=13, n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | +| 0.629 | min_samples_leaf=3, n_estimators=100, max_depth=1, max_features="log2", learning_rate=1 | +| 0.6285 | min_samples_leaf=3, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6275 | min_samples_leaf=7, n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6253 | min_samples_leaf=1, n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6248 | min_samples_leaf=7, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6241 | min_samples_leaf=1, n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6212 | min_samples_leaf=7, n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6212 | min_samples_leaf=5, n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6204 | min_samples_leaf=1, n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6204 | min_samples_leaf=7, n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6203 | min_samples_leaf=7, n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6183 | min_samples_leaf=5, n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6181 | min_samples_leaf=5, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.618 | min_samples_leaf=13, n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6148 | min_samples_leaf=3, n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6146 | min_samples_leaf=13, n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6143 | min_samples_leaf=7, n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | +| 0.6129 | min_samples_leaf=13, n_estimators=300, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.6126 | min_samples_leaf=13, n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6123 | min_samples_leaf=1, n_estimators=700, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.612 | min_samples_leaf=1, n_estimators=700, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6104 | min_samples_leaf=3, n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | +| 0.6101 | min_samples_leaf=3, n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | +| 0.609 | min_samples_leaf=5, n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6084 | min_samples_leaf=7, n_estimators=500, max_depth=5, max_features="log2", learning_rate=0.5 | +| 0.6079 | min_samples_leaf=13, n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6061 | min_samples_leaf=1, n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | +| 0.6035 | min_samples_leaf=1, n_estimators=100, max_depth=7, max_features="log2", learning_rate=1 | +| 0.596 | min_samples_leaf=7, n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | +| 0.5956 | min_samples_leaf=13, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.5951 | min_samples_leaf=1, n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | +| 0.595 | min_samples_leaf=1, n_estimators=500, max_depth=7, max_features="log2", learning_rate=0.5 | +| 0.5935 | min_samples_leaf=5, n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | +| 0.5895 | min_samples_leaf=3, n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | +| 0.589 | min_samples_leaf=3, n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | +| 0.5889 | min_samples_leaf=1, n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | +| 0.5871 | min_samples_leaf=7, n_estimators=100, max_depth=5, max_features="log2", learning_rate=1 | +| 0.5853 | min_samples_leaf=7, n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | +| 0.5839 | min_samples_leaf=7, n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | +| 0.5829 | min_samples_leaf=5, n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | +| 0.5789 | min_samples_leaf=13, n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | +| 0.5753 | min_samples_leaf=5, n_estimators=700, max_depth=3, max_features="log2", learning_rate=1 | +| 0.5719 | min_samples_leaf=13, n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | +| 0.5686 | min_samples_leaf=3, n_estimators=700, max_depth=7, max_features="log2", learning_rate=1 | +| 0.5632 | min_samples_leaf=3, n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | +| 0.561 | min_samples_leaf=5, n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | +| 0.5607 | min_samples_leaf=13, n_estimators=300, max_depth=3, max_features="log2", learning_rate=1 | +| 0.5604 | min_samples_leaf=7, n_estimators=300, max_depth=7, max_features="log2", learning_rate=1 | +| 0.5585 | min_samples_leaf=1, n_estimators=300, max_depth=5, max_features="log2", learning_rate=1 | +| 0.556 | min_samples_leaf=13, n_estimators=300, max_depth=1, max_features="log2", learning_rate=1 | +| 0.552 | min_samples_leaf=7, n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | +| 0.5466 | min_samples_leaf=3, n_estimators=500, max_depth=5, max_features="log2", learning_rate=1 | +| 0.5459 | min_samples_leaf=13, n_estimators=500, max_depth=7, max_features="log2", learning_rate=1 | +| 0.5418 | min_samples_leaf=1, n_estimators=100, max_depth=3, max_features="log2", learning_rate=1 | +| 0.5401 | min_samples_leaf=3, n_estimators=700, max_depth=5, max_features="log2", learning_rate=1 | +| 0.5263 | min_samples_leaf=5, n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | +| 0.4715 | min_samples_leaf=1, n_estimators=500, max_depth=3, max_features="log2", learning_rate=1 | + +## BernoulliNB +| roc_auc.labels.true | params | +|----------------------:|:---------| +| 0.8109 | | ## RandomForestClassifier | roc_auc.labels.true | params | |----------------------:|:--------------------------------------------------------------------------------| -| 0.8716 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.8701 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.8686 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.8668 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.8668 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.8663 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.8662 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=640 | -| 0.8658 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.8628 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.8628 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.8618 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=320 | -| 0.8614 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=160 | -| 0.8607 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=80 | -| 0.8605 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.8603 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=640 | -| 0.8598 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=640 | -| 0.8577 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=640 | -| 0.856 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=320 | -| 0.8549 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.8547 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.854 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=320 | -| 0.8527 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.8525 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=160 | -| 0.8523 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=80 | -| 0.8513 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=320 | -| 0.8505 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.8494 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.8493 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=40 | -| 0.8482 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=160 | -| 0.8478 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.8471 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=20 | -| 0.8457 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.8449 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=40 | -| 0.8446 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.8442 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.8441 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=640 | -| 0.8437 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.8429 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.8422 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=160 | -| 0.8403 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.836 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=80 | -| 0.8343 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=40 | -| 0.8334 | criterion="entropy", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.8325 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=80 | -| 0.8286 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8283 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.8274 | criterion="gini", max_features="log2", min_samples_leaf=13, n_estimators=10 | -| 0.8258 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8212 | criterion="gini", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8205 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=20 | -| 0.8203 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.8187 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=320 | -| 0.8172 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=160 | -| 0.8117 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=20 | -| 0.8117 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=40 | -| 0.8103 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8081 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8069 | criterion="entropy", max_features="log2", min_samples_leaf=7, n_estimators=10 | -| 0.8057 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=80 | -| 0.8052 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=20 | -| 0.8027 | criterion="gini", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.7994 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.7978 | criterion="entropy", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.7976 | criterion="entropy", max_features="log2", min_samples_leaf=5, n_estimators=10 | -| 0.791 | criterion="gini", max_features="log2", min_samples_leaf=3, n_estimators=10 | -| 0.7865 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=40 | -| 0.7635 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.7483 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=20 | -| 0.7138 | criterion="entropy", max_features="log2", min_samples_leaf=1, n_estimators=10 | -| 0.7037 | criterion="gini", max_features="log2", min_samples_leaf=1, n_estimators=10 | +| 0.8714 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.8713 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.8698 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.8692 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.8691 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.8681 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.8671 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.8661 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.8655 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.8646 | min_samples_leaf=13, n_estimators=640, max_features="log2", criterion="gini" | +| 0.8623 | min_samples_leaf=13, n_estimators=160, max_features="log2", criterion="gini" | +| 0.8615 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.8611 | min_samples_leaf=13, n_estimators=320, max_features="log2", criterion="gini" | +| 0.8593 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="gini" | +| 0.8587 | min_samples_leaf=3, n_estimators=640, max_features="log2", criterion="gini" | +| 0.8586 | min_samples_leaf=7, n_estimators=640, max_features="log2", criterion="gini" | +| 0.8567 | min_samples_leaf=7, n_estimators=320, max_features="log2", criterion="gini" | +| 0.8561 | min_samples_leaf=5, n_estimators=640, max_features="log2", criterion="gini" | +| 0.8557 | min_samples_leaf=7, n_estimators=160, max_features="log2", criterion="gini" | +| 0.8557 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="gini" | +| 0.8554 | min_samples_leaf=3, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.8537 | min_samples_leaf=13, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.8536 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.8526 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.8523 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="gini" | +| 0.8523 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.8514 | min_samples_leaf=5, n_estimators=320, max_features="log2", criterion="gini" | +| 0.8512 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="entropy" | +| 0.8511 | min_samples_leaf=3, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.8509 | min_samples_leaf=7, n_estimators=80, max_features="log2", criterion="gini" | +| 0.8482 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="entropy" | +| 0.8472 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="gini" | +| 0.8467 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.8463 | min_samples_leaf=5, n_estimators=160, max_features="log2", criterion="gini" | +| 0.8456 | min_samples_leaf=13, n_estimators=40, max_features="log2", criterion="gini" | +| 0.8442 | min_samples_leaf=1, n_estimators=640, max_features="log2", criterion="gini" | +| 0.8432 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.8415 | min_samples_leaf=5, n_estimators=80, max_features="log2", criterion="gini" | +| 0.8389 | min_samples_leaf=1, n_estimators=320, max_features="log2", criterion="gini" | +| 0.8385 | min_samples_leaf=13, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.8379 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="gini" | +| 0.8374 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.8371 | min_samples_leaf=7, n_estimators=40, max_features="log2", criterion="gini" | +| 0.8327 | min_samples_leaf=3, n_estimators=80, max_features="log2", criterion="gini" | +| 0.8318 | min_samples_leaf=5, n_estimators=40, max_features="log2", criterion="gini" | +| 0.8312 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="gini" | +| 0.8304 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="gini" | +| 0.8255 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="gini" | +| 0.8251 | min_samples_leaf=7, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.8236 | min_samples_leaf=13, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.822 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="gini" | +| 0.8219 | min_samples_leaf=3, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.8214 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="gini" | +| 0.8186 | min_samples_leaf=5, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.8174 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="gini" | +| 0.8166 | min_samples_leaf=1, n_estimators=160, max_features="log2", criterion="entropy" | +| 0.8089 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="gini" | +| 0.8076 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.8002 | min_samples_leaf=3, n_estimators=20, max_features="log2", criterion="gini" | +| 0.8001 | min_samples_leaf=5, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.7982 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.7955 | min_samples_leaf=1, n_estimators=80, max_features="log2", criterion="entropy" | +| 0.793 | min_samples_leaf=7, n_estimators=10, max_features="log2", criterion="entropy" | +| 0.7914 | min_samples_leaf=3, n_estimators=10, max_features="log2", criterion="gini" | +| 0.784 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="entropy" | +| 0.7834 | min_samples_leaf=1, n_estimators=40, max_features="log2", criterion="gini" | +| 0.7504 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="gini" | +| 0.7468 | min_samples_leaf=1, n_estimators=20, max_features="log2", criterion="entropy" | +| 0.7069 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="gini" | +| 0.7028 | min_samples_leaf=1, n_estimators=10, max_features="log2", criterion="entropy" | diff --git a/tuning_reports/zhwiki.goodfaith.md b/tuning_reports/zhwiki.goodfaith.md index 1d4510f3..341752f9 100644 --- a/tuning_reports/zhwiki.goodfaith.md +++ b/tuning_reports/zhwiki.goodfaith.md @@ -1,7 +1,7 @@ # Model tuning report - Revscoring version: 2.9.3 - Features: editquality.feature_lists.zhwiki.goodfaith -- Date: 2021-02-04T17:06:10.143683 +- Date: 2021-02-11T16:14:09.565083 - Observations: 68760 - Labels: [true, false] - Statistic: roc_auc.labels.false (maximize) @@ -11,23 +11,340 @@ | model | roc_auc.labels.false | params | |:-----------------|-----------------------:|:-------------------------------------------------------------------------------------------| | GaussianNB | 0.94 | | -| GradientBoosting | 0.9073 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | -| GradientBoosting | 0.9068 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | -| GradientBoosting | 0.9067 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | -| GradientBoosting | 0.9065 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | -| GradientBoosting | 0.9063 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | -| GradientBoosting | 0.9063 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | -| GradientBoosting | 0.9056 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | -| GradientBoosting | 0.9055 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | -| GradientBoosting | 0.9052 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | +| GradientBoosting | 0.9074 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9069 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9063 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9059 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9053 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=1 | +| GradientBoosting | 0.9053 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=3 | +| GradientBoosting | 0.905 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=3 | +| GradientBoosting | 0.9049 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=3 | +| GradientBoosting | 0.9048 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=1 | # Models -## LogisticRegression -| roc_auc.labels.false | params | -|-----------------------:|:--------------------| -| 0.857 | C=0.1, penalty="l2" | -| 0.8552 | C=1, penalty="l2" | -| 0.855 | C=10, penalty="l2" | +## GradientBoosting +| roc_auc.labels.false | params | +|-----------------------:|:--------------------------------------------------------------------------------------------| +| 0.9074 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9069 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9063 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9059 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9053 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9053 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.905 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9049 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9048 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9047 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9046 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9045 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.904 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9039 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9038 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9038 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9038 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9037 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9034 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9033 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9032 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9031 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9029 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9029 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.9028 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9025 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9024 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9024 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9019 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9014 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9014 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.901 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9009 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9007 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.9005 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.9004 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9003 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.9 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8998 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8996 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8995 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8995 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.8994 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8994 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8992 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.899 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.899 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=1 | +| 0.8989 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8986 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8986 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8984 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8984 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8983 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8981 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8981 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8981 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8979 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8967 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8967 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8967 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8966 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8966 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8966 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8963 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8962 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8961 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.896 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.896 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8959 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8959 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8956 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8955 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8955 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8952 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8949 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8947 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8947 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8946 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8944 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8944 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=5 | +| 0.8941 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.894 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8939 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8938 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8937 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8936 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8932 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8932 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8928 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8925 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8923 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8923 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8922 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8922 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8922 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8921 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8919 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8917 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8917 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8916 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8916 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8909 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8905 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8903 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8902 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=3 | +| 0.8901 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8899 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8895 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8895 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8891 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8891 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8888 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8887 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8884 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8881 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8879 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8877 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8877 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8876 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8872 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.887 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8867 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=7 | +| 0.8867 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8862 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.886 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8855 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8853 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8849 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8849 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8842 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.883 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.8828 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8821 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.882 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8819 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8818 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8815 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8802 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.01, max_depth=1 | +| 0.8751 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8747 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.874 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8721 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8687 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.868 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8675 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8674 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8664 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8634 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8621 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8619 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8619 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=3 | +| 0.8602 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8601 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8452 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8412 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8359 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8328 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8323 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.829 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.829 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8267 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8211 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8203 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8133 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8128 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8117 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.8076 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8071 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.803 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.8027 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.8016 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7988 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7972 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7953 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=5 | +| 0.7866 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.784 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7763 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=1 | +| 0.7701 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7693 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7686 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7678 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7658 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7597 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7594 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7581 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7577 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7537 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=1 | +| 0.747 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7438 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7424 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7405 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=1 | +| 0.739 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7385 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.737 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.7352 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.733 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7312 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7293 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7241 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=1 | +| 0.7227 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7193 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7176 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.717 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7146 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7134 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.7121 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=3 | +| 0.7101 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7042 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.7008 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.1, max_depth=7 | +| 0.6995 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=7 | +| 0.697 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=3 | +| 0.689 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6873 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=3 | +| 0.687 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6842 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6807 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6788 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6772 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6762 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.676 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.675 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=3 | +| 0.6745 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6738 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6733 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6706 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6672 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6652 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6647 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6644 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6638 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6637 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6626 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6603 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6597 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.658 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=5 | +| 0.657 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6568 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6564 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6564 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6564 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6561 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6518 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6509 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.647 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6468 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6459 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6453 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6441 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6419 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6404 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6396 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6394 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6379 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6374 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6373 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6366 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6342 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=1 | +| 0.634 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6321 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6315 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6299 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6291 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=5 | +| 0.627 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6269 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6262 | n_estimators=500, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=3 | +| 0.626 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6257 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.625 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6246 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=3 | +| 0.623 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6224 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6223 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6214 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.6207 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6206 | n_estimators=700, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6195 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6175 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6165 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6143 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6132 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=3 | +| 0.6116 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6104 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=5 | +| 0.61 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6091 | n_estimators=300, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=5 | +| 0.6084 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=7 | +| 0.6081 | n_estimators=500, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=7 | +| 0.605 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.6039 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=1 | +| 0.6001 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.5989 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=5 | +| 0.5987 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=5 | +| 0.5977 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=1 | +| 0.5971 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5952 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=1 | +| 0.5935 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5913 | n_estimators=500, min_samples_leaf=13, max_features="log2", learning_rate=0.5, max_depth=5 | +| 0.5911 | n_estimators=700, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5904 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5898 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5896 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.5893 | n_estimators=300, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5881 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=0.5, max_depth=7 | +| 0.5873 | n_estimators=100, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=5 | +| 0.5839 | n_estimators=500, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5821 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=7 | +| 0.578 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=5 | +| 0.5755 | n_estimators=300, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5749 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5715 | n_estimators=300, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=5 | +| 0.5661 | n_estimators=300, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=1 | +| 0.5657 | n_estimators=100, min_samples_leaf=5, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5503 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=5 | +| 0.5494 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5413 | n_estimators=700, min_samples_leaf=13, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5272 | n_estimators=100, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5267 | n_estimators=500, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=7 | +| 0.5116 | n_estimators=700, min_samples_leaf=3, max_features="log2", learning_rate=1, max_depth=3 | +| 0.5003 | n_estimators=700, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=5 | +| 0.4825 | n_estimators=100, min_samples_leaf=7, max_features="log2", learning_rate=1, max_depth=1 | +| 0.4796 | n_estimators=100, min_samples_leaf=1, max_features="log2", learning_rate=1, max_depth=1 | ## BernoulliNB | roc_auc.labels.false | params | @@ -39,401 +356,84 @@ |-----------------------:|:---------| | 0.94 | | -## GradientBoosting -| roc_auc.labels.false | params | -|-----------------------:|:--------------------------------------------------------------------------------------------| -| 0.9073 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9068 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9067 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9065 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9063 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9063 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9056 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9055 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9052 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9051 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9051 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9049 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9046 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9046 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.9046 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9045 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9044 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9042 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.9041 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.904 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.9037 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9036 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.9036 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9034 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.9031 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9029 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.9026 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9018 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9015 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.9013 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.901 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.901 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.9009 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.9008 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.9007 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.9005 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.9003 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.9002 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.9002 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.9 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8999 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8998 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8996 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8995 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.8992 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8992 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8991 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8991 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8991 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.899 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8987 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8987 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8984 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8983 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8979 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8975 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8974 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8973 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8971 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.897 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.8968 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8967 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8967 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8966 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8966 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.8964 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8963 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8962 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.8962 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8953 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8951 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8948 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8948 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8948 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.8948 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8943 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8943 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.894 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.8938 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8936 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8936 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.8936 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.8935 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.8934 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8934 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8932 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.8932 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8932 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.893 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8928 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.8923 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8921 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.892 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8916 | learning_rate=0.01, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8916 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8914 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8913 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8913 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8913 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8913 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8912 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8912 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8907 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8905 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8904 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.8904 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8897 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8897 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8896 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8896 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8895 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8894 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.8892 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.8892 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8891 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.889 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.8889 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8888 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8888 | learning_rate=0.01, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.8887 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8873 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.887 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8869 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8862 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8858 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.8851 | learning_rate=0.01, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.8846 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8823 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.8823 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.8818 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8817 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8807 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8804 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.8797 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.879 | learning_rate=0.01, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.8788 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8771 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.876 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.8729 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.8722 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8704 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8704 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.8688 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8668 | learning_rate=0.1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8661 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8659 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8658 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8655 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8649 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8598 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8563 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8533 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.8385 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.8358 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8305 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8262 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.8262 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.826 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8246 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8205 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8194 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.8141 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.8141 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.8121 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.8114 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.8113 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.8075 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.8051 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.8038 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.8037 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.7922 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.7854 | learning_rate=0.1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.7813 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.7806 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.7764 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.7746 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.7741 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.7726 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.7695 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.7667 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.7578 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.7572 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.7541 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.7509 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.7498 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.7458 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.7449 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.7436 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.7419 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.7404 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.739 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.7354 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.7354 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.7349 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.7348 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.7321 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.7291 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.727 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.7262 | learning_rate=0.1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.7232 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.7225 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.722 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.7208 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.7168 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.715 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.7142 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.7138 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.7101 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.7032 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.7032 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.7024 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.7012 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.6951 | learning_rate=0.1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.6904 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.6899 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.6849 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.6815 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.6813 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.6779 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.6769 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.6765 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.6762 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.6761 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.6758 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.675 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.6734 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.6732 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.673 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.6682 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.6676 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=3 | -| 0.666 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.6648 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.6646 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.6617 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.66 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.659 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.6586 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.6575 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.6569 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.6564 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.6552 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.6531 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.6527 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.6521 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.6514 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.6509 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.6485 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.6459 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.6455 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=3 | -| 0.6454 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.6447 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.6405 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.6402 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.6395 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.6393 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.6384 | learning_rate=0.5, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.6374 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.6374 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.6349 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.6342 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.6338 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.6319 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.6299 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.6253 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.6247 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.6246 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.6235 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.6201 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.6192 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.6181 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.6172 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.6168 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.6167 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.6152 | learning_rate=0.5, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.615 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.6144 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.6121 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.6117 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.6113 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.6105 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.6104 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.6095 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.609 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.6085 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.6083 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.608 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.6077 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.607 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.6066 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=1 | -| 0.6044 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=7 | -| 0.6038 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.6022 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=3 | -| 0.6019 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=3 | -| 0.6017 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.6015 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.597 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.5969 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.5897 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.5872 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.5867 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=7 | -| 0.5834 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=7, max_depth=3 | -| 0.5822 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.582 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.5817 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.5811 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=7 | -| 0.5793 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=7 | -| 0.5785 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=1, max_depth=5 | -| 0.5767 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.575 | learning_rate=0.5, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=7 | -| 0.5681 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=1 | -| 0.561 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=1, max_depth=1 | -| 0.5551 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=5 | -| 0.5508 | learning_rate=1, n_estimators=100, max_features="log2", min_samples_leaf=7, max_depth=1 | -| 0.5499 | learning_rate=1, n_estimators=300, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.5457 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=13, max_depth=5 | -| 0.5334 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=3, max_depth=5 | -| 0.5308 | learning_rate=1, n_estimators=500, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.5208 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=1 | -| 0.5206 | learning_rate=0.5, n_estimators=700, max_features="log2", min_samples_leaf=5, max_depth=5 | -| 0.5108 | learning_rate=1, n_estimators=700, max_features="log2", min_samples_leaf=7, max_depth=3 | +## LogisticRegression +| roc_auc.labels.false | params | +|-----------------------:|:--------------------| +| 0.8562 | C=0.1, penalty="l2" | +| 0.8555 | C=1, penalty="l2" | +| 0.8523 | C=10, penalty="l2" | ## RandomForestClassifier | roc_auc.labels.false | params | |-----------------------:|:--------------------------------------------------------------------------------| -| 0.8872 | criterion="entropy", n_estimators=160, min_samples_leaf=13, max_features="log2" | -| 0.8858 | criterion="entropy", n_estimators=640, min_samples_leaf=13, max_features="log2" | -| 0.8855 | criterion="entropy", n_estimators=320, min_samples_leaf=13, max_features="log2" | -| 0.8855 | criterion="entropy", n_estimators=640, min_samples_leaf=7, max_features="log2" | -| 0.8804 | criterion="gini", n_estimators=320, min_samples_leaf=13, max_features="log2" | -| 0.8802 | criterion="entropy", n_estimators=160, min_samples_leaf=5, max_features="log2" | -| 0.8787 | criterion="gini", n_estimators=640, min_samples_leaf=13, max_features="log2" | -| 0.8786 | criterion="entropy", n_estimators=80, min_samples_leaf=13, max_features="log2" | -| 0.8786 | criterion="gini", n_estimators=640, min_samples_leaf=7, max_features="log2" | -| 0.8778 | criterion="entropy", n_estimators=320, min_samples_leaf=7, max_features="log2" | -| 0.8776 | criterion="entropy", n_estimators=640, min_samples_leaf=5, max_features="log2" | -| 0.8756 | criterion="entropy", n_estimators=320, min_samples_leaf=5, max_features="log2" | -| 0.8755 | criterion="entropy", n_estimators=160, min_samples_leaf=7, max_features="log2" | -| 0.8748 | criterion="gini", n_estimators=80, min_samples_leaf=13, max_features="log2" | -| 0.872 | criterion="gini", n_estimators=320, min_samples_leaf=7, max_features="log2" | -| 0.8715 | criterion="gini", n_estimators=640, min_samples_leaf=5, max_features="log2" | -| 0.8715 | criterion="entropy", n_estimators=80, min_samples_leaf=7, max_features="log2" | -| 0.8713 | criterion="entropy", n_estimators=640, min_samples_leaf=3, max_features="log2" | -| 0.8711 | criterion="entropy", n_estimators=80, min_samples_leaf=5, max_features="log2" | -| 0.8706 | criterion="gini", n_estimators=160, min_samples_leaf=13, max_features="log2" | -| 0.8704 | criterion="entropy", n_estimators=640, min_samples_leaf=1, max_features="log2" | -| 0.869 | criterion="gini", n_estimators=320, min_samples_leaf=3, max_features="log2" | -| 0.8686 | criterion="gini", n_estimators=640, min_samples_leaf=3, max_features="log2" | -| 0.868 | criterion="entropy", n_estimators=40, min_samples_leaf=13, max_features="log2" | -| 0.8679 | criterion="gini", n_estimators=160, min_samples_leaf=7, max_features="log2" | -| 0.8678 | criterion="gini", n_estimators=320, min_samples_leaf=5, max_features="log2" | -| 0.8663 | criterion="entropy", n_estimators=320, min_samples_leaf=3, max_features="log2" | -| 0.8655 | criterion="gini", n_estimators=40, min_samples_leaf=13, max_features="log2" | -| 0.8651 | criterion="entropy", n_estimators=160, min_samples_leaf=3, max_features="log2" | -| 0.863 | criterion="gini", n_estimators=160, min_samples_leaf=5, max_features="log2" | -| 0.8611 | criterion="gini", n_estimators=80, min_samples_leaf=7, max_features="log2" | -| 0.8604 | criterion="entropy", n_estimators=40, min_samples_leaf=7, max_features="log2" | -| 0.8593 | criterion="entropy", n_estimators=80, min_samples_leaf=3, max_features="log2" | -| 0.8574 | criterion="entropy", n_estimators=40, min_samples_leaf=5, max_features="log2" | -| 0.8569 | criterion="gini", n_estimators=80, min_samples_leaf=3, max_features="log2" | -| 0.856 | criterion="entropy", n_estimators=20, min_samples_leaf=7, max_features="log2" | -| 0.8551 | criterion="entropy", n_estimators=20, min_samples_leaf=13, max_features="log2" | -| 0.8542 | criterion="gini", n_estimators=640, min_samples_leaf=1, max_features="log2" | -| 0.8535 | criterion="gini", n_estimators=20, min_samples_leaf=13, max_features="log2" | -| 0.8534 | criterion="gini", n_estimators=40, min_samples_leaf=7, max_features="log2" | -| 0.8527 | criterion="gini", n_estimators=80, min_samples_leaf=5, max_features="log2" | -| 0.8504 | criterion="gini", n_estimators=160, min_samples_leaf=3, max_features="log2" | -| 0.8436 | criterion="gini", n_estimators=320, min_samples_leaf=1, max_features="log2" | -| 0.8429 | criterion="entropy", n_estimators=40, min_samples_leaf=3, max_features="log2" | -| 0.8416 | criterion="gini", n_estimators=10, min_samples_leaf=13, max_features="log2" | -| 0.8411 | criterion="gini", n_estimators=20, min_samples_leaf=5, max_features="log2" | -| 0.8404 | criterion="entropy", n_estimators=160, min_samples_leaf=1, max_features="log2" | -| 0.8377 | criterion="gini", n_estimators=40, min_samples_leaf=5, max_features="log2" | -| 0.8377 | criterion="entropy", n_estimators=10, min_samples_leaf=13, max_features="log2" | -| 0.8363 | criterion="gini", n_estimators=20, min_samples_leaf=7, max_features="log2" | -| 0.8324 | criterion="entropy", n_estimators=320, min_samples_leaf=1, max_features="log2" | -| 0.8312 | criterion="entropy", n_estimators=20, min_samples_leaf=3, max_features="log2" | -| 0.8298 | criterion="gini", n_estimators=40, min_samples_leaf=3, max_features="log2" | -| 0.8284 | criterion="entropy", n_estimators=20, min_samples_leaf=5, max_features="log2" | -| 0.8277 | criterion="gini", n_estimators=10, min_samples_leaf=7, max_features="log2" | -| 0.8265 | criterion="gini", n_estimators=160, min_samples_leaf=1, max_features="log2" | -| 0.8225 | criterion="gini", n_estimators=20, min_samples_leaf=3, max_features="log2" | -| 0.8216 | criterion="gini", n_estimators=10, min_samples_leaf=3, max_features="log2" | -| 0.8177 | criterion="entropy", n_estimators=10, min_samples_leaf=7, max_features="log2" | -| 0.8128 | criterion="gini", n_estimators=80, min_samples_leaf=1, max_features="log2" | -| 0.8117 | criterion="gini", n_estimators=10, min_samples_leaf=5, max_features="log2" | -| 0.8088 | criterion="entropy", n_estimators=80, min_samples_leaf=1, max_features="log2" | -| 0.8076 | criterion="entropy", n_estimators=40, min_samples_leaf=1, max_features="log2" | -| 0.806 | criterion="entropy", n_estimators=10, min_samples_leaf=5, max_features="log2" | -| 0.7992 | criterion="entropy", n_estimators=10, min_samples_leaf=3, max_features="log2" | -| 0.7815 | criterion="gini", n_estimators=40, min_samples_leaf=1, max_features="log2" | -| 0.7709 | criterion="gini", n_estimators=20, min_samples_leaf=1, max_features="log2" | -| 0.7466 | criterion="entropy", n_estimators=20, min_samples_leaf=1, max_features="log2" | -| 0.7189 | criterion="gini", n_estimators=10, min_samples_leaf=1, max_features="log2" | -| 0.7027 | criterion="entropy", n_estimators=10, min_samples_leaf=1, max_features="log2" | +| 0.8898 | n_estimators=160, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.8872 | n_estimators=640, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.8869 | n_estimators=320, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.8814 | n_estimators=640, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8807 | n_estimators=640, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.8788 | n_estimators=320, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8788 | n_estimators=160, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8784 | n_estimators=80, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.8781 | n_estimators=640, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8774 | n_estimators=640, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8771 | n_estimators=640, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8768 | n_estimators=40, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8767 | n_estimators=320, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.8761 | n_estimators=320, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8755 | n_estimators=160, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8752 | n_estimators=640, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.8751 | n_estimators=40, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.8745 | n_estimators=640, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8735 | n_estimators=80, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8726 | n_estimators=640, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.8704 | n_estimators=320, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.868 | n_estimators=320, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8676 | n_estimators=80, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.8667 | n_estimators=80, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8661 | n_estimators=160, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.8654 | n_estimators=160, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.8638 | n_estimators=20, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.8638 | n_estimators=160, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8638 | n_estimators=320, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8621 | n_estimators=80, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8605 | n_estimators=160, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8597 | n_estimators=40, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.8586 | n_estimators=160, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8579 | n_estimators=320, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8551 | n_estimators=40, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8549 | n_estimators=80, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.8544 | n_estimators=320, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.8533 | n_estimators=40, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.8524 | n_estimators=640, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.8508 | n_estimators=80, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8474 | n_estimators=10, criterion="entropy", min_samples_leaf=13, max_features="log2" | +| 0.8458 | n_estimators=20, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8456 | n_estimators=40, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8443 | n_estimators=80, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8435 | n_estimators=20, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.842 | n_estimators=20, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.8391 | n_estimators=40, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8379 | n_estimators=160, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.8376 | n_estimators=320, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.8363 | n_estimators=20, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8359 | n_estimators=40, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8355 | n_estimators=20, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8348 | n_estimators=160, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.834 | n_estimators=20, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8311 | n_estimators=10, criterion="gini", min_samples_leaf=13, max_features="log2" | +| 0.8292 | n_estimators=20, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8266 | n_estimators=10, criterion="gini", min_samples_leaf=7, max_features="log2" | +| 0.8235 | n_estimators=10, criterion="entropy", min_samples_leaf=7, max_features="log2" | +| 0.8232 | n_estimators=10, criterion="entropy", min_samples_leaf=5, max_features="log2" | +| 0.82 | n_estimators=80, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.8145 | n_estimators=10, criterion="gini", min_samples_leaf=5, max_features="log2" | +| 0.8082 | n_estimators=80, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.808 | n_estimators=10, criterion="entropy", min_samples_leaf=3, max_features="log2" | +| 0.8032 | n_estimators=10, criterion="gini", min_samples_leaf=3, max_features="log2" | +| 0.8001 | n_estimators=40, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.7956 | n_estimators=40, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.7639 | n_estimators=20, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.7483 | n_estimators=20, criterion="entropy", min_samples_leaf=1, max_features="log2" | +| 0.7039 | n_estimators=10, criterion="gini", min_samples_leaf=1, max_features="log2" | +| 0.6802 | n_estimators=10, criterion="entropy", min_samples_leaf=1, max_features="log2" |