PR-AUC reports

enwiki.md

Model tuning report

• Revscoring version: 1.2.6
• Features: editquality.feature_lists.enwiki.damaging
• Date: 2016-05-22T10:53:50.651577
• Observations: 19739
• Labels: [false, true]
• Scoring: average_precision
• Folds: 5

Top scoring configurations

model	mean(scores)	std(scores)	params
GradientBoostingClassifier	0.465	0.019	n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01
GradientBoostingClassifier	0.463	0.024	n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01
GradientBoostingClassifier	0.461	0.024	n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01
RandomForestClassifier	0.458	0.02	n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5
GradientBoostingClassifier	0.457	0.019	n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01
GradientBoostingClassifier	0.455	0.026	n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01
RandomForestClassifier	0.454	0.021	n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7
RandomForestClassifier	0.453	0.022	n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5
RandomForestClassifier	0.453	0.019	n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7
RandomForestClassifier	0.452	0.017	n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3

Models

GradientBoostingClassifier

mean(scores)	std(scores)	params
0.465	0.019	n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.01
0.463	0.024	n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.01
0.461	0.024	n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.01
0.457	0.019	n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.01
0.455	0.026	n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.01
0.452	0.02	n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.1
0.449	0.035	n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.1
0.445	0.036	n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.1
0.441	0.021	n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.1
0.44	0.023	n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.01
0.437	0.021	n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.01
0.437	0.023	n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.1
0.436	0.025	n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.5
0.436	0.022	n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.1
0.436	0.026	n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.1
0.433	0.022	n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.01
0.433	0.021	n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.1
0.433	0.023	n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.1
0.432	0.023	n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.5
0.431	0.019	n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.1
0.43	0.028	n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.1
0.43	0.022	n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.5
0.43	0.024	n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.1
0.427	0.023	n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.01
0.426	0.013	n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.1
0.418	0.015	n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.1
0.417	0.023	n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.01
0.417	0.025	n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.1
0.415	0.014	n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.5
0.407	0.02	n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.01
0.385	0.01	n_estimators=100, max_features="log2", max_depth=1, learning_rate=1
0.378	0.018	n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.01
0.37	0.036	n_estimators=500, max_features="log2", max_depth=1, learning_rate=1
0.361	0.045	n_estimators=300, max_features="log2", max_depth=1, learning_rate=1
0.353	0.012	n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.1
0.35	0.055	n_estimators=700, max_features="log2", max_depth=1, learning_rate=1
0.336	0.043	n_estimators=700, max_features="log2", max_depth=3, learning_rate=0.5
0.334	0.009	n_estimators=700, max_features="log2", max_depth=1, learning_rate=0.01
0.33	0.02	n_estimators=500, max_features="log2", max_depth=7, learning_rate=0.5
0.327	0.024	n_estimators=300, max_features="log2", max_depth=7, learning_rate=0.5
0.316	0.015	n_estimators=100, max_features="log2", max_depth=3, learning_rate=0.5
0.313	0.026	n_estimators=300, max_features="log2", max_depth=3, learning_rate=0.5
0.312	0.022	n_estimators=500, max_features="log2", max_depth=3, learning_rate=0.5
0.311	0.007	n_estimators=500, max_features="log2", max_depth=1, learning_rate=0.01
0.31	0.03	n_estimators=700, max_features="log2", max_depth=7, learning_rate=0.5
0.301	0.067	n_estimators=300, max_features="log2", max_depth=5, learning_rate=0.5
0.289	0.014	n_estimators=100, max_features="log2", max_depth=7, learning_rate=0.5
0.288	0.078	n_estimators=500, max_features="log2", max_depth=5, learning_rate=0.5
0.287	0.027	n_estimators=100, max_features="log2", max_depth=5, learning_rate=0.5
0.27	0.013	n_estimators=300, max_features="log2", max_depth=1, learning_rate=0.01
0.257	0.047	n_estimators=100, max_features="log2", max_depth=3, learning_rate=1
0.254	0.123	n_estimators=700, max_features="log2", max_depth=5, learning_rate=0.5
0.247	0.019	n_estimators=100, max_features="log2", max_depth=1, learning_rate=0.01
0.229	0.032	n_estimators=300, max_features="log2", max_depth=3, learning_rate=1
0.21	0.032	n_estimators=100, max_features="log2", max_depth=5, learning_rate=1
0.185	0.087	n_estimators=500, max_features="log2", max_depth=3, learning_rate=1
0.159	0.07	n_estimators=500, max_features="log2", max_depth=5, learning_rate=1
0.138	0.058	n_estimators=700, max_features="log2", max_depth=3, learning_rate=1
0.119	0.043	n_estimators=300, max_features="log2", max_depth=5, learning_rate=1
0.088	0.022	n_estimators=100, max_features="log2", max_depth=7, learning_rate=1
0.068	0.024	n_estimators=300, max_features="log2", max_depth=7, learning_rate=1
0.068	0.023	n_estimators=700, max_features="log2", max_depth=5, learning_rate=1
0.061	0.02	n_estimators=700, max_features="log2", max_depth=7, learning_rate=1
0.054	0.01	n_estimators=500, max_features="log2", max_depth=7, learning_rate=1

RandomForestClassifier

mean(scores)	std(scores)	params
0.458	0.02	n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=5
0.454	0.021	n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=7
0.453	0.022	n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=5
0.453	0.019	n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=7
0.452	0.017	n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=3
0.452	0.018	n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=5
0.452	0.017	n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=3
0.451	0.024	n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=13
0.45	0.023	n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=13
0.45	0.019	n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=3
0.449	0.023	n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=13
0.449	0.017	n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=7
0.448	0.016	n_estimators=640, max_features="log2", criterion="entropy", min_samples_leaf=1
0.448	0.018	n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=7
0.448	0.018	n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=7
0.447	0.02	n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=5
0.447	0.021	n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=5
0.447	0.016	n_estimators=320, max_features="log2", criterion="entropy", min_samples_leaf=1
0.447	0.017	n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=5
0.447	0.016	n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=5
0.446	0.02	n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=7
0.446	0.019	n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=5
0.446	0.022	n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=13
0.445	0.019	n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=13
0.445	0.021	n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=13
0.444	0.017	n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=3
0.444	0.016	n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=3
0.443	0.019	n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=3
0.442	0.017	n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=7
0.442	0.019	n_estimators=160, max_features="log2", criterion="entropy", min_samples_leaf=1
0.442	0.016	n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=3
0.442	0.017	n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=13
0.442	0.017	n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=5
0.441	0.018	n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=3
0.441	0.017	n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=1
0.44	0.015	n_estimators=640, max_features="log2", criterion="gini", min_samples_leaf=1
0.44	0.016	n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=7
0.439	0.021	n_estimators=80, max_features="log2", criterion="entropy", min_samples_leaf=7
0.439	0.021	n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=13
0.438	0.02	n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=5
0.436	0.019	n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=13
0.436	0.014	n_estimators=320, max_features="log2", criterion="gini", min_samples_leaf=1
0.435	0.021	n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=7
0.434	0.03	n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=13
0.434	0.018	n_estimators=160, max_features="log2", criterion="gini", min_samples_leaf=1
0.433	0.023	n_estimators=80, max_features="log2", criterion="gini", min_samples_leaf=1
0.431	0.022	n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=3
0.429	0.014	n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=13
0.429	0.017	n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=3
0.421	0.021	n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=5
0.42	0.017	n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=5
0.419	0.021	n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=7
0.418	0.019	n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=13
0.416	0.019	n_estimators=40, max_features="log2", criterion="entropy", min_samples_leaf=1
0.415	0.017	n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=7
0.413	0.012	n_estimators=40, max_features="log2", criterion="gini", min_samples_leaf=1
0.41	0.021	n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=3
0.406	0.027	n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=3
0.405	0.021	n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=13
0.403	0.023	n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=5
0.402	0.036	n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=13
0.4	0.022	n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=7
0.4	0.022	n_estimators=20, max_features="log2", criterion="entropy", min_samples_leaf=1
0.396	0.028	n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=5
0.393	0.02	n_estimators=20, max_features="log2", criterion="gini", min_samples_leaf=1
0.392	0.028	n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=7
0.381	0.028	n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=3
0.375	0.003	n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=3
0.37	0.019	n_estimators=10, max_features="log2", criterion="gini", min_samples_leaf=1
0.365	0.019	n_estimators=10, max_features="log2", criterion="entropy", min_samples_leaf=1

GaussianNB

mean(scores)	std(scores)	params
0.294	0.159

BernoulliNB

mean(scores)	std(scores)	params
0.167	0.01

LogisticRegression

mean(scores)	std(scores)	params
0.289	0.015	penalty="l1", C=10
0.285	0.017	penalty="l1", C=1
0.285	0.024	penalty="l1", C=0.1
0.192	0.022	penalty="l2", C=0.1
0.183	0.017	penalty="l2", C=1
0.18	0.019	penalty="l2", C=10

wikidata.md

Model tuning report

• Revscoring version: 1.2.5
• Features: editquality.feature_lists.wikidatawiki.damaging
• Date: 2016-05-21T11:16:04.333820
• Observations: 24530
• Labels: [false, true]
• Scoring: average_precision
• Folds: 5

Top scoring configurations

model	mean(scores)	std(scores)	params
GradientBoostingClassifier	0.901	0.002	learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2"
GradientBoostingClassifier	0.9	0.002	learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2"
GradientBoostingClassifier	0.898	0.003	learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2"
GradientBoostingClassifier	0.897	0.004	learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2"
GradientBoostingClassifier	0.896	0.004	learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2"
GradientBoostingClassifier	0.896	0.01	learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2"
GradientBoostingClassifier	0.896	0.005	learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2"
GradientBoostingClassifier	0.895	0.006	learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2"
GradientBoostingClassifier	0.895	0.008	learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2"
RandomForestClassifier	0.895	0.005	min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2"

Models

GradientBoostingClassifier

mean(scores)	std(scores)	params
0.901	0.002	learning_rate=0.01, max_depth=7, n_estimators=500, max_features="log2"
0.9	0.002	learning_rate=0.01, max_depth=7, n_estimators=700, max_features="log2"
0.898	0.003	learning_rate=0.01, max_depth=5, n_estimators=700, max_features="log2"
0.897	0.004	learning_rate=0.01, max_depth=7, n_estimators=300, max_features="log2"
0.896	0.004	learning_rate=0.01, max_depth=5, n_estimators=500, max_features="log2"
0.896	0.01	learning_rate=0.1, max_depth=3, n_estimators=700, max_features="log2"
0.896	0.005	learning_rate=0.1, max_depth=5, n_estimators=100, max_features="log2"
0.895	0.006	learning_rate=0.1, max_depth=3, n_estimators=300, max_features="log2"
0.895	0.008	learning_rate=0.1, max_depth=3, n_estimators=500, max_features="log2"
0.893	0.007	learning_rate=0.01, max_depth=5, n_estimators=300, max_features="log2"
0.892	0.011	learning_rate=0.1, max_depth=5, n_estimators=500, max_features="log2"
0.892	0.004	learning_rate=0.01, max_depth=7, n_estimators=100, max_features="log2"
0.891	0.005	learning_rate=0.1, max_depth=3, n_estimators=100, max_features="log2"
0.891	0.009	learning_rate=0.1, max_depth=5, n_estimators=300, max_features="log2"
0.891	0.005	learning_rate=0.01, max_depth=3, n_estimators=700, max_features="log2"
0.89	0.005	learning_rate=0.1, max_depth=7, n_estimators=100, max_features="log2"
0.89	0.007	learning_rate=0.1, max_depth=7, n_estimators=300, max_features="log2"
0.889	0.006	learning_rate=0.01, max_depth=3, n_estimators=500, max_features="log2"
0.888	0.007	learning_rate=0.01, max_depth=5, n_estimators=100, max_features="log2"
0.885	0.01	learning_rate=0.1, max_depth=7, n_estimators=500, max_features="log2"
0.885	0.007	learning_rate=0.1, max_depth=1, n_estimators=500, max_features="log2"
0.885	0.008	learning_rate=0.1, max_depth=1, n_estimators=700, max_features="log2"
0.884	0.008	learning_rate=0.1, max_depth=1, n_estimators=300, max_features="log2"
0.884	0.01	learning_rate=0.1, max_depth=7, n_estimators=700, max_features="log2"
0.884	0.008	learning_rate=0.1, max_depth=5, n_estimators=700, max_features="log2"
0.882	0.008	learning_rate=0.01, max_depth=3, n_estimators=300, max_features="log2"
0.881	0.007	learning_rate=0.5, max_depth=1, n_estimators=700, max_features="log2"
0.877	0.003	learning_rate=0.5, max_depth=3, n_estimators=100, max_features="log2"
0.877	0.011	learning_rate=0.5, max_depth=3, n_estimators=500, max_features="log2"
0.876	0.01	learning_rate=0.1, max_depth=1, n_estimators=100, max_features="log2"
0.875	0.015	learning_rate=0.5, max_depth=5, n_estimators=500, max_features="log2"
0.875	0.012	learning_rate=0.5, max_depth=1, n_estimators=100, max_features="log2"
0.873	0.018	learning_rate=0.5, max_depth=1, n_estimators=500, max_features="log2"
0.869	0.011	learning_rate=0.01, max_depth=3, n_estimators=100, max_features="log2"
0.869	0.011	learning_rate=0.01, max_depth=1, n_estimators=700, max_features="log2"
0.867	0.016	learning_rate=0.5, max_depth=3, n_estimators=300, max_features="log2"
0.865	0.019	learning_rate=0.5, max_depth=7, n_estimators=300, max_features="log2"
0.865	0.018	learning_rate=0.5, max_depth=1, n_estimators=300, max_features="log2"
0.865	0.011	learning_rate=0.5, max_depth=5, n_estimators=300, max_features="log2"
0.863	0.01	learning_rate=0.01, max_depth=1, n_estimators=500, max_features="log2"
0.859	0.023	learning_rate=1, max_depth=1, n_estimators=100, max_features="log2"
0.856	0.049	learning_rate=0.5, max_depth=3, n_estimators=700, max_features="log2"
0.854	0.012	learning_rate=0.01, max_depth=1, n_estimators=300, max_features="log2"
0.841	0.015	learning_rate=0.01, max_depth=1, n_estimators=100, max_features="log2"
0.838	0.01	learning_rate=0.5, max_depth=7, n_estimators=100, max_features="log2"
0.83	0.044	learning_rate=1, max_depth=1, n_estimators=700, max_features="log2"
0.829	0.023	learning_rate=0.5, max_depth=5, n_estimators=100, max_features="log2"
0.828	0.067	learning_rate=1, max_depth=1, n_estimators=300, max_features="log2"
0.82	0.053	learning_rate=1, max_depth=1, n_estimators=500, max_features="log2"
0.78	0.113	learning_rate=0.5, max_depth=5, n_estimators=700, max_features="log2"
0.706	0.267	learning_rate=0.5, max_depth=7, n_estimators=500, max_features="log2"
0.678	0.142	learning_rate=1, max_depth=3, n_estimators=100, max_features="log2"
0.613	0.177	learning_rate=1, max_depth=5, n_estimators=100, max_features="log2"
0.567	0.204	learning_rate=1, max_depth=3, n_estimators=300, max_features="log2"
0.53	0.265	learning_rate=1, max_depth=3, n_estimators=700, max_features="log2"
0.479	0.19	learning_rate=1, max_depth=7, n_estimators=100, max_features="log2"
0.468	0.146	learning_rate=1, max_depth=5, n_estimators=500, max_features="log2"
0.448	0.236	learning_rate=0.5, max_depth=7, n_estimators=700, max_features="log2"
0.445	0.082	learning_rate=1, max_depth=7, n_estimators=500, max_features="log2"
0.404	0.266	learning_rate=1, max_depth=5, n_estimators=300, max_features="log2"
0.384	0.118	learning_rate=1, max_depth=7, n_estimators=700, max_features="log2"
0.362	0.141	learning_rate=1, max_depth=5, n_estimators=700, max_features="log2"
0.35	0.149	learning_rate=1, max_depth=7, n_estimators=300, max_features="log2"
0.332	0.158	learning_rate=1, max_depth=3, n_estimators=500, max_features="log2"

RandomForestClassifier

mean(scores)	std(scores)	params
0.895	0.005	min_samples_leaf=13, n_estimators=40, criterion="gini", max_features="log2"
0.894	0.006	min_samples_leaf=5, n_estimators=40, criterion="entropy", max_features="log2"
0.894	0.004	min_samples_leaf=5, n_estimators=640, criterion="entropy", max_features="log2"
0.893	0.008	min_samples_leaf=3, n_estimators=640, criterion="entropy", max_features="log2"
0.893	0.006	min_samples_leaf=3, n_estimators=160, criterion="entropy", max_features="log2"
0.893	0.006	min_samples_leaf=3, n_estimators=640, criterion="gini", max_features="log2"
0.893	0.005	min_samples_leaf=5, n_estimators=320, criterion="gini", max_features="log2"
0.893	0.005	min_samples_leaf=7, n_estimators=640, criterion="entropy", max_features="log2"
0.893	0.005	min_samples_leaf=7, n_estimators=20, criterion="gini", max_features="log2"
0.893	0.005	min_samples_leaf=3, n_estimators=80, criterion="entropy", max_features="log2"
0.893	0.006	min_samples_leaf=5, n_estimators=320, criterion="entropy", max_features="log2"
0.893	0.006	min_samples_leaf=7, n_estimators=320, criterion="entropy", max_features="log2"
0.893	0.005	min_samples_leaf=5, n_estimators=640, criterion="gini", max_features="log2"
0.893	0.005	min_samples_leaf=13, n_estimators=640, criterion="gini", max_features="log2"
0.892	0.005	min_samples_leaf=5, n_estimators=160, criterion="entropy", max_features="log2"
0.892	0.006	min_samples_leaf=3, n_estimators=320, criterion="entropy", max_features="log2"
0.892	0.005	min_samples_leaf=3, n_estimators=160, criterion="gini", max_features="log2"
0.892	0.005	min_samples_leaf=13, n_estimators=640, criterion="entropy", max_features="log2"
0.892	0.004	min_samples_leaf=7, n_estimators=640, criterion="gini", max_features="log2"
0.892	0.004	min_samples_leaf=5, n_estimators=80, criterion="entropy", max_features="log2"
0.892	0.005	min_samples_leaf=1, n_estimators=10, criterion="entropy", max_features="log2"
0.892	0.005	min_samples_leaf=13, n_estimators=20, criterion="entropy", max_features="log2"
0.892	0.004	min_samples_leaf=3, n_estimators=320, criterion="gini", max_features="log2"
0.892	0.004	min_samples_leaf=7, n_estimators=80, criterion="entropy", max_features="log2"
0.891	0.003	min_samples_leaf=7, n_estimators=320, criterion="gini", max_features="log2"
0.891	0.005	min_samples_leaf=5, n_estimators=160, criterion="gini", max_features="log2"
0.891	0.008	min_samples_leaf=3, n_estimators=20, criterion="gini", max_features="log2"
0.891	0.006	min_samples_leaf=7, n_estimators=160, criterion="entropy", max_features="log2"
0.891	0.007	min_samples_leaf=5, n_estimators=40, criterion="gini", max_features="log2"
0.891	0.003	min_samples_leaf=7, n_estimators=160, criterion="gini", max_features="log2"
0.891	0.005	min_samples_leaf=13, n_estimators=80, criterion="entropy", max_features="log2"
0.891	0.004	min_samples_leaf=13, n_estimators=320, criterion="gini", max_features="log2"
0.891	0.005	min_samples_leaf=3, n_estimators=10, criterion="entropy", max_features="log2"
0.89	0.003	min_samples_leaf=13, n_estimators=80, criterion="gini", max_features="log2"
0.89	0.004	min_samples_leaf=7, n_estimators=80, criterion="gini", max_features="log2"
0.89	0.005	min_samples_leaf=13, n_estimators=160, criterion="entropy", max_features="log2"
0.89	0.004	min_samples_leaf=3, n_estimators=40, criterion="gini", max_features="log2"
0.89	0.008	min_samples_leaf=3, n_estimators=80, criterion="gini", max_features="log2"
0.889	0.004	min_samples_leaf=13, n_estimators=160, criterion="gini", max_features="log2"
0.889	0.005	min_samples_leaf=5, n_estimators=20, criterion="gini", max_features="log2"
0.889	0.005	min_samples_leaf=13, n_estimators=320, criterion="entropy", max_features="log2"
0.889	0.005	min_samples_leaf=3, n_estimators=40, criterion="entropy", max_features="log2"
0.889	0.007	min_samples_leaf=7, n_estimators=40, criterion="entropy", max_features="log2"
0.889	0.008	min_samples_leaf=5, n_estimators=80, criterion="gini", max_features="log2"
0.888	0.008	min_samples_leaf=1, n_estimators=40, criterion="gini", max_features="log2"
0.888	0.006	min_samples_leaf=7, n_estimators=40, criterion="gini", max_features="log2"
0.888	0.011	min_samples_leaf=1, n_estimators=160, criterion="entropy", max_features="log2"
0.888	0.01	min_samples_leaf=3, n_estimators=20, criterion="entropy", max_features="log2"
0.888	0.002	min_samples_leaf=5, n_estimators=20, criterion="entropy", max_features="log2"
0.887	0.011	min_samples_leaf=1, n_estimators=320, criterion="entropy", max_features="log2"
0.887	0.009	min_samples_leaf=1, n_estimators=160, criterion="gini", max_features="log2"
0.887	0.013	min_samples_leaf=1, n_estimators=320, criterion="gini", max_features="log2"
0.887	0.006	min_samples_leaf=7, n_estimators=20, criterion="entropy", max_features="log2"
0.886	0.012	min_samples_leaf=1, n_estimators=640, criterion="entropy", max_features="log2"
0.886	0.012	min_samples_leaf=1, n_estimators=640, criterion="gini", max_features="log2"
0.886	0.009	min_samples_leaf=3, n_estimators=10, criterion="gini", max_features="log2"
0.886	0.005	min_samples_leaf=13, n_estimators=20, criterion="gini", max_features="log2"
0.886	0.011	min_samples_leaf=7, n_estimators=10, criterion="entropy", max_features="log2"
0.886	0.009	min_samples_leaf=1, n_estimators=40, criterion="entropy", max_features="log2"
0.885	0.014	min_samples_leaf=1, n_estimators=20, criterion="entropy", max_features="log2"
0.885	0.007	min_samples_leaf=13, n_estimators=10, criterion="entropy", max_features="log2"
0.884	0.009	min_samples_leaf=1, n_estimators=10, criterion="gini", max_features="log2"
0.884	0.009	min_samples_leaf=1, n_estimators=80, criterion="gini", max_features="log2"
0.884	0.003	min_samples_leaf=13, n_estimators=40, criterion="entropy", max_features="log2"
0.883	0.014	min_samples_leaf=5, n_estimators=10, criterion="entropy", max_features="log2"
0.883	0.009	min_samples_leaf=1, n_estimators=80, criterion="entropy", max_features="log2"
0.88	0.007	min_samples_leaf=7, n_estimators=10, criterion="gini", max_features="log2"
0.88	0.006	min_samples_leaf=5, n_estimators=10, criterion="gini", max_features="log2"
0.879	0.008	min_samples_leaf=13, n_estimators=10, criterion="gini", max_features="log2"
0.877	0.008	min_samples_leaf=1, n_estimators=20, criterion="gini", max_features="log2"

LogisticRegression

mean(scores)	std(scores)	params
0.891	0.007	penalty="l1", C=1
0.89	0.009	penalty="l2", C=10
0.889	0.008	penalty="l2", C=1
0.888	0.008	penalty="l1", C=10
0.885	0.007	penalty="l2", C=0.1
0.878	0.007	penalty="l1", C=0.1

BernoulliNB

mean(scores)	std(scores)	params
0.87	0.008

GaussianNB

mean(scores)	std(scores)	params
0.799	0.009