5950749 1 Jan van Rijn 14 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 3985494 class_weight null 6941 criterion "gini" 6941 max_depth 6 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 29405 6941 splitter "best" 6941 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 algorithm "SAMME.R" 6971 learning_rate 0.08865495163345932 6971 n_estimators 104 6971 random_state 36807 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 12824974 description https://api.openml.org/data/download/12824974/description.xml -1 12824975 predictions https://api.openml.org/data/download/12824975/predictions.arff area_under_roc_curve 0.9745688888888888 [1,0.965447,0.991581,0.98985,0.962281,0.991692,0.932032,0.989169,0.997908,0.925729] average_cost 0 f_measure 0.8079420253408917 [0.997494,0.73523,0.920635,0.884817,0.771208,0.892857,0.528796,0.840206,0.953368,0.55481] kappa 0.7816666666666666 kb_relative_information_score 1618.8851727395686 mean_absolute_error 0.04554056874413751 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8178143078364403 [1,0.653696,0.977528,0.928571,0.793651,0.911458,0.554945,0.867021,0.989247,0.502024] predictive_accuracy 0.8035 prior_entropy 3.321928094887362 recall 0.8035 [0.995,0.84,0.87,0.845,0.75,0.875,0.505,0.815,0.92,0.62] relative_absolute_error 0.25300315968964504 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1738297783719173 root_relative_squared_error 0.5794325945730487 total_cost 0 area_under_roc_curve 0.969638888888889 [1,0.968056,0.988889,0.991667,0.950556,0.999722,0.917639,0.980278,0.998611,0.900972] area_under_roc_curve 0.9748333333333333 [1,0.96,0.998611,0.975,0.961944,0.988611,0.9375,0.990556,0.999722,0.936389] area_under_roc_curve 0.9624444444444444 [1,0.976389,0.998333,0.970556,0.942222,0.991389,0.855833,0.985278,1,0.904444] area_under_roc_curve 0.9836944444444444 [1,0.975,0.998056,0.995278,0.986389,0.995278,0.962778,0.995278,0.999444,0.929444] area_under_roc_curve 0.9816111111111111 [1,0.970278,1,0.988611,0.988611,0.9975,0.9425,0.987778,0.999722,0.941111] area_under_roc_curve 0.9864166666666666 [1,0.971667,0.999722,0.997778,0.988611,0.991667,0.966667,0.991389,0.998056,0.958611] area_under_roc_curve 0.9753611111111112 [1,0.964444,0.993611,0.999444,0.961111,0.985833,0.955,0.990278,1,0.903889] area_under_roc_curve 0.9782500000000002 [1,0.9625,0.998056,0.990278,0.961389,0.996944,0.929444,0.993056,0.996389,0.954444] area_under_roc_curve 0.9798888888888888 [1,0.946944,1,0.999722,0.991944,0.985833,0.945278,0.997778,1,0.931389] area_under_roc_curve 0.9648611111111112 [1,0.976667,0.951389,0.998056,0.922778,0.991667,0.912778,0.9875,0.988611,0.919167] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.8036949488508263 [1,0.693878,0.918919,0.878049,0.820513,0.947368,0.5,0.742857,0.95,0.585366] f_measure 0.7947871617027062 [1,0.744186,0.923077,0.777778,0.769231,0.789474,0.55814,0.9,0.974359,0.511628] f_measure 0.7470510757442722 [0.974359,0.72,0.947368,0.842105,0.648649,0.820513,0.4,0.727273,1,0.390244] f_measure 0.8192407667407668 [1,0.681818,0.888889,0.904762,0.791667,0.918919,0.685714,0.810811,0.918919,0.590909] f_measure 0.7732707368823521 [1,0.666667,0.918919,0.871795,0.717949,0.871795,0.344828,0.789474,0.974359,0.576923] f_measure 0.8598311342213782 [1,0.818182,0.974359,0.918919,0.769231,0.878049,0.727273,0.926829,0.974359,0.611111] f_measure 0.8177590445032306 [1,0.744186,0.888889,0.974359,0.756757,0.9,0.6,0.837209,1,0.47619] f_measure 0.7978203184107652 [1,0.693878,0.894737,0.888889,0.777778,0.923077,0.526316,0.85,0.823529,0.6] f_measure 0.86083246734723 [1,0.809524,0.947368,0.95,0.888889,0.926829,0.466667,0.952381,1,0.666667] f_measure 0.7889700773064847 [1,0.8,0.9,0.823529,0.769231,0.95,0.421053,0.820513,0.894737,0.510638] kappa 0.7777777777777778 kappa 0.7666666666666667 kappa 0.7111111111111111 kappa 0.7944444444444444 kappa 0.75 kappa 0.8444444444444444 kappa 0.7944444444444444 kappa 0.7666666666666667 kappa 0.85 kappa 0.7611111111111112 kb_relative_information_score 159.2942300638586 kb_relative_information_score 158.23456958009336 kb_relative_information_score 149.47335853599532 kb_relative_information_score 163.96747746570105 kb_relative_information_score 159.89083733599068 kb_relative_information_score 170.6667449965774 kb_relative_information_score 163.8271109050605 kb_relative_information_score 160.72021435069786 kb_relative_information_score 172.87395009493437 kb_relative_information_score 159.93667941065615 mean_absolute_error 0.047709263166705124 mean_absolute_error 0.04908496243874398 mean_absolute_error 0.056061801827289946 mean_absolute_error 0.04352250423145986 mean_absolute_error 0.04984495912493741 mean_absolute_error 0.03677717614839497 mean_absolute_error 0.04415176288007365 mean_absolute_error 0.048294033307592577 mean_absolute_error 0.03332458252435801 mean_absolute_error 0.046634641791819795 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.8173550254947713 [1,0.586207,1,0.857143,0.842105,1,0.5,0.866667,0.95,0.571429] precision 0.8040827612509536 [1,0.695652,0.947368,0.875,0.789474,0.833333,0.521739,0.9,1,0.478261] precision 0.7700905809017264 [1,0.6,1,0.888889,0.705882,0.842105,0.36,0.923077,1,0.380952] precision 0.839122740005093 [1,0.625,1,0.863636,0.678571,1,0.8,0.882353,1,0.541667] precision 0.7955383249791145 [1,0.571429,1,0.894737,0.736842,0.894737,0.555556,0.833333,1,0.46875] precision 0.8655545112781954 [1,0.75,1,1,0.789474,0.857143,0.666667,0.904762,1,0.6875] precision 0.8256335735875378 [1,0.695652,1,1,0.823529,0.9,0.6,0.782609,1,0.454545] precision 0.8258575317604356 [1,0.586207,0.944444,1,0.875,0.947368,0.555556,0.85,1,0.5] precision 0.878496718335428 [1,0.772727,1,0.95,1,0.904762,0.7,0.909091,1,0.548387] precision 0.8034912280701754 [1,0.72,0.9,1,0.789474,0.95,0.444444,0.842105,0.944444,0.444444] predictive_accuracy 0.8 predictive_accuracy 0.79 predictive_accuracy 0.74 predictive_accuracy 0.815 predictive_accuracy 0.775 predictive_accuracy 0.86 predictive_accuracy 0.815 predictive_accuracy 0.79 predictive_accuracy 0.865 predictive_accuracy 0.785 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.8 [1,0.85,0.85,0.9,0.8,0.9,0.5,0.65,0.95,0.6] recall 0.79 [1,0.8,0.9,0.7,0.75,0.75,0.6,0.9,0.95,0.55] recall 0.74 [0.95,0.9,0.9,0.8,0.6,0.8,0.45,0.6,1,0.4] recall 0.815 [1,0.75,0.8,0.95,0.95,0.85,0.6,0.75,0.85,0.65] recall 0.775 [1,0.8,0.85,0.85,0.7,0.85,0.25,0.75,0.95,0.75] recall 0.86 [1,0.9,0.95,0.85,0.75,0.9,0.8,0.95,0.95,0.55] recall 0.815 [1,0.8,0.8,0.95,0.7,0.9,0.6,0.9,1,0.5] recall 0.79 [1,0.85,0.85,0.8,0.7,0.9,0.5,0.85,0.7,0.75] recall 0.865 [1,0.85,0.9,0.95,0.8,0.95,0.35,1,1,0.85] recall 0.785 [1,0.9,0.9,0.7,0.75,0.95,0.4,0.8,0.85,0.6] relative_absolute_error 0.265051462037251 relative_absolute_error 0.2726942357708002 relative_absolute_error 0.3114544545960556 relative_absolute_error 0.2417916901747773 relative_absolute_error 0.2769164395829859 relative_absolute_error 0.20431764526886118 relative_absolute_error 0.245287571555965 relative_absolute_error 0.2683001850421813 relative_absolute_error 0.1851365695797669 relative_absolute_error 0.25908134328788807 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.18211930902023274 root_mean_squared_error 0.17961669175599923 root_mean_squared_error 0.20393033305635797 root_mean_squared_error 0.16796559945105005 root_mean_squared_error 0.17747033836023718 root_mean_squared_error 0.15075956236640287 root_mean_squared_error 0.1691209535767335 root_mean_squared_error 0.17344633883455127 root_mean_squared_error 0.14578320140239515 root_mean_squared_error 0.1810410412750183 root_relative_squared_error 0.6070643634007761 root_relative_squared_error 0.5987223058533311 root_relative_squared_error 0.6797677768545269 root_relative_squared_error 0.5598853315035005 root_relative_squared_error 0.5915677945341242 root_relative_squared_error 0.5025318745546765 root_relative_squared_error 0.5637365119224453 root_relative_squared_error 0.5781544627818379 root_relative_squared_error 0.48594400467465076 root_relative_squared_error 0.6034701375833947 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 9849.438827 usercpu_time_millis 10000.186573999996 usercpu_time_millis 9960.215198000002 usercpu_time_millis 9908.329827000001 usercpu_time_millis 10118.709178999992 usercpu_time_millis 9895.541702000002 usercpu_time_millis 9985.753977 usercpu_time_millis 9962.336813000009 usercpu_time_millis 9935.058780999994 usercpu_time_millis 9886.889827000005 usercpu_time_millis_testing 33.65592900000003 usercpu_time_millis_testing 33.406442999996955 usercpu_time_millis_testing 32.859058999999746 usercpu_time_millis_testing 32.879837000002965 usercpu_time_millis_testing 33.58541199999365 usercpu_time_millis_testing 33.546820000005084 usercpu_time_millis_testing 33.033197999998265 usercpu_time_millis_testing 32.513880999999856 usercpu_time_millis_testing 32.770553000005975 usercpu_time_millis_testing 32.94710600000883 usercpu_time_millis_training 9815.782898 usercpu_time_millis_training 9966.780131 usercpu_time_millis_training 9927.356139000001 usercpu_time_millis_training 9875.44999 usercpu_time_millis_training 10085.123767 usercpu_time_millis_training 9861.994881999997 usercpu_time_millis_training 9952.720779000003 usercpu_time_millis_training 9929.822932000008 usercpu_time_millis_training 9902.288227999989 usercpu_time_millis_training 9853.942720999996