10098166 1 Jan van Rijn 9976 Supervised Classification 8815 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 8023315 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "mean" 8778 verbose 0 8778 copy true 8779 with_mean true 8779 with_std true 8779 memory null 8780 copy true 8781 fill_value -1 8781 missing_values NaN 8781 strategy "constant" 8781 verbose 0 8781 categorical_features null 8782 categories null 8782 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8782 handle_unknown "ignore" 8782 n_values null 8782 sparse true 8782 class_weight null 8783 criterion "gini" 8783 max_depth null 8783 max_features 1.0 8783 max_leaf_nodes null 8783 min_impurity_decrease 0.0 8783 min_impurity_split null 8783 min_samples_leaf 12 8783 min_samples_split 7 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 42586 8783 splitter "best" 8783 n_jobs null 8812 remainder "passthrough" 8812 sparse_threshold 0.3 8812 transformer_weights null 8812 memory null 8813 memory null 8815 threshold 0.0 8816 openml-python Sklearn_0.20.0. 1485 madelon https://www.openml.org/data/download/1590986/phpfLuQE4 -1 21116869 description https://api.openml.org/data/download/21116869/description.xml -1 21116870 predictions https://api.openml.org/data/download/21116870/predictions.arff area_under_roc_curve 0.8361615384615384 [0.836162,0.836162] average_cost 0 f_measure 0.7826920183769476 [0.782943,0.782441] kappa 0.5653846153846154 kb_relative_information_score 1341.7665841445134 mean_absolute_error 0.24622257788702706 mean_prior_absolute_error 0.5 number_of_instances 2600 [1300,1300] precision 0.7826938131623187 [0.782041,0.783346] predictive_accuracy 0.7826923076923077 prior_entropy 1 recall 0.7826923076923077 [0.783846,0.781538] relative_absolute_error 0.49244515577405407 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.414712078923407 root_relative_squared_error 0.829424157846814 total_cost 0 area_under_roc_curve 0.8390532544378698 [0.839053,0.839053] area_under_roc_curve 0.8327514792899409 [0.832751,0.832751] area_under_roc_curve 0.8303846153846154 [0.830385,0.830385] area_under_roc_curve 0.8635502958579881 [0.86355,0.86355] area_under_roc_curve 0.8855325443786982 [0.885533,0.885533] area_under_roc_curve 0.832603550295858 [0.832604,0.832604] area_under_roc_curve 0.8611242603550295 [0.861124,0.861124] area_under_roc_curve 0.766094674556213 [0.766095,0.766095] area_under_roc_curve 0.8227810650887574 [0.822781,0.822781] area_under_roc_curve 0.8283136094674556 [0.828314,0.828314] 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 0.8076809278655542 [0.80916,0.806202] f_measure 0.7576600434969152 [0.760456,0.754864] f_measure 0.7921970280030785 [0.787402,0.796992] f_measure 0.7921970280030785 [0.787402,0.796992] f_measure 0.8422866949741828 [0.840467,0.844106] f_measure 0.7921970280030785 [0.796992,0.787402] f_measure 0.8076809278655542 [0.806202,0.80916] f_measure 0.6998401515600023 [0.706767,0.692913] f_measure 0.773046707401873 [0.775665,0.770428] f_measure 0.7615384615384615 [0.761538,0.761538] kappa 0.6153846153846154 kappa 0.5153846153846153 kappa 0.5846153846153845 kappa 0.5846153846153845 kappa 0.6846153846153846 kappa 0.5846153846153845 kappa 0.6153846153846154 kappa 0.3999999999999999 kappa 0.5461538461538462 kappa 0.523076923076923 kb_relative_information_score 137.3069099623176 kb_relative_information_score 132.45718958601356 kb_relative_information_score 131.8483158793095 kb_relative_information_score 145.75510133742787 kb_relative_information_score 152.95076204043474 kb_relative_information_score 140.05992705483493 kb_relative_information_score 141.8721512905266 kb_relative_information_score 97.19265803150843 kb_relative_information_score 128.57034807907038 kb_relative_information_score 133.75322088307271 mean_absolute_error 0.24133988003674242 mean_absolute_error 0.24839894963405226 mean_absolute_error 0.2508370778573182 mean_absolute_error 0.22319745057078375 mean_absolute_error 0.21258708443342858 mean_absolute_error 0.23455137166556556 mean_absolute_error 0.23172876278368523 mean_absolute_error 0.31595336402865626 mean_absolute_error 0.25827516940073497 mean_absolute_error 0.24535666845930285 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] precision 0.8077651515151515 [0.80303,0.8125] precision 0.7578296134035877 [0.75188,0.76378] precision 0.7929316888045541 [0.806452,0.779412] precision 0.7929316888045541 [0.806452,0.779412] precision 0.8424900834764075 [0.850394,0.834586] precision 0.7929316888045541 [0.779412,0.806452] precision 0.8077651515151515 [0.8125,0.80303] precision 0.700426944971537 [0.691176,0.709677] precision 0.7732224261441003 [0.766917,0.779528] precision 0.7615384615384615 [0.761538,0.761538] predictive_accuracy 0.8076923076923077 predictive_accuracy 0.7576923076923078 predictive_accuracy 0.7923076923076923 predictive_accuracy 0.7923076923076923 predictive_accuracy 0.8423076923076923 predictive_accuracy 0.7923076923076923 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.7 predictive_accuracy 0.7730769230769231 predictive_accuracy 0.7615384615384616 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 recall 0.8076923076923077 [0.815385,0.8] recall 0.7576923076923077 [0.769231,0.746154] recall 0.7923076923076923 [0.769231,0.815385] recall 0.7923076923076923 [0.769231,0.815385] recall 0.8423076923076923 [0.830769,0.853846] recall 0.7923076923076923 [0.815385,0.769231] recall 0.8076923076923077 [0.8,0.815385] recall 0.7 [0.723077,0.676923] recall 0.7730769230769231 [0.784615,0.761538] recall 0.7615384615384615 [0.761538,0.761538] relative_absolute_error 0.4826797600734849 relative_absolute_error 0.4967978992681045 relative_absolute_error 0.5016741557146364 relative_absolute_error 0.4463949011415675 relative_absolute_error 0.42517416886685716 relative_absolute_error 0.46910274333113106 relative_absolute_error 0.46345752556737047 relative_absolute_error 0.6319067280573125 relative_absolute_error 0.5165503388014699 relative_absolute_error 0.49071333691860564 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.41524727832270075 root_mean_squared_error 0.417473417909007 root_mean_squared_error 0.4218335481294621 root_mean_squared_error 0.39163549403860093 root_mean_squared_error 0.36245198934168465 root_mean_squared_error 0.41682724811449123 root_mean_squared_error 0.3938479385948119 root_mean_squared_error 0.4741050242612557 root_mean_squared_error 0.4225483417062969 root_mean_squared_error 0.42221979054044395 root_relative_squared_error 0.8304945566454015 root_relative_squared_error 0.834946835818014 root_relative_squared_error 0.8436670962589242 root_relative_squared_error 0.7832709880772019 root_relative_squared_error 0.7249039786833693 root_relative_squared_error 0.8336544962289824 root_relative_squared_error 0.7876958771896237 root_relative_squared_error 0.9482100485225115 root_relative_squared_error 0.8450966834125938 root_relative_squared_error 0.8444395810808879 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 614.7260020006797 usercpu_time_millis 475.4544910010736 usercpu_time_millis 467.6432519991067 usercpu_time_millis 439.52208300106577 usercpu_time_millis 434.24941299963393 usercpu_time_millis 433.29307999920275 usercpu_time_millis 448.2020899995405 usercpu_time_millis 445.3475200007233 usercpu_time_millis 459.12988999953086 usercpu_time_millis 459.71399699919857 usercpu_time_millis_testing 6.125416000941186 usercpu_time_millis_testing 4.459087000213913 usercpu_time_millis_testing 4.78162999934284 usercpu_time_millis_testing 4.64792400089209 usercpu_time_millis_testing 4.446543000085512 usercpu_time_millis_testing 4.514795000432059 usercpu_time_millis_testing 4.499877999478485 usercpu_time_millis_testing 4.4595729996217415 usercpu_time_millis_testing 4.595005999362911 usercpu_time_millis_testing 4.6001949995115865 usercpu_time_millis_training 608.6005859997385 usercpu_time_millis_training 470.9954040008597 usercpu_time_millis_training 462.8616219997639 usercpu_time_millis_training 434.8741590001737 usercpu_time_millis_training 429.8028699995484 usercpu_time_millis_training 428.7782849987707 usercpu_time_millis_training 443.702212000062 usercpu_time_millis_training 440.88794700110157 usercpu_time_millis_training 454.53488400016795 usercpu_time_millis_training 455.113801999687