10092940 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) 8018050 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "median" 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 13 8783 min_samples_split 11 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 42108 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 21106417 description https://api.openml.org/data/download/21106417/description.xml -1 21106418 predictions https://api.openml.org/data/download/21106418/predictions.arff area_under_roc_curve 0.8386402366863906 [0.83864,0.83864] average_cost 0 f_measure 0.7853834724563622 [0.785879,0.784888] kappa 0.5707692307692307 kb_relative_information_score 1337.360055600798 mean_absolute_error 0.24746909082208005 mean_prior_absolute_error 0.5 number_of_instances 2600 [1300,1300] precision 0.7853906947130236 [0.784074,0.786708] predictive_accuracy 0.7853846153846153 prior_entropy 1 recall 0.7853846153846153 [0.787692,0.783077] relative_absolute_error 0.49493818164416015 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.41262622846663877 root_relative_squared_error 0.8252524569332774 total_cost 0 area_under_roc_curve 0.8345562130177515 [0.834556,0.834556] area_under_roc_curve 0.8183727810650887 [0.818373,0.818373] area_under_roc_curve 0.83698224852071 [0.836982,0.836982] area_under_roc_curve 0.8514497041420118 [0.85145,0.85145] area_under_roc_curve 0.8774556213017751 [0.877456,0.877456] area_under_roc_curve 0.8351183431952662 [0.835118,0.835118] area_under_roc_curve 0.8734023668639054 [0.873402,0.873402] area_under_roc_curve 0.7778994082840237 [0.777899,0.777899] area_under_roc_curve 0.8422781065088757 [0.842278,0.842278] area_under_roc_curve 0.8350295857988166 [0.83503,0.83503] 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 0.7961508306335893 [0.795367,0.796935] f_measure 0.7692171134386651 [0.770992,0.767442] f_measure 0.7960059806664594 [0.790514,0.801498] f_measure 0.7883832778394376 [0.784314,0.792453] f_measure 0.8345541990381058 [0.837736,0.831373] f_measure 0.7765925925925925 [0.785185,0.768] f_measure 0.8114017557105003 [0.806324,0.816479] f_measure 0.7187273077550053 [0.730627,0.706827] f_measure 0.7884584091480643 [0.789272,0.787645] f_measure 0.773046707401873 [0.770428,0.775665] kappa 0.5923076923076922 kappa 0.5384615384615385 kappa 0.5923076923076922 kappa 0.5769230769230769 kappa 0.6692307692307693 kappa 0.5538461538461539 kappa 0.6230769230769231 kappa 0.43846153846153846 kappa 0.5769230769230769 kappa 0.5461538461538462 kb_relative_information_score 132.12880358246414 kb_relative_information_score 126.63385021361889 kb_relative_information_score 135.8473968290183 kb_relative_information_score 145.8417972596813 kb_relative_information_score 152.2017879485649 kb_relative_information_score 136.1420064057651 kb_relative_information_score 139.83472191637853 kb_relative_information_score 101.5455944594236 kb_relative_information_score 132.86374581524638 kb_relative_information_score 134.32035117063455 mean_absolute_error 0.2517261359872698 mean_absolute_error 0.2612748284190761 mean_absolute_error 0.2426934113177241 mean_absolute_error 0.22351556325382138 mean_absolute_error 0.2141515164192407 mean_absolute_error 0.24135386956326477 mean_absolute_error 0.23730345352665488 mean_absolute_error 0.30820274745635345 mean_absolute_error 0.24952484481330642 mean_absolute_error 0.24494453746408787 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 0.7961713710870465 [0.79845,0.793893] precision 0.7692945075757576 [0.765152,0.773438] precision 0.7970150139457599 [0.813008,0.781022] precision 0.7888888888888889 [0.8,0.777778] precision 0.835111111111111 [0.822222,0.848] precision 0.7785714285714286 [0.757143,0.8] precision 0.8124443653195657 [0.829268,0.79562] precision 0.7208117289468978 [0.702128,0.739496] precision 0.7884786082016686 [0.78626,0.790698] precision 0.7732224261441003 [0.779528,0.766917] predictive_accuracy 0.7961538461538461 predictive_accuracy 0.7692307692307692 predictive_accuracy 0.7961538461538461 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.8346153846153846 predictive_accuracy 0.7769230769230769 predictive_accuracy 0.8115384615384617 predictive_accuracy 0.7192307692307692 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.7730769230769231 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 0.7961538461538461 [0.792308,0.8] recall 0.7692307692307693 [0.776923,0.761538] recall 0.7961538461538461 [0.769231,0.823077] recall 0.7884615384615384 [0.769231,0.807692] recall 0.8346153846153846 [0.853846,0.815385] recall 0.7769230769230769 [0.815385,0.738462] recall 0.8115384615384615 [0.784615,0.838462] recall 0.7192307692307692 [0.761538,0.676923] recall 0.7884615384615384 [0.792308,0.784615] recall 0.7730769230769231 [0.761538,0.784615] relative_absolute_error 0.5034522719745396 relative_absolute_error 0.5225496568381522 relative_absolute_error 0.4853868226354482 relative_absolute_error 0.44703112650764276 relative_absolute_error 0.4283030328384815 relative_absolute_error 0.48270773912652953 relative_absolute_error 0.47460690705330977 relative_absolute_error 0.6164054949127069 relative_absolute_error 0.49904968962661284 relative_absolute_error 0.48988907492817574 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 0.4162436680113261 root_mean_squared_error 0.4282548852424436 root_mean_squared_error 0.416051060699643 root_mean_squared_error 0.39454820469598273 root_mean_squared_error 0.36938653903932284 root_mean_squared_error 0.4188560397650183 root_mean_squared_error 0.3811620391690071 root_mean_squared_error 0.46391286315643515 root_mean_squared_error 0.41328318459297925 root_mean_squared_error 0.41711725295231994 root_relative_squared_error 0.8324873360226522 root_relative_squared_error 0.8565097704848871 root_relative_squared_error 0.832102121399286 root_relative_squared_error 0.7890964093919655 root_relative_squared_error 0.7387730780786457 root_relative_squared_error 0.8377120795300366 root_relative_squared_error 0.7623240783380142 root_relative_squared_error 0.9278257263128702 root_relative_squared_error 0.8265663691859585 root_relative_squared_error 0.8342345059046399 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 686.8581430007907 usercpu_time_millis 555.4718499988667 usercpu_time_millis 530.1824250000209 usercpu_time_millis 518.60642399879 usercpu_time_millis 512.7468279988534 usercpu_time_millis 522.2235909986921 usercpu_time_millis 533.7026519973733 usercpu_time_millis 537.3524679998809 usercpu_time_millis 553.4765059983329 usercpu_time_millis 544.2806750015734 usercpu_time_millis_testing 4.694225999628543 usercpu_time_millis_testing 4.788529999132152 usercpu_time_millis_testing 4.954726000505616 usercpu_time_millis_testing 4.73739999870304 usercpu_time_millis_testing 4.774167999130441 usercpu_time_millis_testing 4.762881999340607 usercpu_time_millis_testing 4.7541949988954 usercpu_time_millis_testing 4.7806429993215716 usercpu_time_millis_testing 4.866891998972278 usercpu_time_millis_testing 4.71384900083649 usercpu_time_millis_training 682.1639170011622 usercpu_time_millis_training 550.6833199997345 usercpu_time_millis_training 525.2276989995153 usercpu_time_millis_training 513.8690240000869 usercpu_time_millis_training 507.97265999972296 usercpu_time_millis_training 517.4607089993515 usercpu_time_millis_training 528.9484569984779 usercpu_time_millis_training 532.5718250005593 usercpu_time_millis_training 548.6096139993606 usercpu_time_millis_training 539.5668260007369