10148824 1 Jan van Rijn 146606 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) 8074453 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "most_frequent" 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 "entropy" 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 18 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 21702 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. 23512 higgs https://www.openml.org/data/download/2063675/phpZLgL9q -1 21218187 description https://api.openml.org/data/download/21218187/description.xml -1 21218188 predictions https://api.openml.org/data/download/21218188/predictions.arff area_under_roc_curve 0.7025825376921396 [0.702583,0.702583] average_cost 0 f_measure 0.6452709042675261 [0.626811,0.661735] kappa 0.2885921959202301 kb_relative_information_score 25772.688468272663 mean_absolute_error 0.3693057150653884 mean_prior_absolute_error 0.4983667141368659 number_of_instances 98050 [46223,51827] precision 0.6454956813278685 [0.621538,0.666863] predictive_accuracy 0.6451300356960735 prior_entropy 0.9976424301660018 recall 0.6451300356960734 [0.632174,0.656685] relative_absolute_error 0.7410320645209992 root_mean_prior_squared_error 0.4991826723867985 root_mean_squared_error 0.5099985832214753 root_relative_squared_error 1.0216672401366849 total_cost 0 area_under_roc_curve 0.7087974162713858 [0.708797,0.708797] area_under_roc_curve 0.7053956510802589 [0.705396,0.705396] area_under_roc_curve 0.7057568282628273 [0.705757,0.705757] area_under_roc_curve 0.7041908719824563 [0.704191,0.704191] area_under_roc_curve 0.7013127203378419 [0.701313,0.701313] area_under_roc_curve 0.6982562613370126 [0.698256,0.698256] area_under_roc_curve 0.7019172079476617 [0.701917,0.701917] area_under_roc_curve 0.6923159318321982 [0.692316,0.692316] area_under_roc_curve 0.7004223106312427 [0.700422,0.700422] area_under_roc_curve 0.707461579492187 [0.707462,0.707462] 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 0.6459889448045966 [0.626506,0.66337] f_measure 0.6476432180090153 [0.628786,0.664466] f_measure 0.650409844673813 [0.632042,0.666796] f_measure 0.6447447506457592 [0.62465,0.662665] f_measure 0.6421078342495801 [0.622174,0.659884] f_measure 0.6445126887648205 [0.629645,0.657771] f_measure 0.6452971223582947 [0.626195,0.662331] f_measure 0.6390859307884968 [0.619845,0.656244] f_measure 0.6444972277898084 [0.625738,0.661226] f_measure 0.6483568634106972 [0.632431,0.662559] kappa 0.2898947162289296 kappa 0.2932824576877698 kappa 0.2988772537707769 kappa 0.28732519599766093 kappa 0.2820739472668742 kappa 0.2876408483312366 kappa 0.28855614413374603 kappa 0.2761241965555644 kappa 0.2870035944866813 kappa 0.2951380743607062 kb_relative_information_score 2657.9580725856476 kb_relative_information_score 2629.4347379198634 kb_relative_information_score 2633.419604240031 kb_relative_information_score 2594.7273505675585 kb_relative_information_score 2525.677643077615 kb_relative_information_score 2516.425419735637 kb_relative_information_score 2567.6310661507623 kb_relative_information_score 2443.2856329937345 kb_relative_information_score 2572.5711885363567 kb_relative_information_score 2631.557752461675 mean_absolute_error 0.36508852377675316 mean_absolute_error 0.36693539006090936 mean_absolute_error 0.3667286137708602 mean_absolute_error 0.36816009116207055 mean_absolute_error 0.3717161445335631 mean_absolute_error 0.3724568197542744 mean_absolute_error 0.36967253461397837 mean_absolute_error 0.375829878339334 mean_absolute_error 0.36978340973939433 mean_absolute_error 0.36668574490280725 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] precision 0.6461165090470448 [0.623154,0.666602] precision 0.6478148032268998 [0.624493,0.668621] precision 0.650611262415137 [0.627129,0.67156] precision 0.6448377697785317 [0.622103,0.665112] precision 0.6422245336760385 [0.619109,0.662838] precision 0.6451676813437311 [0.618224,0.669195] precision 0.6454664492658876 [0.621985,0.666406] precision 0.6392735633738168 [0.615352,0.660606] precision 0.6447007176996928 [0.620873,0.665949] precision 0.6488466717094794 [0.623006,0.67189] predictive_accuracy 0.6458949515553288 predictive_accuracy 0.6475267720550739 predictive_accuracy 0.6502804691483937 predictive_accuracy 0.64467108618052 predictive_accuracy 0.6420193778684344 predictive_accuracy 0.644263131055584 predictive_accuracy 0.6451810300866905 predictive_accuracy 0.6389597144314125 predictive_accuracy 0.644365119836818 predictive_accuracy 0.6481387047424784 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 recall 0.6458949515553289 [0.629894,0.66017] recall 0.6475267720550739 [0.633139,0.660363] recall 0.6502804691483937 [0.637032,0.6621] recall 0.6446710861805202 [0.627218,0.660235] recall 0.6420193778684344 [0.62527,0.656955] recall 0.6442631310555839 [0.641497,0.64673] recall 0.6451810300866905 [0.630463,0.658306] recall 0.6389597144314125 [0.624405,0.651939] recall 0.644365119836818 [0.630679,0.65657] recall 0.6481387047424784 [0.642146,0.653483] relative_absolute_error 0.732564042379455 relative_absolute_error 0.7362698499925234 relative_absolute_error 0.735854945482955 relative_absolute_error 0.7387358997823692 relative_absolute_error 0.7458713399078098 relative_absolute_error 0.7473575503601475 relative_absolute_error 0.741770710727761 relative_absolute_error 0.7541258001750241 relative_absolute_error 0.7419931884962749 relative_absolute_error 0.7357775332006199 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_squared_error 0.5060487028791114 root_mean_squared_error 0.508330941781111 root_mean_squared_error 0.5075081265807219 root_mean_squared_error 0.5101531312115751 root_mean_squared_error 0.5095977893735297 root_mean_squared_error 0.5122804792809494 root_mean_squared_error 0.5103961875980538 root_mean_squared_error 0.517030835065116 root_mean_squared_error 0.5115235848761839 root_mean_squared_error 0.5070270900029803 root_relative_squared_error 1.013746245066807 root_relative_squared_error 1.0183181590033206 root_relative_squared_error 1.0166698476549607 root_relative_squared_error 1.0219804282045652 root_relative_squared_error 1.0208679220672459 root_relative_squared_error 1.0262421056458384 root_relative_squared_error 1.0224673386138798 root_relative_squared_error 1.0357584064218366 root_relative_squared_error 1.0247258329415019 root_relative_squared_error 1.0157180870809155 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 118834.74336399922 usercpu_time_millis 115030.99186200052 usercpu_time_millis 114911.00720899977 usercpu_time_millis 114040.92784299975 usercpu_time_millis 113138.06995100003 usercpu_time_millis 113656.65496899965 usercpu_time_millis 113813.41463200079 usercpu_time_millis 113456.49460200002 usercpu_time_millis 121627.44467999984 usercpu_time_millis 121280.48895600022 usercpu_time_millis_testing 13.231901999461115 usercpu_time_millis_testing 14.129735000096844 usercpu_time_millis_testing 13.648414999806846 usercpu_time_millis_testing 12.245733999407094 usercpu_time_millis_testing 12.210617000164348 usercpu_time_millis_testing 11.993524999525107 usercpu_time_millis_testing 12.48486700023932 usercpu_time_millis_testing 12.669085999732488 usercpu_time_millis_testing 13.787345999844547 usercpu_time_millis_testing 13.282340999467124 usercpu_time_millis_training 118821.51146199976 usercpu_time_millis_training 115016.86212700042 usercpu_time_millis_training 114897.35879399996 usercpu_time_millis_training 114028.68210900034 usercpu_time_millis_training 113125.85933399986 usercpu_time_millis_training 113644.66144400011 usercpu_time_millis_training 113800.92976500055 usercpu_time_millis_training 113443.82551600029 usercpu_time_millis_training 121613.65733399999 usercpu_time_millis_training 121267.20661500076