10149247 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) 8074879 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 "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 17 8783 min_samples_split 18 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 41688 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 21219033 description https://api.openml.org/data/download/21219033/description.xml -1 21219034 predictions https://api.openml.org/data/download/21219034/predictions.arff area_under_roc_curve 0.8388183431952663 [0.838818,0.838818] average_cost 0 f_measure 0.7830723021318797 [0.784074,0.782071] kappa 0.5661538461538462 kb_relative_information_score 1294.2760939961026 mean_absolute_error 0.2572957543096127 mean_prior_absolute_error 0.5 number_of_instances 2600 [1300,1300] precision 0.7831010452961672 [0.780488,0.785714] predictive_accuracy 0.7830769230769231 prior_entropy 1 recall 0.7830769230769231 [0.787692,0.778462] relative_absolute_error 0.5145915086192254 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.4099467588828637 root_relative_squared_error 0.8198935177657273 total_cost 0 area_under_roc_curve 0.851301775147929 [0.851302,0.851302] area_under_roc_curve 0.8303550295857988 [0.830355,0.830355] area_under_roc_curve 0.8348816568047337 [0.834882,0.834882] area_under_roc_curve 0.8567455621301775 [0.856746,0.856746] area_under_roc_curve 0.8827218934911243 [0.882722,0.882722] area_under_roc_curve 0.8605325443786982 [0.860533,0.860533] area_under_roc_curve 0.8629585798816568 [0.862959,0.862959] area_under_roc_curve 0.768698224852071 [0.768698,0.768698] area_under_roc_curve 0.8036686390532545 [0.803669,0.803669] area_under_roc_curve 0.8311242603550296 [0.831124,0.831124] 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 0.8038200352117886 [0.806084,0.801556] f_measure 0.7884584091480643 [0.789272,0.787645] f_measure 0.7767116796967545 [0.769841,0.783582] f_measure 0.7998934343733348 [0.795276,0.804511] f_measure 0.8115356736046392 [0.812261,0.810811] f_measure 0.8038200352117886 [0.806084,0.801556] f_measure 0.8038432521191142 [0.803089,0.804598] f_measure 0.6830964980082049 [0.705036,0.661157] f_measure 0.7730735661770145 [0.772201,0.773946] f_measure 0.7846026392094209 [0.78626,0.782946] kappa 0.6076923076923078 kappa 0.5769230769230769 kappa 0.5538461538461539 kappa 0.6000000000000001 kappa 0.6230769230769231 kappa 0.6076923076923078 kappa 0.6076923076923078 kappa 0.36923076923076925 kappa 0.5461538461538462 kappa 0.5692307692307692 kb_relative_information_score 131.0601000743911 kb_relative_information_score 131.8028206184622 kb_relative_information_score 130.51655158497886 kb_relative_information_score 145.46160403294547 kb_relative_information_score 145.53211205601917 kb_relative_information_score 137.65476418422526 kb_relative_information_score 136.5820569928416 kb_relative_information_score 92.51934538002855 kb_relative_information_score 118.28916874799832 kb_relative_information_score 124.85757032421071 mean_absolute_error 0.2556980409475667 mean_absolute_error 0.2541052967059821 mean_absolute_error 0.25315060778374265 mean_absolute_error 0.22691389844146917 mean_absolute_error 0.2266645727454721 mean_absolute_error 0.2410128562527945 mean_absolute_error 0.24453424112380734 mean_absolute_error 0.32467843982580374 mean_absolute_error 0.2801286387948258 mean_absolute_error 0.26607095047466794 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 0.8040080516251258 [0.796992,0.811024] precision 0.7884786082016686 [0.78626,0.790698] precision 0.777975766215253 [0.795082,0.76087] precision 0.8006404174573056 [0.814516,0.786765] precision 0.8115568968578023 [0.80916,0.813953] precision 0.8040080516251258 [0.796992,0.811024] precision 0.8038641339724244 [0.806202,0.801527] precision 0.6882239382239382 [0.662162,0.714286] precision 0.7730930824309131 [0.775194,0.770992] precision 0.7846827651515151 [0.780303,0.789062] predictive_accuracy 0.8038461538461539 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.7769230769230769 predictive_accuracy 0.8 predictive_accuracy 0.8115384615384617 predictive_accuracy 0.8038461538461539 predictive_accuracy 0.8038461538461539 predictive_accuracy 0.6846153846153846 predictive_accuracy 0.7730769230769231 predictive_accuracy 0.7846153846153847 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 0.8038461538461539 [0.815385,0.792308] recall 0.7884615384615384 [0.792308,0.784615] recall 0.7769230769230769 [0.746154,0.807692] recall 0.8 [0.776923,0.823077] recall 0.8115384615384615 [0.815385,0.807692] recall 0.8038461538461539 [0.815385,0.792308] recall 0.8038461538461539 [0.8,0.807692] recall 0.6846153846153846 [0.753846,0.615385] recall 0.7730769230769231 [0.769231,0.776923] recall 0.7846153846153846 [0.792308,0.776923] relative_absolute_error 0.5113960818951334 relative_absolute_error 0.5082105934119642 relative_absolute_error 0.5063012155674853 relative_absolute_error 0.4538277968829384 relative_absolute_error 0.45332914549094416 relative_absolute_error 0.48202571250558907 relative_absolute_error 0.4890684822476147 relative_absolute_error 0.6493568796516075 relative_absolute_error 0.5602572775896516 relative_absolute_error 0.5321419009493359 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 0.39836382245766216 root_mean_squared_error 0.40964414767305773 root_mean_squared_error 0.4172281023267825 root_mean_squared_error 0.3863666628799058 root_mean_squared_error 0.3712693165721193 root_mean_squared_error 0.3977724694778544 root_mean_squared_error 0.3883647413478587 root_mean_squared_error 0.47133339093754145 root_mean_squared_error 0.4355081442761992 root_mean_squared_error 0.414716019096695 root_relative_squared_error 0.7967276449153243 root_relative_squared_error 0.8192882953461155 root_relative_squared_error 0.834456204653565 root_relative_squared_error 0.7727333257598116 root_relative_squared_error 0.7425386331442386 root_relative_squared_error 0.7955449389557088 root_relative_squared_error 0.7767294826957173 root_relative_squared_error 0.9426667818750829 root_relative_squared_error 0.8710162885523984 root_relative_squared_error 0.82943203819339 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 1817.9842490026203 usercpu_time_millis 1611.334421999345 usercpu_time_millis 1630.0445800006855 usercpu_time_millis 1648.92461600175 usercpu_time_millis 1648.8463260029675 usercpu_time_millis 1619.6032520019799 usercpu_time_millis 1623.256909999327 usercpu_time_millis 1636.0303569963435 usercpu_time_millis 1699.4747129974712 usercpu_time_millis 1700.2853250014596 usercpu_time_millis_testing 4.591214001266053 usercpu_time_millis_testing 4.644221000489779 usercpu_time_millis_testing 4.633302000002004 usercpu_time_millis_testing 4.633563999959733 usercpu_time_millis_testing 4.834072002267931 usercpu_time_millis_testing 4.479825001908466 usercpu_time_millis_testing 4.494069999054773 usercpu_time_millis_testing 4.910782998194918 usercpu_time_millis_testing 4.433883997990051 usercpu_time_millis_testing 5.6938710004033055 usercpu_time_millis_training 1813.3930350013543 usercpu_time_millis_training 1606.6902009988553 usercpu_time_millis_training 1625.4112780006835 usercpu_time_millis_training 1644.2910520017904 usercpu_time_millis_training 1644.0122540006996 usercpu_time_millis_training 1615.1234270000714 usercpu_time_millis_training 1618.7628400002723 usercpu_time_millis_training 1631.1195739981486 usercpu_time_millis_training 1695.0408289994812 usercpu_time_millis_training 1694.5914540010563