10096818 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) 8021961 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 11 8783 min_samples_split 14 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 8928 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 21114173 description https://api.openml.org/data/download/21114173/description.xml -1 21114175 predictions https://api.openml.org/data/download/21114175/predictions.arff area_under_roc_curve 0.8443606508875738 [0.844361,0.844361] average_cost 0 f_measure 0.7826915040366275 [0.782274,0.783109] kappa 0.5653846153846154 kb_relative_information_score 1381.8409412415442 mean_absolute_error 0.23751381903303434 mean_prior_absolute_error 0.5 number_of_instances 2600 [1300,1300] precision 0.7826964895930414 [0.783784,0.781609] predictive_accuracy 0.7826923076923077 prior_entropy 1 recall 0.7826923076923077 [0.780769,0.784615] relative_absolute_error 0.4750276380660686 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.41009428062043923 root_relative_squared_error 0.8201885612408785 total_cost 0 area_under_roc_curve 0.8429289940828403 [0.842929,0.842929] area_under_roc_curve 0.8577514792899408 [0.857751,0.857751] area_under_roc_curve 0.8505029585798817 [0.850503,0.850503] area_under_roc_curve 0.8692011834319526 [0.869201,0.869201] area_under_roc_curve 0.8798520710059171 [0.879852,0.879852] area_under_roc_curve 0.8381360946745562 [0.838136,0.838136] area_under_roc_curve 0.8567751479289941 [0.856775,0.856775] area_under_roc_curve 0.7655325443786982 [0.765533,0.765533] area_under_roc_curve 0.8279585798816568 [0.827959,0.827959] area_under_roc_curve 0.8505621301775148 [0.850562,0.850562] 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 0.8115133671642674 [0.809339,0.813688] f_measure 0.7769230769230768 [0.776923,0.776923] f_measure 0.8074074074074074 [0.8,0.814815] f_measure 0.7883832778394376 [0.784314,0.792453] f_measure 0.8306088604596067 [0.825397,0.835821] f_measure 0.7692171134386651 [0.767442,0.770992] f_measure 0.7960784313725489 [0.8,0.792157] f_measure 0.7153172348484849 [0.719697,0.710938] f_measure 0.7611851851851852 [0.77037,0.752] f_measure 0.7691761363636365 [0.772727,0.765625] kappa 0.6230769230769231 kappa 0.5538461538461539 kappa 0.6153846153846154 kappa 0.5769230769230769 kappa 0.6615384615384616 kappa 0.5384615384615385 kappa 0.5923076923076922 kappa 0.4307692307692308 kappa 0.523076923076923 kappa 0.5384615384615385 kb_relative_information_score 142.08852923443948 kb_relative_information_score 145.09264881965927 kb_relative_information_score 138.19654001699578 kb_relative_information_score 148.5097004966093 kb_relative_information_score 153.0810978967416 kb_relative_information_score 141.62808328103944 kb_relative_information_score 140.20422563244603 kb_relative_information_score 100.81593233269459 kb_relative_information_score 132.5915243130987 kb_relative_information_score 139.63265921782252 mean_absolute_error 0.23260736255422504 mean_absolute_error 0.22167663585917943 mean_absolute_error 0.2383111032744875 mean_absolute_error 0.21740510974167807 mean_absolute_error 0.21056162804674358 mean_absolute_error 0.22878802728588396 mean_absolute_error 0.2349391025674069 mean_absolute_error 0.3089487649433469 mean_absolute_error 0.2479633658197008 mean_absolute_error 0.23393709023769754 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 0.8117044579953822 [0.818898,0.804511] precision 0.7769230769230769 [0.776923,0.776923] precision 0.8095238095238095 [0.833333,0.785714] precision 0.7888888888888889 [0.8,0.777778] precision 0.8320266096459967 [0.852459,0.811594] precision 0.7692945075757576 [0.773438,0.765152] precision 0.7965925925925926 [0.785185,0.808] precision 0.7155887230514095 [0.708955,0.722222] precision 0.763095238095238 [0.742857,0.783333] precision 0.769485903814262 [0.761194,0.777778] predictive_accuracy 0.8115384615384617 predictive_accuracy 0.7769230769230769 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.7884615384615384 predictive_accuracy 0.8307692307692308 predictive_accuracy 0.7692307692307692 predictive_accuracy 0.7961538461538461 predictive_accuracy 0.7153846153846153 predictive_accuracy 0.7615384615384616 predictive_accuracy 0.7692307692307692 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 0.8115384615384615 [0.8,0.823077] recall 0.7769230769230769 [0.776923,0.776923] recall 0.8076923076923077 [0.769231,0.846154] recall 0.7884615384615384 [0.769231,0.807692] recall 0.8307692307692308 [0.8,0.861538] recall 0.7692307692307693 [0.761538,0.776923] recall 0.7961538461538461 [0.815385,0.776923] recall 0.7153846153846154 [0.730769,0.7] recall 0.7615384615384615 [0.8,0.723077] recall 0.7692307692307693 [0.784615,0.753846] relative_absolute_error 0.4652147251084501 relative_absolute_error 0.44335327171835887 relative_absolute_error 0.476622206548975 relative_absolute_error 0.4348102194833562 relative_absolute_error 0.42112325609348716 relative_absolute_error 0.4575760545717679 relative_absolute_error 0.4698782051348138 relative_absolute_error 0.6178975298866938 relative_absolute_error 0.4959267316394016 relative_absolute_error 0.4678741804753951 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 0.4088011462546713 root_mean_squared_error 0.4013932809329738 root_mean_squared_error 0.40621874871213215 root_mean_squared_error 0.38344004932862114 root_mean_squared_error 0.37174667097212394 root_mean_squared_error 0.41642308005775097 root_mean_squared_error 0.3967226052887284 root_mean_squared_error 0.4787031698488221 root_mean_squared_error 0.42357999199444707 root_mean_squared_error 0.40488143278280514 root_relative_squared_error 0.8176022925093426 root_relative_squared_error 0.8027865618659475 root_relative_squared_error 0.8124374974242643 root_relative_squared_error 0.7668800986572423 root_relative_squared_error 0.7434933419442479 root_relative_squared_error 0.8328461601155019 root_relative_squared_error 0.7934452105774568 root_relative_squared_error 0.9574063396976442 root_relative_squared_error 0.8471599839888941 root_relative_squared_error 0.8097628655656102 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 670.1505750006618 usercpu_time_millis 585.8177680001972 usercpu_time_millis 582.1833280006103 usercpu_time_millis 561.1535089992685 usercpu_time_millis 564.6710339997298 usercpu_time_millis 556.8264109997472 usercpu_time_millis 579.8677330003557 usercpu_time_millis 583.0162520005615 usercpu_time_millis 591.4874069994767 usercpu_time_millis 579.5564459995148 usercpu_time_millis_testing 4.774442000780255 usercpu_time_millis_testing 4.741941999782284 usercpu_time_millis_testing 4.725225000584032 usercpu_time_millis_testing 5.300412999531545 usercpu_time_millis_testing 4.840849999709462 usercpu_time_millis_testing 4.800855999747 usercpu_time_millis_testing 4.7956560001694015 usercpu_time_millis_testing 4.902351000055205 usercpu_time_millis_testing 4.806652999832295 usercpu_time_millis_testing 4.749384999740869 usercpu_time_millis_training 665.3761329998815 usercpu_time_millis_training 581.075826000415 usercpu_time_millis_training 577.4581030000263 usercpu_time_millis_training 555.853095999737 usercpu_time_millis_training 559.8301840000204 usercpu_time_millis_training 552.0255550000002 usercpu_time_millis_training 575.0720770001863 usercpu_time_millis_training 578.1139010005063 usercpu_time_millis_training 586.6807539996444 usercpu_time_millis_training 574.807060999774