10152953 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) 8078617 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 20 8783 min_samples_split 2 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 13136 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 21226445 description https://api.openml.org/data/download/21226445/description.xml -1 21226446 predictions https://api.openml.org/data/download/21226446/predictions.arff area_under_roc_curve 0.8301221893491124 [0.830122,0.830122] average_cost 0 f_measure 0.761030791151479 [0.766454,0.755608] kappa 0.5223076923076924 kb_relative_information_score 1227.0433740002147 mean_absolute_error 0.26883610856252216 mean_prior_absolute_error 0.5 number_of_instances 2600 [1300,1300] precision 0.7616928715300568 [0.749816,0.77357] predictive_accuracy 0.7611538461538462 prior_entropy 1 recall 0.7611538461538462 [0.783846,0.738462] relative_absolute_error 0.5376722171250443 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.4230846002844426 root_relative_squared_error 0.8461692005688852 total_cost 0 area_under_roc_curve 0.85198224852071 [0.851982,0.851982] area_under_roc_curve 0.8127218934911242 [0.812722,0.812722] area_under_roc_curve 0.8249408284023668 [0.824941,0.824941] area_under_roc_curve 0.8513313609467456 [0.851331,0.851331] area_under_roc_curve 0.8328994082840236 [0.832899,0.832899] area_under_roc_curve 0.8190236686390533 [0.819024,0.819024] area_under_roc_curve 0.8687573964497042 [0.868757,0.868757] area_under_roc_curve 0.7832248520710059 [0.783225,0.783225] area_under_roc_curve 0.8000295857988166 [0.80003,0.80003] area_under_roc_curve 0.8525443786982249 [0.852544,0.852544] 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 0.7574016202846605 [0.765799,0.749004] f_measure 0.7842962962962964 [0.792593,0.776] f_measure 0.7419985485567026 [0.733068,0.750929] f_measure 0.7807659876625392 [0.779923,0.781609] f_measure 0.7537149961517968 [0.759398,0.748031] f_measure 0.738322183411284 [0.744361,0.732283] f_measure 0.8230664536363098 [0.824427,0.821705] f_measure 0.7111924051007864 [0.72119,0.701195] f_measure 0.7529104300308862 [0.768116,0.737705] f_measure 0.764963914699388 [0.774908,0.75502] kappa 0.5153846153846153 kappa 0.5692307692307692 kappa 0.48461538461538467 kappa 0.5615384615384615 kappa 0.5076923076923077 kappa 0.476923076923077 kappa 0.6461538461538461 kappa 0.42307692307692313 kappa 0.5076923076923077 kappa 0.5307692307692307 kb_relative_information_score 129.5374693162589 kb_relative_information_score 123.376020330249 kb_relative_information_score 118.85641736173733 kb_relative_information_score 140.25437585373845 kb_relative_information_score 120.5872174192837 kb_relative_information_score 116.49661939235449 kb_relative_information_score 138.6244726071934 kb_relative_information_score 97.02252150574033 kb_relative_information_score 111.89367756524288 kb_relative_information_score 130.3945826484144 mean_absolute_error 0.2525699476929085 mean_absolute_error 0.2696284169466555 mean_absolute_error 0.2747108920891321 mean_absolute_error 0.23604635191209053 mean_absolute_error 0.2741502227476005 mean_absolute_error 0.27839218143917704 mean_absolute_error 0.23957368586394798 mean_absolute_error 0.3191781333242295 mean_absolute_error 0.29104824042725447 mean_absolute_error 0.25306301318222285 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 0.7589333491884178 [0.741007,0.77686] precision 0.7863095238095238 [0.764286,0.808333] precision 0.743474641774184 [0.760331,0.726619] precision 0.7807858453162909 [0.782946,0.778626] precision 0.7543880455407969 [0.742647,0.766129] precision 0.738970588235294 [0.727941,0.75] precision 0.8231534090909092 [0.818182,0.828125] precision 0.7125572269457161 [0.697842,0.727273] precision 0.7577505407354002 [0.726027,0.789474] precision 0.7672984087251922 [0.744681,0.789916] predictive_accuracy 0.7576923076923078 predictive_accuracy 0.7846153846153847 predictive_accuracy 0.7423076923076922 predictive_accuracy 0.7807692307692308 predictive_accuracy 0.7538461538461538 predictive_accuracy 0.7384615384615384 predictive_accuracy 0.823076923076923 predictive_accuracy 0.7115384615384616 predictive_accuracy 0.7538461538461538 predictive_accuracy 0.7653846153846153 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 0.7576923076923077 [0.792308,0.723077] recall 0.7846153846153846 [0.823077,0.746154] recall 0.7423076923076923 [0.707692,0.776923] recall 0.7807692307692308 [0.776923,0.784615] recall 0.7538461538461538 [0.776923,0.730769] recall 0.7384615384615385 [0.761538,0.715385] recall 0.823076923076923 [0.830769,0.815385] recall 0.7115384615384616 [0.746154,0.676923] recall 0.7538461538461538 [0.815385,0.692308] recall 0.7653846153846153 [0.807692,0.723077] relative_absolute_error 0.505139895385817 relative_absolute_error 0.539256833893311 relative_absolute_error 0.5494217841782641 relative_absolute_error 0.47209270382418106 relative_absolute_error 0.548300445495201 relative_absolute_error 0.5567843628783541 relative_absolute_error 0.47914737172789595 relative_absolute_error 0.638356266648459 relative_absolute_error 0.5820964808545089 relative_absolute_error 0.5061260263644457 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 0.4090192073151053 root_mean_squared_error 0.42712112987645773 root_mean_squared_error 0.4364625279516979 root_mean_squared_error 0.392362962950767 root_mean_squared_error 0.4188261587528607 root_mean_squared_error 0.43664934758795615 root_mean_squared_error 0.388568895308529 root_mean_squared_error 0.4618957240123227 root_mean_squared_error 0.4440037039273249 root_mean_squared_error 0.41021658434215985 root_relative_squared_error 0.8180384146302105 root_relative_squared_error 0.8542422597529155 root_relative_squared_error 0.8729250559033958 root_relative_squared_error 0.784725925901534 root_relative_squared_error 0.8376523175057214 root_relative_squared_error 0.8732986951759123 root_relative_squared_error 0.7771377906170581 root_relative_squared_error 0.9237914480246454 root_relative_squared_error 0.8880074078546498 root_relative_squared_error 0.8204331686843197 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 1641.5584219994344 usercpu_time_millis 1658.4990140017908 usercpu_time_millis 1655.3537190011411 usercpu_time_millis 1676.9656029991893 usercpu_time_millis 1662.6268489999347 usercpu_time_millis 1661.4757100014685 usercpu_time_millis 1682.4861980021524 usercpu_time_millis 1698.5651309987588 usercpu_time_millis 1684.0590689989767 usercpu_time_millis 1647.0298419990286 usercpu_time_millis_testing 4.4845109987363685 usercpu_time_millis_testing 4.579884000122547 usercpu_time_millis_testing 4.616162001184421 usercpu_time_millis_testing 4.6014039999136 usercpu_time_millis_testing 4.6045580002100905 usercpu_time_millis_testing 4.601352000463521 usercpu_time_millis_testing 4.903646000457229 usercpu_time_millis_testing 4.635539999071625 usercpu_time_millis_testing 4.575151000608457 usercpu_time_millis_testing 4.635536999558099 usercpu_time_millis_training 1637.073911000698 usercpu_time_millis_training 1653.9191300016682 usercpu_time_millis_training 1650.7375569999567 usercpu_time_millis_training 1672.3641989992757 usercpu_time_millis_training 1658.0222909997246 usercpu_time_millis_training 1656.874358001005 usercpu_time_millis_training 1677.5825520016951 usercpu_time_millis_training 1693.9295909996872 usercpu_time_millis_training 1679.4839179983683 usercpu_time_millis_training 1642.3943049994705