10586466 28997 Marc Boel 9977 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302748 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "mean" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.07653608700202627 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1491 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 190 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 7 19040 random_state 13139 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.15534545925368093 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22099202 description https://api.openml.org/data/download/22099202/description.xml -1 22099203 predictions https://api.openml.org/data/download/22099203/predictions.arff area_under_roc_curve 0.989663091326765 [0.989663,0.989663] average_cost 0 f_measure 0.9540364370932982 [0.918938,0.968069] kappa 0.887012869546073 kb_relative_information_score 0.8178264998037438 mean_absolute_error 0.07891590326059143 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9541854054838241 [0.909183,0.972178] number_of_instances 34465 [9844,24621] precision 0.9539726145979482 [0.928905,0.963995] predictive_accuracy 0.9541854054838242 prior_entropy 0.8629999933345911 relative_absolute_error 0.19337847568729657 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.18474829637300264 root_relative_squared_error 0.40899695849239576 total_cost 0 unweighted_recall 0.9406807403405064 [0.909183,0.972178] area_under_roc_curve 0.9898427623131286 [0.989843,0.989843] area_under_roc_curve 0.9904536776258005 [0.990454,0.990454] area_under_roc_curve 0.9876319034089737 [0.987632,0.987632] area_under_roc_curve 0.9905417163215907 [0.990542,0.990542] area_under_roc_curve 0.9896675147521514 [0.989668,0.989668] area_under_roc_curve 0.990108593713882 [0.990109,0.990109] area_under_roc_curve 0.9893831358601969 [0.989383,0.989383] area_under_roc_curve 0.9915151357545257 [0.991515,0.991515] area_under_roc_curve 0.9881805062973457 [0.988181,0.988181] area_under_roc_curve 0.9897009751474443 [0.989701,0.989701] 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 0.9546310371563832 [0.920082,0.968434] f_measure 0.9546312566614471 [0.920164,0.968421] f_measure 0.9488625978197309 [0.910204,0.964329] f_measure 0.9595434583843669 [0.928681,0.971891] f_measure 0.954347579574834 [0.919693,0.968212] f_measure 0.949420051607356 [0.909943,0.965198] f_measure 0.9564446103112425 [0.923625,0.969562] f_measure 0.9566200917783776 [0.923472,0.969869] f_measure 0.9540648275595335 [0.919223,0.96799] f_measure 0.9517590087584611 [0.914107,0.966807] kappa 0.8885187580853817 kappa 0.8885877740179857 kappa 0.8745345237282773 kappa 0.9005767231921658 kappa 0.88790789532279 kappa 0.8751697639114275 kappa 0.8931871194700725 kappa 0.8933454475509629 kappa 0.8872148615840977 kappa 0.8809422603779511 kb_relative_information_score 0.8179432876921414 kb_relative_information_score 0.8218037067166893 kb_relative_information_score 0.8063225823747614 kb_relative_information_score 0.822862488929715 kb_relative_information_score 0.8168003297635409 kb_relative_information_score 0.8117213345543988 kb_relative_information_score 0.8193362810920968 kb_relative_information_score 0.8282087307757553 kb_relative_information_score 0.8191659107137198 kb_relative_information_score 0.8141024644329954 mean_absolute_error 0.07889486135203648 mean_absolute_error 0.07760309830133855 mean_absolute_error 0.08310211520562259 mean_absolute_error 0.07767838674847528 mean_absolute_error 0.07934078072351909 mean_absolute_error 0.08093237620705586 mean_absolute_error 0.07837206581712865 mean_absolute_error 0.07470978247221348 mean_absolute_error 0.07843190992599228 mean_absolute_error 0.08009306394132594 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9545686213321216 [0.927686,0.965309] precision 0.9545690327148345 [0.927761,0.965295] precision 0.9488032873632002 [0.914872,0.962379] precision 0.9594985004863595 [0.938797,0.967781] precision 0.9542857131231344 [0.926804,0.965281] precision 0.9494777993401837 [0.932764,0.956158] precision 0.9564210503301148 [0.92551,0.968775] precision 0.956565075395275 [0.933541,0.965767] precision 0.9540078506166995 [0.924897,0.965643] precision 0.9518358115544666 [0.937033,0.957752] predictive_accuracy 0.9547432550043515 predictive_accuracy 0.9547432550043515 predictive_accuracy 0.9489411082100377 predictive_accuracy 0.9596750797795184 predictive_accuracy 0.954453147664636 predictive_accuracy 0.9497968659315148 predictive_accuracy 0.9564712710388856 predictive_accuracy 0.956761462565293 predictive_accuracy 0.9541497388276262 predictive_accuracy 0.9521183981427742 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.19335890263909974 relative_absolute_error 0.19013503570777077 relative_absolute_error 0.20360815467260526 relative_absolute_error 0.1903194996260687 relative_absolute_error 0.19439252434704024 relative_absolute_error 0.198335267431261 relative_absolute_error 0.1920608952987277 relative_absolute_error 0.18308599575093118 relative_absolute_error 0.19220755103641773 relative_absolute_error 0.19627842404566706 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.18362249842788894 root_mean_squared_error 0.1820484539461671 root_mean_squared_error 0.1939467208897824 root_mean_squared_error 0.17957073394567752 root_mean_squared_error 0.18561157600765812 root_mean_squared_error 0.18784743671660903 root_mean_squared_error 0.1821025694048424 root_mean_squared_error 0.17806235507698553 root_mean_squared_error 0.18389407665944088 root_mean_squared_error 0.19020106443475016 root_relative_squared_error 0.4065719285335023 root_relative_squared_error 0.4029638836856366 root_relative_squared_error 0.4293006734402227 root_relative_squared_error 0.39747945548841557 root_relative_squared_error 0.41085084714410675 root_relative_squared_error 0.4158904661891603 root_relative_squared_error 0.40317144491185664 root_relative_squared_error 0.3942264912319646 root_relative_squared_error 0.40713780612667727 root_relative_squared_error 0.42110135086261025 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 unweighted_recall 0.9420905003812523 [0.912602,0.971579] unweighted_recall 0.9421290931808154 [0.91269,0.971568] unweighted_recall 0.9359356637128 [0.905584,0.966288] unweighted_recall 0.9474087345932283 [0.918782,0.976036] unweighted_recall 0.9419260062596131 [0.91269,0.971162] unweighted_recall 0.9313112150211673 [0.888211,0.974411] unweighted_recall 0.9460486384920714 [0.921748,0.970349] unweighted_recall 0.9438113801324852 [0.913618,0.974005] unweighted_recall 0.9419835978416649 [0.913618,0.970349] unweighted_recall 0.9341560830311797 [0.892276,0.976036] usercpu_time_millis 37321.87091599917 usercpu_time_millis 37208.96071900279 usercpu_time_millis 37269.26454199929 usercpu_time_millis 37284.78081499998 usercpu_time_millis 37874.946812004055 usercpu_time_millis 37974.85454500202 usercpu_time_millis 37142.059215999325 usercpu_time_millis 37167.10372200032 usercpu_time_millis 37030.54709299977 usercpu_time_millis 37113.492611002584 usercpu_time_millis_testing 79.66249899982358 usercpu_time_millis_testing 78.60410000284901 usercpu_time_millis_testing 79.32499899834511 usercpu_time_millis_testing 82.91957300025388 usercpu_time_millis_testing 77.43837300222367 usercpu_time_millis_testing 79.11305200104835 usercpu_time_millis_testing 77.59355000234791 usercpu_time_millis_testing 84.71119699970586 usercpu_time_millis_testing 78.07493099971907 usercpu_time_millis_testing 49.90700700000161 usercpu_time_millis_training 37242.20841699935 usercpu_time_millis_training 37130.35661899994 usercpu_time_millis_training 37189.939543000946 usercpu_time_millis_training 37201.86124199972 usercpu_time_millis_training 37797.50843900183 usercpu_time_millis_training 37895.74149300097 usercpu_time_millis_training 37064.46566599698 usercpu_time_millis_training 37082.392525000614 usercpu_time_millis_training 36952.47216200005 usercpu_time_millis_training 37063.58560400258 wall_clock_time_millis 38012.63093948364 wall_clock_time_millis 37893.33629608154 wall_clock_time_millis 37978.216886520386 wall_clock_time_millis 37928.69758605957 wall_clock_time_millis 38561.76209449768 wall_clock_time_millis 38647.39942550659 wall_clock_time_millis 37869.08483505249 wall_clock_time_millis 37838.45043182373 wall_clock_time_millis 37759.981870651245 wall_clock_time_millis 37749.60780143738 wall_clock_time_millis_testing 79.90622520446777 wall_clock_time_millis_testing 78.83834838867188 wall_clock_time_millis_testing 79.68497276306152 wall_clock_time_millis_testing 84.90753173828125 wall_clock_time_millis_testing 77.80957221984863 wall_clock_time_millis_testing 81.59399032592773 wall_clock_time_millis_testing 77.87942886352539 wall_clock_time_millis_testing 87.98050880432129 wall_clock_time_millis_testing 78.2463550567627 wall_clock_time_millis_testing 51.06520652770996 wall_clock_time_millis_training 37932.724714279175 wall_clock_time_millis_training 37814.49794769287 wall_clock_time_millis_training 37898.531913757324 wall_clock_time_millis_training 37843.79005432129 wall_clock_time_millis_training 38483.95252227783 wall_clock_time_millis_training 38565.805435180664 wall_clock_time_millis_training 37791.205406188965 wall_clock_time_millis_training 37750.46992301941 wall_clock_time_millis_training 37681.73551559448 wall_clock_time_millis_training 37698.54259490967 weighted_recall 0.9547432550043516 [0.912602,0.971579] weighted_recall 0.9547432550043516 [0.91269,0.971568] weighted_recall 0.9489411082100377 [0.905584,0.966288] weighted_recall 0.9596750797795184 [0.918782,0.976036] weighted_recall 0.954453147664636 [0.91269,0.971162] weighted_recall 0.9497968659315148 [0.888211,0.974411] weighted_recall 0.9564712710388856 [0.921748,0.970349] weighted_recall 0.956761462565293 [0.913618,0.974005] weighted_recall 0.9541497388276262 [0.913618,0.970349] weighted_recall 0.9521183981427742 [0.892276,0.976036]