10583992 28997 Marc Boel 9952 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) 8300274 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 "most_frequent" 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 0.0600137897335993 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1220 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 36 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 6 19040 random_state 60856 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3635586618440081 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22094252 description https://api.openml.org/data/download/22094252/description.xml -1 22094253 predictions https://api.openml.org/data/download/22094253/predictions.arff area_under_roc_curve 0.9183155947436877 [0.918316,0.918316] average_cost 0 f_measure 0.8503995599851136 [0.897818,0.736249] kappa 0.634435650713081 kb_relative_information_score 0.45633822580559147 mean_absolute_error 0.22947590755613023 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8527017024426351 [0.915925,0.700504] number_of_instances 5404 [3818,1586] precision 0.8497215886720318 [0.880413,0.775838] predictive_accuracy 0.8527017024426351 prior_entropy 0.8731822780289229 relative_absolute_error 0.5533063172775519 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.32419222169275747 root_relative_squared_error 0.7119481590705129 total_cost 0 unweighted_recall 0.8082144907278657 [0.915925,0.700504] area_under_roc_curve 0.915505943560868 [0.915506,0.915506] area_under_roc_curve 0.9316161217030524 [0.931616,0.931616] area_under_roc_curve 0.9114639928874839 [0.911464,0.911464] area_under_roc_curve 0.9148638414172346 [0.914864,0.914864] area_under_roc_curve 0.9114503943269932 [0.91145,0.91145] area_under_roc_curve 0.9216233680164359 [0.921623,0.921623] area_under_roc_curve 0.9345384054609318 [0.934538,0.934538] area_under_roc_curve 0.9109699118563191 [0.91097,0.91097] area_under_roc_curve 0.9114792254741744 [0.911479,0.911479] area_under_roc_curve 0.9231334290760824 [0.923133,0.923133] 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 0.8636048926553651 [0.905806,0.762215] f_measure 0.8740058535375163 [0.914213,0.777409] f_measure 0.840374403795962 [0.893671,0.712329] f_measure 0.8154058751012416 [0.871928,0.679612] f_measure 0.857569683085147 [0.902062,0.75] f_measure 0.8604014131022835 [0.905371,0.751678] f_measure 0.878220029239766 [0.913158,0.79375] f_measure 0.8255239680982255 [0.880309,0.693069] f_measure 0.8419233104638032 [0.892031,0.721854] f_measure 0.845737274628652 [0.899749,0.716312] kappa 0.6681901817295816 kappa 0.6919998300548073 kappa 0.6071508843513893 kappa 0.5516912337091632 kappa 0.6522741137395784 kappa 0.6575248543023654 kappa 0.7069271758436945 kappa 0.5736842105263157 kappa 0.6143053925820111 kappa 0.6182599013838079 kb_relative_information_score 0.45778526067185643 kb_relative_information_score 0.45872344650481134 kb_relative_information_score 0.4541327078377951 kb_relative_information_score 0.4417791734978382 kb_relative_information_score 0.44576105379089603 kb_relative_information_score 0.44592973249567586 kb_relative_information_score 0.4935311754690751 kb_relative_information_score 0.43991571792168954 kb_relative_information_score 0.44913883275375616 kb_relative_information_score 0.47669831151454206 mean_absolute_error 0.2302674374034173 mean_absolute_error 0.23080627096346704 mean_absolute_error 0.22924541178046867 mean_absolute_error 0.2334314733175044 mean_absolute_error 0.23341312960296914 mean_absolute_error 0.23369583140765415 mean_absolute_error 0.21731523226282443 mean_absolute_error 0.23179485467081415 mean_absolute_error 0.23176530727090908 mean_absolute_error 0.22301329917154963 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.8629787771996856 [0.89313,0.790541] precision 0.8739307133784319 [0.894737,0.823944] precision 0.8407314769472337 [0.865196,0.781955] precision 0.8143123230164845 [0.861893,0.7] precision 0.8568703046972986 [0.888325,0.780822] precision 0.8601296296296297 [0.885,0.8] precision 0.8787706577830035 [0.917989,0.783951] precision 0.8243668461128085 [0.865823,0.724138] precision 0.8411313287887594 [0.874055,0.762238] precision 0.8492003145451119 [0.860911,0.821138] predictive_accuracy 0.8650646950092421 predictive_accuracy 0.8761552680221811 predictive_accuracy 0.844731977818854 predictive_accuracy 0.8170055452865064 predictive_accuracy 0.8592592592592593 predictive_accuracy 0.8629629629629629 predictive_accuracy 0.8777777777777778 predictive_accuracy 0.8277777777777777 predictive_accuracy 0.8444444444444444 predictive_accuracy 0.8518518518518519 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 relative_absolute_error 0.5549861673751024 relative_absolute_error 0.55628485370139 relative_absolute_error 0.5525229007932727 relative_absolute_error 0.5626120661352471 relative_absolute_error 0.5633008148419623 relative_absolute_error 0.5639830650530246 relative_absolute_error 0.5244514206182089 relative_absolute_error 0.5593953979124527 relative_absolute_error 0.5582939359711857 relative_absolute_error 0.5372114318337927 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.32466963630852 root_mean_squared_error 0.31641965667914157 root_mean_squared_error 0.3309601571549707 root_mean_squared_error 0.32937939834628543 root_mean_squared_error 0.3270931649584619 root_mean_squared_error 0.3215949503483411 root_mean_squared_error 0.30680413204863144 root_mean_squared_error 0.33176948261926825 root_mean_squared_error 0.3307703046168763 root_mean_squared_error 0.32159124394110605 root_relative_squared_error 0.712702983506652 root_relative_squared_error 0.6945929281205678 root_relative_squared_error 0.7265117062010524 root_relative_squared_error 0.7230416819266426 root_relative_squared_error 0.718958821196031 root_relative_squared_error 0.7068736102584158 root_relative_squared_error 0.6743630278662878 root_relative_squared_error 0.7292374824250986 root_relative_squared_error 0.725702151098969 root_relative_squared_error 0.7055635111288845 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 0.8273486120715203 [0.918848,0.735849] unweighted_recall 0.8352020152128815 [0.934555,0.735849] unweighted_recall 0.7890859099739866 [0.924084,0.654088] unweighted_recall 0.7712881556850736 [0.882199,0.660377] unweighted_recall 0.8188746769169594 [0.91623,0.721519] unweighted_recall 0.8177811650871496 [0.926702,0.708861] unweighted_recall 0.8560872158526078 [0.908377,0.803797] unweighted_recall 0.7799224600702499 [0.895288,0.664557] unweighted_recall 0.7981478730253058 [0.910761,0.685535] unweighted_recall 0.7887386718169662 [0.942257,0.63522] usercpu_time_millis 878.650916999959 usercpu_time_millis 877.0853409999972 usercpu_time_millis 881.5251199999921 usercpu_time_millis 880.2693240000394 usercpu_time_millis 876.7887249999831 usercpu_time_millis 876.2713999999505 usercpu_time_millis 877.883751000013 usercpu_time_millis 878.7466130000325 usercpu_time_millis 874.867877999975 usercpu_time_millis 874.2327259999456 usercpu_time_millis_testing 7.468790999951125 usercpu_time_millis_testing 7.362489000001915 usercpu_time_millis_testing 6.89329300001873 usercpu_time_millis_testing 6.905531000029441 usercpu_time_millis_testing 7.015088999992258 usercpu_time_millis_testing 6.8194099999914215 usercpu_time_millis_testing 6.604115000016009 usercpu_time_millis_testing 7.318469000040295 usercpu_time_millis_testing 6.7811679999749686 usercpu_time_millis_testing 4.754087999970125 usercpu_time_millis_training 871.1821260000079 usercpu_time_millis_training 869.7228519999953 usercpu_time_millis_training 874.6318269999733 usercpu_time_millis_training 873.36379300001 usercpu_time_millis_training 869.7736359999908 usercpu_time_millis_training 869.4519899999591 usercpu_time_millis_training 871.279635999997 usercpu_time_millis_training 871.4281439999922 usercpu_time_millis_training 868.08671 usercpu_time_millis_training 869.4786379999755 wall_clock_time_millis 895.1964378356934 wall_clock_time_millis 888.037919998169 wall_clock_time_millis 899.4166851043701 wall_clock_time_millis 892.1332359313965 wall_clock_time_millis 890.9957408905029 wall_clock_time_millis 891.3562297821045 wall_clock_time_millis 897.5117206573486 wall_clock_time_millis 903.6736488342285 wall_clock_time_millis 885.1370811462402 wall_clock_time_millis 894.0815925598145 wall_clock_time_millis_testing 7.474422454833984 wall_clock_time_millis_testing 7.368564605712891 wall_clock_time_millis_testing 6.897449493408203 wall_clock_time_millis_testing 6.995677947998047 wall_clock_time_millis_testing 7.020711898803711 wall_clock_time_millis_testing 6.824016571044922 wall_clock_time_millis_testing 6.6089630126953125 wall_clock_time_millis_testing 7.323980331420898 wall_clock_time_millis_testing 6.785869598388672 wall_clock_time_millis_testing 4.7588348388671875 wall_clock_time_millis_training 887.7220153808594 wall_clock_time_millis_training 880.669355392456 wall_clock_time_millis_training 892.5192356109619 wall_clock_time_millis_training 885.1375579833984 wall_clock_time_millis_training 883.9750289916992 wall_clock_time_millis_training 884.5322132110596 wall_clock_time_millis_training 890.9027576446533 wall_clock_time_millis_training 896.3496685028076 wall_clock_time_millis_training 878.3512115478516 wall_clock_time_millis_training 889.3227577209473 weighted_recall 0.8650646950092421 [0.918848,0.735849] weighted_recall 0.8761552680221811 [0.934555,0.735849] weighted_recall 0.844731977818854 [0.924084,0.654088] weighted_recall 0.8170055452865065 [0.882199,0.660377] weighted_recall 0.8592592592592593 [0.91623,0.721519] weighted_recall 0.8629629629629629 [0.926702,0.708861] weighted_recall 0.8777777777777778 [0.908377,0.803797] weighted_recall 0.8277777777777777 [0.895288,0.664557] weighted_recall 0.8444444444444444 [0.910761,0.685535] weighted_recall 0.8518518518518519 [0.942257,0.63522]