10586285 28997 Marc Boel 9983 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) 8302567 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 0.8338931524841572 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1830 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 50 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 5 19040 random_state 18698 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3772883957379279 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22098838 description https://api.openml.org/data/download/22098838/description.xml -1 22098839 predictions https://api.openml.org/data/download/22098839/predictions.arff area_under_roc_curve 0.9518046799085693 [0.951805,0.951805] average_cost 0 f_measure 0.8795849533460506 [0.891759,0.864633] kappa 0.7564119193345243 kb_relative_information_score 0.6782696427356849 mean_absolute_error 0.16847954814004248 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8797062750333778 [0.898995,0.856017] number_of_instances 14980 [8257,6723] precision 0.8796059727507897 [0.884638,0.873425] predictive_accuracy 0.8797062750333778 prior_entropy 0.9924223735239917 relative_absolute_error 0.3405295542329256 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2926398867046084 root_relative_squared_error 0.5883728649706683 total_cost 0 unweighted_recall 0.8775057257634776 [0.898995,0.856017] area_under_roc_curve 0.9571424968292401 [0.957142,0.957142] area_under_roc_curve 0.952036852876744 [0.952037,0.952037] area_under_roc_curve 0.9617833362158423 [0.961783,0.961783] area_under_roc_curve 0.9510910296321918 [0.951091,0.951091] area_under_roc_curve 0.9541068546062492 [0.954107,0.954107] area_under_roc_curve 0.9589278508013374 [0.958928,0.958928] area_under_roc_curve 0.9597268462469732 [0.959727,0.959727] area_under_roc_curve 0.9479652393173938 [0.947965,0.947965] area_under_roc_curve 0.9300535818812193 [0.930054,0.930054] area_under_roc_curve 0.9439758656400559 [0.943976,0.943976] 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 0.8850197098086147 [0.897006,0.870287] f_measure 0.8784148025181039 [0.890493,0.863568] f_measure 0.8951862738214922 [0.905021,0.883098] f_measure 0.8769546504886888 [0.890084,0.860817] f_measure 0.8888648769233021 [0.901542,0.873282] f_measure 0.8843611000322175 [0.896345,0.869631] f_measure 0.8924687559937724 [0.902954,0.879581] f_measure 0.8717743493596047 [0.884058,0.856716] f_measure 0.8551693309653147 [0.868245,0.83914] f_measure 0.8675952045882558 [0.881579,0.850453] kappa 0.7673266074995574 kappa 0.7540726896168515 kappa 0.788118811881188 kappa 0.7509550433880638 kappa 0.7749423481412028 kappa 0.7660063962381017 kappa 0.7825395422815234 kappa 0.740778594333858 kappa 0.7073865835633258 kappa 0.7320906941160106 kb_relative_information_score 0.6902022429690328 kb_relative_information_score 0.6841292125439538 kb_relative_information_score 0.7004619937733975 kb_relative_information_score 0.6805165227606135 kb_relative_information_score 0.6942419368425833 kb_relative_information_score 0.7053344839473364 kb_relative_information_score 0.6966604115634248 kb_relative_information_score 0.6720604254567725 kb_relative_information_score 0.610007220198927 kb_relative_information_score 0.6491026465184614 mean_absolute_error 0.16281830917979337 mean_absolute_error 0.16478563128996304 mean_absolute_error 0.1582418467580179 mean_absolute_error 0.16664737791042913 mean_absolute_error 0.1607336782714148 mean_absolute_error 0.15346261881864545 mean_absolute_error 0.15969855277864461 mean_absolute_error 0.17063769507028376 mean_absolute_error 0.20406068907801206 mean_absolute_error 0.18370908224521446 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] precision 0.885118024229416 [0.887441,0.882263] precision 0.8784040265041805 [0.885167,0.870091] precision 0.8951797607384882 [0.904474,0.883756] precision 0.8771232519023914 [0.878538,0.875385] precision 0.8894768003957162 [0.883721,0.896552] precision 0.8844401532083015 [0.887307,0.880916] precision 0.8924535087030385 [0.89916,0.884211] precision 0.8717478102369144 [0.880866,0.86057] precision 0.8552053769903659 [0.86983,0.837278] precision 0.8677458321284498 [0.87013,0.864823] predictive_accuracy 0.8851802403204272 predictive_accuracy 0.8785046728971964 predictive_accuracy 0.8951935914552738 predictive_accuracy 0.87716955941255 predictive_accuracy 0.8891855807743658 predictive_accuracy 0.8845126835781042 predictive_accuracy 0.8925233644859812 predictive_accuracy 0.8718291054739653 predictive_accuracy 0.8551401869158879 predictive_accuracy 0.8678237650200268 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 relative_absolute_error 0.32910074160899816 relative_absolute_error 0.333077242585468 relative_absolute_error 0.31985044792557166 relative_absolute_error 0.336840346357826 relative_absolute_error 0.3248871271734689 relative_absolute_error 0.31019030916667395 relative_absolute_error 0.3227948528522016 relative_absolute_error 0.34485823449464204 relative_absolute_error 0.41240599819528667 relative_absolute_error 0.37127546605467815 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_squared_error 0.28437611966829 root_mean_squared_error 0.2931144410341866 root_mean_squared_error 0.27478131625398944 root_mean_squared_error 0.2948659245788058 root_mean_squared_error 0.2869080487123208 root_mean_squared_error 0.28363154401258944 root_mean_squared_error 0.27990884168025437 root_mean_squared_error 0.3005254612472723 root_mean_squared_error 0.32183265482671547 root_mean_squared_error 0.30354677281786085 root_relative_squared_error 0.571781684087329 root_relative_squared_error 0.5893514157248402 root_relative_squared_error 0.55248986429207 root_relative_squared_error 0.5928730412817321 root_relative_squared_error 0.5768725146903845 root_relative_squared_error 0.5702846008482598 root_relative_squared_error 0.5627995384195958 root_relative_squared_error 0.6041689380795483 root_relative_squared_error 0.6470043919040598 root_relative_squared_error 0.6102429079709314 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 0.8827053066989508 [0.90678,0.858631] unweighted_recall 0.8765133171912833 [0.895884,0.857143] unweighted_recall 0.8940047417271993 [0.905569,0.88244] unweighted_recall 0.8743316182405165 [0.901937,0.846726] unweighted_recall 0.8856436642453591 [0.920097,0.85119] unweighted_recall 0.8820999798224374 [0.905569,0.858631] unweighted_recall 0.8908898305084746 [0.90678,0.875] unweighted_recall 0.8700851006348778 [0.887273,0.852897] unweighted_recall 0.853838533927687 [0.866667,0.84101] unweighted_recall 0.8649430411094601 [0.893333,0.836553] usercpu_time_millis 3049.1231649994006 usercpu_time_millis 3047.9967100000067 usercpu_time_millis 3035.5707130001974 usercpu_time_millis 3044.127369999842 usercpu_time_millis 3032.2395730008793 usercpu_time_millis 3037.5384899998608 usercpu_time_millis 3040.780686999824 usercpu_time_millis 3048.0721739995715 usercpu_time_millis 1722.9808259990023 usercpu_time_millis 1960.8145660004084 usercpu_time_millis_testing 10.451224999997066 usercpu_time_millis_testing 11.113266999927873 usercpu_time_millis_testing 10.343625000132306 usercpu_time_millis_testing 10.476797000592342 usercpu_time_millis_testing 10.166350000872626 usercpu_time_millis_testing 10.521016999518906 usercpu_time_millis_testing 10.196322000410873 usercpu_time_millis_testing 10.521942999730527 usercpu_time_millis_testing 8.551592999538116 usercpu_time_millis_testing 5.931185000008554 usercpu_time_millis_training 3038.6719399994035 usercpu_time_millis_training 3036.883443000079 usercpu_time_millis_training 3025.227088000065 usercpu_time_millis_training 3033.6505729992496 usercpu_time_millis_training 3022.0732230000067 usercpu_time_millis_training 3027.017473000342 usercpu_time_millis_training 3030.584364999413 usercpu_time_millis_training 3037.550230999841 usercpu_time_millis_training 1714.4292329994641 usercpu_time_millis_training 1954.8833810003998 wall_clock_time_millis 3128.8421154022217 wall_clock_time_millis 3089.6315574645996 wall_clock_time_millis 3086.9128704071045 wall_clock_time_millis 3103.6128997802734 wall_clock_time_millis 3097.8024005889893 wall_clock_time_millis 3095.121145248413 wall_clock_time_millis 3101.376533508301 wall_clock_time_millis 3097.6603031158447 wall_clock_time_millis 1766.6234970092773 wall_clock_time_millis 1998.9118576049805 wall_clock_time_millis_testing 17.94719696044922 wall_clock_time_millis_testing 11.204004287719727 wall_clock_time_millis_testing 10.352849960327148 wall_clock_time_millis_testing 10.486364364624023 wall_clock_time_millis_testing 10.253190994262695 wall_clock_time_millis_testing 10.532855987548828 wall_clock_time_millis_testing 10.280609130859375 wall_clock_time_millis_testing 10.533332824707031 wall_clock_time_millis_testing 8.654594421386719 wall_clock_time_millis_testing 5.934476852416992 wall_clock_time_millis_training 3110.8949184417725 wall_clock_time_millis_training 3078.42755317688 wall_clock_time_millis_training 3076.5600204467773 wall_clock_time_millis_training 3093.1265354156494 wall_clock_time_millis_training 3087.5492095947266 wall_clock_time_millis_training 3084.5882892608643 wall_clock_time_millis_training 3091.0959243774414 wall_clock_time_millis_training 3087.1269702911377 wall_clock_time_millis_training 1757.9689025878906 wall_clock_time_millis_training 1992.9773807525635 weighted_recall 0.8851802403204272 [0.90678,0.858631] weighted_recall 0.8785046728971962 [0.895884,0.857143] weighted_recall 0.8951935914552737 [0.905569,0.88244] weighted_recall 0.87716955941255 [0.901937,0.846726] weighted_recall 0.8891855807743658 [0.920097,0.85119] weighted_recall 0.8845126835781041 [0.905569,0.858631] weighted_recall 0.8925233644859814 [0.90678,0.875] weighted_recall 0.8718291054739653 [0.887273,0.852897] weighted_recall 0.8551401869158879 [0.866667,0.84101] weighted_recall 0.8678237650200267 [0.893333,0.836553]