10583995 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) 8300277 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 0.31159995715048144 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1572 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 142 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 7513 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.12154461084347996 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 22094258 description https://api.openml.org/data/download/22094258/description.xml -1 22094259 predictions https://api.openml.org/data/download/22094259/predictions.arff area_under_roc_curve 0.9281473996209632 [0.928147,0.928147] average_cost 0 f_measure 0.8652292454157157 [0.90595,0.767203] kappa 0.6732046408413013 kb_relative_information_score 0.5326215509554868 mean_absolute_error 0.19611583010366102 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8660251665433013 [0.913305,0.752207] number_of_instances 5404 [3818,1586] precision 0.8646954140714517 [0.898711,0.782808] predictive_accuracy 0.8660251665433013 prior_entropy 0.8731822780289229 relative_absolute_error 0.4728693694694047 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.31026551000160485 root_relative_squared_error 0.6813641533881722 total_cost 0 unweighted_recall 0.8327561025394412 [0.913305,0.752207] area_under_roc_curve 0.9270884783825613 [0.927088,0.927088] area_under_roc_curve 0.9411324047548486 [0.941132,0.941132] area_under_roc_curve 0.9133244426882676 [0.913324,0.913324] area_under_roc_curve 0.9276976522111363 [0.927698,0.927698] area_under_roc_curve 0.9135380078202664 [0.913538,0.913538] area_under_roc_curve 0.9361786732056466 [0.936179,0.936179] area_under_roc_curve 0.9404615945390682 [0.940462,0.940462] area_under_roc_curve 0.9299324010868845 [0.929932,0.929932] area_under_roc_curve 0.9200795655260073 [0.92008,0.92008] area_under_roc_curve 0.9328480166394296 [0.932848,0.932848] 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 0.8651877681683523 [0.904325,0.77116] f_measure 0.878003696857671 [0.913613,0.792453] f_measure 0.843214416442289 [0.891473,0.727273] f_measure 0.851850783891563 [0.895561,0.746835] f_measure 0.8624413877018043 [0.903646,0.762821] f_measure 0.8897752706754397 [0.923674,0.807818] f_measure 0.8888888888888888 [0.921466,0.810127] f_measure 0.8587235873694206 [0.901042,0.75641] f_measure 0.8477350051607477 [0.895753,0.732673] f_measure 0.8659403398533833 [0.909091,0.762542] kappa 0.6754862406428975 kappa 0.7060653956337055 kappa 0.618905455948208 kappa 0.642402710071883 kappa 0.666488615877679 kappa 0.7315832041517827 kappa 0.7315925508648683 kappa 0.657474794685184 kappa 0.6287809349220898 kappa 0.6721395587480758 kb_relative_information_score 0.5299556189294615 kb_relative_information_score 0.5431852732679296 kb_relative_information_score 0.4923824771123328 kb_relative_information_score 0.5228069213208425 kb_relative_information_score 0.5122100367266462 kb_relative_information_score 0.557144103849754 kb_relative_information_score 0.553795639699059 kb_relative_information_score 0.5406980311494519 kb_relative_information_score 0.5117904532221688 kb_relative_information_score 0.5623812292657285 mean_absolute_error 0.19796405932207334 mean_absolute_error 0.1943652661936161 mean_absolute_error 0.21108741032791348 mean_absolute_error 0.19848749402429347 mean_absolute_error 0.20408124350954346 mean_absolute_error 0.18740189693612047 mean_absolute_error 0.19086793266381197 mean_absolute_error 0.18984118808952538 mean_absolute_error 0.20273019818389781 mean_absolute_error 0.18429931380534614 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 0.865317489484332 [0.905512,0.76875] precision 0.878003696857671 [0.913613,0.792453] precision 0.8423581480874799 [0.880102,0.751678] precision 0.8516020820333501 [0.893229,0.751592] precision 0.8620278780900542 [0.898964,0.772727] precision 0.8893935955214041 [0.913043,0.832215] precision 0.8888888888888888 [0.921466,0.810127] precision 0.8582952645128811 [0.896373,0.766234] precision 0.8470012626262626 [0.878788,0.770833] precision 0.8659424603174604 [0.8875,0.814286] predictive_accuracy 0.8650646950092421 predictive_accuracy 0.878003696857671 predictive_accuracy 0.844731977818854 predictive_accuracy 0.8521256931608133 predictive_accuracy 0.8629629629629629 predictive_accuracy 0.8907407407407407 predictive_accuracy 0.8888888888888888 predictive_accuracy 0.8592592592592593 predictive_accuracy 0.85 predictive_accuracy 0.8685185185185185 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 0.47712918422196515 relative_absolute_error 0.4684554419505419 relative_absolute_error 0.5087588334679828 relative_absolute_error 0.47839075651604224 relative_absolute_error 0.4925135572211804 relative_absolute_error 0.4522609393336512 relative_absolute_error 0.46062559625334115 relative_absolute_error 0.4581477319776084 relative_absolute_error 0.48835195231358697 relative_absolute_error 0.44395423332666506 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 0.3090710046418983 root_mean_squared_error 0.2996655292939998 root_mean_squared_error 0.3277159677854984 root_mean_squared_error 0.3155682121820066 root_mean_squared_error 0.3195566215552363 root_mean_squared_error 0.2973722272142826 root_mean_squared_error 0.2939823192659797 root_mean_squared_error 0.31319040978042645 root_mean_squared_error 0.32199142491635485 root_mean_squared_error 0.30263689368890073 root_relative_squared_error 0.6784614343004356 root_relative_squared_error 0.6578148767166655 root_relative_squared_error 0.7193901796272328 root_relative_squared_error 0.6927238681114521 root_relative_squared_error 0.7023933134399644 root_relative_squared_error 0.653631469069583 root_relative_squared_error 0.6461803680269048 root_relative_squared_error 0.6884002233866064 root_relative_squared_error 0.7064414986341514 root_relative_squared_error 0.6639781192157832 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 0.8383631334584609 [0.903141,0.773585] unweighted_recall 0.8530326978168528 [0.913613,0.792453] unweighted_recall 0.8037719384899075 [0.903141,0.704403] unweighted_recall 0.820022061971089 [0.897906,0.742138] unweighted_recall 0.8307707601564054 [0.908377,0.753165] unweighted_recall 0.8596825502021339 [0.934555,0.78481] unweighted_recall 0.8657962754324342 [0.921466,0.810127] unweighted_recall 0.8262973026708198 [0.905759,0.746835] unweighted_recall 0.8057495171594117 [0.913386,0.698113] unweighted_recall 0.8243698311295993 [0.931759,0.716981] usercpu_time_millis 651.0363690000531 usercpu_time_millis 789.2210100000625 usercpu_time_millis 442.44847400000253 usercpu_time_millis 729.2151770000146 usercpu_time_millis 668.0999449999945 usercpu_time_millis 921.1790230000361 usercpu_time_millis 512.1254459999705 usercpu_time_millis 688.2664830000067 usercpu_time_millis 605.3897969999866 usercpu_time_millis 654.248234000022 usercpu_time_millis_testing 5.912858000044707 usercpu_time_millis_testing 6.426979000025312 usercpu_time_millis_testing 5.608257999995203 usercpu_time_millis_testing 5.947382999977435 usercpu_time_millis_testing 5.990346999965368 usercpu_time_millis_testing 6.717588000014985 usercpu_time_millis_testing 5.692479999993338 usercpu_time_millis_testing 5.942301000004591 usercpu_time_millis_testing 5.588461999991523 usercpu_time_millis_testing 4.683105000026444 usercpu_time_millis_training 645.1235110000084 usercpu_time_millis_training 782.7940310000372 usercpu_time_millis_training 436.84021600000733 usercpu_time_millis_training 723.2677940000372 usercpu_time_millis_training 662.1095980000291 usercpu_time_millis_training 914.4614350000211 usercpu_time_millis_training 506.4329659999771 usercpu_time_millis_training 682.3241820000021 usercpu_time_millis_training 599.8013349999951 usercpu_time_millis_training 649.5651289999955 wall_clock_time_millis 655.5228233337402 wall_clock_time_millis 802.1259307861328 wall_clock_time_millis 463.99736404418945 wall_clock_time_millis 747.5242614746094 wall_clock_time_millis 675.7752895355225 wall_clock_time_millis 950.1028060913086 wall_clock_time_millis 520.6470489501953 wall_clock_time_millis 713.824987411499 wall_clock_time_millis 618.086576461792 wall_clock_time_millis 656.8067073822021 wall_clock_time_millis_testing 5.917549133300781 wall_clock_time_millis_testing 6.797313690185547 wall_clock_time_millis_testing 5.613088607788086 wall_clock_time_millis_testing 5.9528350830078125 wall_clock_time_millis_testing 5.995512008666992 wall_clock_time_millis_testing 6.725072860717773 wall_clock_time_millis_testing 5.698680877685547 wall_clock_time_millis_testing 6.013631820678711 wall_clock_time_millis_testing 5.593061447143555 wall_clock_time_millis_testing 4.686832427978516 wall_clock_time_millis_training 649.6052742004395 wall_clock_time_millis_training 795.3286170959473 wall_clock_time_millis_training 458.38427543640137 wall_clock_time_millis_training 741.5714263916016 wall_clock_time_millis_training 669.7797775268555 wall_clock_time_millis_training 943.3777332305908 wall_clock_time_millis_training 514.9483680725098 wall_clock_time_millis_training 707.8113555908203 wall_clock_time_millis_training 612.4935150146484 wall_clock_time_millis_training 652.1198749542236 weighted_recall 0.8650646950092421 [0.903141,0.773585] weighted_recall 0.878003696857671 [0.913613,0.792453] weighted_recall 0.844731977818854 [0.903141,0.704403] weighted_recall 0.8521256931608133 [0.897906,0.742138] weighted_recall 0.8629629629629629 [0.908377,0.753165] weighted_recall 0.8907407407407407 [0.934555,0.78481] weighted_recall 0.8888888888888888 [0.921466,0.810127] weighted_recall 0.8592592592592593 [0.905759,0.746835] weighted_recall 0.85 [0.913386,0.698113] weighted_recall 0.8685185185185185 [0.931759,0.716981]