10583957 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) 8300239 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 0.8522652648175043 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 316 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 187 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 2 19040 random_state 22741 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2105528583995058 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 22094182 description https://api.openml.org/data/download/22094182/description.xml -1 22094183 predictions https://api.openml.org/data/download/22094183/predictions.arff area_under_roc_curve 0.9144130114404656 [0.914413,0.914413] average_cost 0 f_measure 0.8478466351156806 [0.894526,0.735475] kappa 0.6301298399406631 kb_relative_information_score 0.5014880918297743 mean_absolute_error 0.20646559678534593 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8491857883049593 [0.905186,0.714376] number_of_instances 5404 [3818,1586] precision 0.847059748564758 [0.884114,0.75786] predictive_accuracy 0.8491857883049593 prior_entropy 0.8731822780289229 relative_absolute_error 0.49782445668667286 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3254920841702632 root_relative_squared_error 0.7148027454423663 total_cost 0 unweighted_recall 0.8097808746912647 [0.905186,0.714376] area_under_roc_curve 0.9142382034311304 [0.914238,0.914238] area_under_roc_curve 0.9296239586420364 [0.929624,0.929624] area_under_roc_curve 0.9106654812473247 [0.910665,0.910665] area_under_roc_curve 0.905355790444203 [0.905356,0.905356] area_under_roc_curve 0.8913032672808006 [0.891303,0.891303] area_under_roc_curve 0.9152859699118563 [0.915286,0.915286] area_under_roc_curve 0.9224766386109086 [0.922477,0.922477] area_under_roc_curve 0.9214659685863875 [0.921466,0.921466] area_under_roc_curve 0.9079301408078707 [0.90793,0.90793] area_under_roc_curve 0.9270704369500982 [0.92707,0.92707] 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 0.8487035830895446 [0.892388,0.74375] f_measure 0.8671543656396001 [0.905512,0.775] f_measure 0.8463024608287393 [0.894602,0.730263] f_measure 0.8215359501865972 [0.875325,0.692308] f_measure 0.8313325194429372 [0.884021,0.703947] f_measure 0.8558480130050728 [0.900645,0.747541] f_measure 0.8666666666666667 [0.905759,0.772152] f_measure 0.8381272554605887 [0.889744,0.713333] f_measure 0.8326964871519326 [0.885457,0.706271] f_measure 0.8694183211424591 [0.911877,0.767677] kappa 0.6361444202030806 kappa 0.6805170518856317 kappa 0.6251753214931476 kappa 0.5676971482794786 kappa 0.5882193452179219 kappa 0.6483661457276232 kappa 0.6779110610378422 kappa 0.6035106891605766 kappa 0.5921173235563701 kappa 0.6801606922126082 kb_relative_information_score 0.4982810242314879 kb_relative_information_score 0.5185830242793967 kb_relative_information_score 0.5031796081468662 kb_relative_information_score 0.4650762943349775 kb_relative_information_score 0.4510267654122881 kb_relative_information_score 0.4984508247431666 kb_relative_information_score 0.5276065453012218 kb_relative_information_score 0.5120684403298745 kb_relative_information_score 0.49278341779010626 kb_relative_information_score 0.5478020185060779 mean_absolute_error 0.20858987119428024 mean_absolute_error 0.20207050960525963 mean_absolute_error 0.2047925540769152 mean_absolute_error 0.21823371940110514 mean_absolute_error 0.22603442108754362 mean_absolute_error 0.2086294400261654 mean_absolute_error 0.19819783591207182 mean_absolute_error 0.1989309120783075 mean_absolute_error 0.20979089915298157 mean_absolute_error 0.1893713159352412 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 0.8490040902303979 [0.894737,0.73913] precision 0.8674222122049478 [0.907895,0.770186] precision 0.8454976175162292 [0.878788,0.765517] precision 0.8207466800581543 [0.868557,0.705882] precision 0.8302737408154278 [0.870558,0.732877] precision 0.8551151192736071 [0.888041,0.77551] precision 0.8666666666666667 [0.905759,0.772152] precision 0.8372344246008341 [0.871859,0.753521] precision 0.8316954264870933 [0.868687,0.743056] precision 0.8698121710289134 [0.88806,0.826087] predictive_accuracy 0.8484288354898336 predictive_accuracy 0.866913123844732 predictive_accuracy 0.8484288354898336 predictive_accuracy 0.822550831792976 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.8574074074074075 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.8407407407407408 predictive_accuracy 0.8351851851851851 predictive_accuracy 0.8722222222222222 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 0.5027393124828421 relative_absolute_error 0.4870264720446859 relative_absolute_error 0.4935870914956335 relative_absolute_error 0.5259827307247198 relative_absolute_error 0.5454936223918608 relative_absolute_error 0.5034898155329234 relative_absolute_error 0.4783150059257138 relative_absolute_error 0.4800841540558305 relative_absolute_error 0.5053603069338823 relative_absolute_error 0.4561720586159497 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 0.32186676797693803 root_mean_squared_error 0.31270815152716225 root_mean_squared_error 0.3308093722586224 root_mean_squared_error 0.33944778699217065 root_mean_squared_error 0.34275016024093785 root_mean_squared_error 0.3207994300592966 root_mean_squared_error 0.3125394381945175 root_mean_squared_error 0.32532046094278444 root_mean_squared_error 0.33329618544240536 root_mean_squared_error 0.31370676495941086 root_relative_squared_error 0.7065502288326777 root_relative_squared_error 0.6864455669284595 root_relative_squared_error 0.7261807086777945 root_relative_squared_error 0.7451434426844858 root_relative_squared_error 0.7533732818992691 root_relative_squared_error 0.7051250370978558 root_relative_squared_error 0.6869693718306084 root_relative_squared_error 0.7150623741712123 root_relative_squared_error 0.7312438733240921 root_relative_squared_error 0.6882651524871128 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 0.8192400144884586 [0.890052,0.748428] unweighted_recall 0.8415077875465113 [0.903141,0.779874] unweighted_recall 0.8045539859725377 [0.910995,0.698113] unweighted_recall 0.7807221179492245 [0.882199,0.679245] unweighted_recall 0.7875604745178606 [0.897906,0.677215] unweighted_recall 0.8175657763933992 [0.913613,0.721519] unweighted_recall 0.8389555305189211 [0.905759,0.772152] unweighted_recall 0.7927960766121015 [0.908377,0.677215] unweighted_recall 0.7879215569751894 [0.902887,0.672956] unweighted_recall 0.8269945030456098 [0.937008,0.716981] usercpu_time_millis 164.5480710000129 usercpu_time_millis 281.9315119999999 usercpu_time_millis 220.06989699997348 usercpu_time_millis 181.62958199999935 usercpu_time_millis 132.0616120000011 usercpu_time_millis 139.07204299999876 usercpu_time_millis 129.60812599999372 usercpu_time_millis 208.546522000006 usercpu_time_millis 190.5208829999765 usercpu_time_millis 161.76459899998008 usercpu_time_millis_testing 5.618485000013607 usercpu_time_millis_testing 5.856631000000334 usercpu_time_millis_testing 5.4545299999801955 usercpu_time_millis_testing 5.283649999995532 usercpu_time_millis_testing 5.469365999999809 usercpu_time_millis_testing 5.249794999997448 usercpu_time_millis_testing 5.2336969999942085 usercpu_time_millis_testing 5.777326000014682 usercpu_time_millis_testing 6.056436999983816 usercpu_time_millis_testing 3.8061059999847657 usercpu_time_millis_training 158.9295859999993 usercpu_time_millis_training 276.07488099999955 usercpu_time_millis_training 214.61536699999328 usercpu_time_millis_training 176.3459320000038 usercpu_time_millis_training 126.5922460000013 usercpu_time_millis_training 133.8222480000013 usercpu_time_millis_training 124.37442899999951 usercpu_time_millis_training 202.76919599999133 usercpu_time_millis_training 184.46444599999268 usercpu_time_millis_training 157.95849299999531 wall_clock_time_millis 165.86899757385254 wall_clock_time_millis 294.3308353424072 wall_clock_time_millis 250.410795211792 wall_clock_time_millis 189.2411708831787 wall_clock_time_millis 139.33038711547852 wall_clock_time_millis 147.86314964294434 wall_clock_time_millis 131.97612762451172 wall_clock_time_millis 215.40570259094238 wall_clock_time_millis 192.8844451904297 wall_clock_time_millis 162.37807273864746 wall_clock_time_millis_testing 5.623579025268555 wall_clock_time_millis_testing 5.861759185791016 wall_clock_time_millis_testing 5.461215972900391 wall_clock_time_millis_testing 5.288362503051758 wall_clock_time_millis_testing 5.474567413330078 wall_clock_time_millis_testing 5.256175994873047 wall_clock_time_millis_testing 5.239248275756836 wall_clock_time_millis_testing 5.783796310424805 wall_clock_time_millis_testing 6.067752838134766 wall_clock_time_millis_testing 3.8118362426757812 wall_clock_time_millis_training 160.24541854858398 wall_clock_time_millis_training 288.4690761566162 wall_clock_time_millis_training 244.9495792388916 wall_clock_time_millis_training 183.95280838012695 wall_clock_time_millis_training 133.85581970214844 wall_clock_time_millis_training 142.6069736480713 wall_clock_time_millis_training 126.73687934875488 wall_clock_time_millis_training 209.62190628051758 wall_clock_time_millis_training 186.81669235229492 wall_clock_time_millis_training 158.56623649597168 weighted_recall 0.8484288354898336 [0.890052,0.748428] weighted_recall 0.866913123844732 [0.903141,0.779874] weighted_recall 0.8484288354898336 [0.910995,0.698113] weighted_recall 0.822550831792976 [0.882199,0.679245] weighted_recall 0.8333333333333334 [0.897906,0.677215] weighted_recall 0.8574074074074074 [0.913613,0.721519] weighted_recall 0.8666666666666667 [0.905759,0.772152] weighted_recall 0.8407407407407408 [0.908377,0.677215] weighted_recall 0.8351851851851851 [0.902887,0.672956] weighted_recall 0.8722222222222222 [0.937008,0.716981]