10583986 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) 8300268 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 0.599162179982778 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 915 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 163 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 12 19040 random_state 47308 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.08568486383922859 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 22094240 description https://api.openml.org/data/download/22094240/description.xml -1 22094241 predictions https://api.openml.org/data/download/22094241/predictions.arff area_under_roc_curve 0.9288980583774872 [0.928898,0.928898] average_cost 0 f_measure 0.8606787274786616 [0.902908,0.759021] kappa 0.6619935579467042 kb_relative_information_score 0.5441045879922761 mean_absolute_error 0.1896172512153077 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8615840118430792 [0.910948,0.742749] number_of_instances 5404 [3818,1586] precision 0.8600867706335465 [0.895008,0.776021] predictive_accuracy 0.8615840118430792 prior_entropy 0.8731822780289229 relative_absolute_error 0.45720016571487593 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3103614443438133 root_relative_squared_error 0.6815748317257657 total_cost 0 unweighted_recall 0.8268485973060508 [0.910948,0.742749] area_under_roc_curve 0.9355016628799104 [0.935502,0.935502] area_under_roc_curve 0.9355428232737331 [0.935543,0.935543] area_under_roc_curve 0.9189140241693834 [0.918914,0.918914] area_under_roc_curve 0.9201241397477692 [0.920124,0.920124] area_under_roc_curve 0.9197759957584996 [0.919776,0.919776] area_under_roc_curve 0.9396745973888263 [0.939675,0.939675] area_under_roc_curve 0.9439658029027769 [0.943966,0.943966] area_under_roc_curve 0.9319371727748691 [0.931937,0.931937] area_under_roc_curve 0.9178345631324385 [0.917835,0.917835] area_under_roc_curve 0.9278050149391703 [0.927805,0.927805] 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 0.8607293120249999 [0.899204,0.768293] f_measure 0.8753237174886348 [0.9131,0.784566] f_measure 0.8480127457695097 [0.896021,0.732673] f_measure 0.8342369022290518 [0.881579,0.720497] f_measure 0.8581606840674199 [0.901554,0.753247] f_measure 0.8856006335282651 [0.918421,0.80625] f_measure 0.880796288538224 [0.916883,0.793548] f_measure 0.8524109556501649 [0.897801,0.742671] f_measure 0.8470586975792119 [0.896287,0.729097] f_measure 0.8635824600110314 [0.908163,0.756757] kappa 0.6676313194186216 kappa 0.6977275570195555 kappa 0.6290474134647129 kappa 0.6021018566945607 kappa 0.6548940464177598 kappa 0.7246891651865008 kappa 0.7104751692245829 kappa 0.6405944597964549 kappa 0.6259620318111851 kappa 0.6656174209195522 kb_relative_information_score 0.5520318177649685 kb_relative_information_score 0.5543285468981018 kb_relative_information_score 0.5323560677129435 kb_relative_information_score 0.4951638923820689 kb_relative_information_score 0.537154633270394 kb_relative_information_score 0.5778777206857374 kb_relative_information_score 0.5845562466998037 kb_relative_information_score 0.5411100205871225 kb_relative_information_score 0.5092039241366656 kb_relative_information_score 0.5574806485673391 mean_absolute_error 0.184605150821445 mean_absolute_error 0.18660092540479786 mean_absolute_error 0.19428873551315645 mean_absolute_error 0.20868081877973335 mean_absolute_error 0.18979216288333564 mean_absolute_error 0.1774180287997718 mean_absolute_error 0.17638991661411738 mean_absolute_error 0.18981215371601004 mean_absolute_error 0.2026718734853015 mean_absolute_error 0.18588365979159305 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 0.8625827761996883 [0.91129,0.745562] precision 0.8748322196326601 [0.904884,0.802632] precision 0.8472756044641652 [0.879093,0.770833] precision 0.8349322509761598 [0.886243,0.711656] precision 0.8574966761633429 [0.892308,0.773333] precision 0.8861258083480306 [0.92328,0.796296] precision 0.8803638893912904 [0.909794,0.809211] precision 0.8516642477112104 [0.887468,0.765101] precision 0.8466071428571429 [0.875,0.778571] precision 0.8639836264512507 [0.883375,0.817518] predictive_accuracy 0.8595194085027726 predictive_accuracy 0.8761552680221811 predictive_accuracy 0.8502772643253235 predictive_accuracy 0.833641404805915 predictive_accuracy 0.8592592592592593 predictive_accuracy 0.8851851851851852 predictive_accuracy 0.8814814814814815 predictive_accuracy 0.8537037037037036 predictive_accuracy 0.85 predictive_accuracy 0.8666666666666667 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 0.44493179881358275 relative_absolute_error 0.4497419764898086 relative_absolute_error 0.468270989170271 relative_absolute_error 0.5029585126114049 relative_absolute_error 0.45802941841640704 relative_absolute_error 0.42816666037836676 relative_absolute_error 0.4256854956173561 relative_absolute_error 0.45807766271334954 relative_absolute_error 0.48821145533443555 relative_absolute_error 0.44777072668806367 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 0.30355938038964325 root_mean_squared_error 0.30506676572164554 root_mean_squared_error 0.3226866929261987 root_mean_squared_error 0.3247111279667289 root_mean_squared_error 0.3152252778691493 root_mean_squared_error 0.29215551316356525 root_mean_squared_error 0.290488446391224 root_mean_squared_error 0.311406120555168 root_mean_squared_error 0.3272322956376039 root_mean_squared_error 0.3086851987033841 root_relative_squared_error 0.6663625170958188 root_relative_squared_error 0.6696714745814252 root_relative_squared_error 0.7083500982760721 root_relative_squared_error 0.7127940644864823 root_relative_squared_error 0.6928729134917126 root_relative_squared_error 0.6421650032848369 root_relative_squared_error 0.6385007495189421 root_relative_squared_error 0.6844783117861989 root_relative_squared_error 0.7179398438693663 root_relative_squared_error 0.6772479560126423 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 0.8399436925812507 [0.887435,0.792453] unweighted_recall 0.844380783035332 [0.921466,0.767296] unweighted_recall 0.8058628864960979 [0.913613,0.698113] unweighted_recall 0.8032615496065065 [0.876963,0.72956] unweighted_recall 0.8225859897938896 [0.910995,0.734177] unweighted_recall 0.865034130823779 [0.913613,0.816456] unweighted_recall 0.8512823911458678 [0.924084,0.778481] unweighted_recall 0.8149479753462787 [0.908377,0.721519] unweighted_recall 0.8020848808993215 [0.918635,0.685535] unweighted_recall 0.819392858911504 [0.934383,0.704403] usercpu_time_millis 830.9134779999567 usercpu_time_millis 1037.313135999966 usercpu_time_millis 570.2909549999617 usercpu_time_millis 400.15629499998795 usercpu_time_millis 1103.6471229999734 usercpu_time_millis 761.800433000019 usercpu_time_millis 495.63366399996767 usercpu_time_millis 510.13460600000826 usercpu_time_millis 376.56589500005566 usercpu_time_millis 439.9773030000347 usercpu_time_millis_testing 6.107639999981984 usercpu_time_millis_testing 6.74640099998669 usercpu_time_millis_testing 5.799261999982264 usercpu_time_millis_testing 5.7610000000067885 usercpu_time_millis_testing 6.263627999999244 usercpu_time_millis_testing 6.427830000006907 usercpu_time_millis_testing 5.884317999971245 usercpu_time_millis_testing 5.585845000041445 usercpu_time_millis_testing 5.567992000010236 usercpu_time_millis_testing 4.0348480000034215 usercpu_time_millis_training 824.8058379999748 usercpu_time_millis_training 1030.5667349999794 usercpu_time_millis_training 564.4916929999795 usercpu_time_millis_training 394.39529499998116 usercpu_time_millis_training 1097.3834949999741 usercpu_time_millis_training 755.3726030000121 usercpu_time_millis_training 489.7493459999964 usercpu_time_millis_training 504.5487609999668 usercpu_time_millis_training 370.9979030000454 usercpu_time_millis_training 435.94245500003126 wall_clock_time_millis 844.4960117340088 wall_clock_time_millis 1062.8948211669922 wall_clock_time_millis 574.735164642334 wall_clock_time_millis 406.10432624816895 wall_clock_time_millis 1126.6515254974365 wall_clock_time_millis 782.606840133667 wall_clock_time_millis 511.75880432128906 wall_clock_time_millis 519.4733142852783 wall_clock_time_millis 382.36236572265625 wall_clock_time_millis 441.0884380340576 wall_clock_time_millis_testing 6.111860275268555 wall_clock_time_millis_testing 6.751298904418945 wall_clock_time_millis_testing 5.804538726806641 wall_clock_time_millis_testing 5.766868591308594 wall_clock_time_millis_testing 6.268501281738281 wall_clock_time_millis_testing 6.457805633544922 wall_clock_time_millis_testing 5.890607833862305 wall_clock_time_millis_testing 5.590677261352539 wall_clock_time_millis_testing 5.574703216552734 wall_clock_time_millis_testing 4.039525985717773 wall_clock_time_millis_training 838.3841514587402 wall_clock_time_millis_training 1056.1435222625732 wall_clock_time_millis_training 568.9306259155273 wall_clock_time_millis_training 400.33745765686035 wall_clock_time_millis_training 1120.3830242156982 wall_clock_time_millis_training 776.1490345001221 wall_clock_time_millis_training 505.86819648742676 wall_clock_time_millis_training 513.8826370239258 wall_clock_time_millis_training 376.7876625061035 wall_clock_time_millis_training 437.04891204833984 weighted_recall 0.8595194085027726 [0.887435,0.792453] weighted_recall 0.8761552680221811 [0.921466,0.767296] weighted_recall 0.8502772643253235 [0.913613,0.698113] weighted_recall 0.833641404805915 [0.876963,0.72956] weighted_recall 0.8592592592592593 [0.910995,0.734177] weighted_recall 0.8851851851851852 [0.913613,0.816456] weighted_recall 0.8814814814814815 [0.924084,0.778481] weighted_recall 0.8537037037037037 [0.908377,0.721519] weighted_recall 0.85 [0.918635,0.685535] weighted_recall 0.8666666666666667 [0.934383,0.704403]